aakar kale
Solutions Delivery Associate at ZS
technology consulting @ z
’ always introduced engineer tech enthusiast love playing new tech get excited understanding work ! ! ’ software engineer , business analyst , startup enthusiast , videographer , marathon runner , proud son , loving brother , lifetime student . ’ optimist . ’ person belief consistent hard work almost always beat smart work . thing , ’ also much . ’ limited character count filtered photo found empty void social medium . ’ indian currently living golden state california , trying pursue childhood dream silicon valley . find frequenting city san francisco , find answer question life search good spot see sunset ! ! ! ’ worried ’ able read book want lifetime . mkbhd advent smartphones sparked passion world technology . , ’ still thing . ’ year varied experience . ’ drop ocean . ’ part ever-changing tide . thing yet come .
ZS
https://www.linkedin.com/company/zs-associates
Working directly with clients to provide cloud computing, data migration, building solutions that serve long-term business process needs.
San Francisco, California, United States
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Solutions Delivery Associate
California State University - East Bay
https://www.linkedin.com/company/csueastbay
Research Assistant under Prof. Joon at Marketing Department of California State University - East Bay
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Research Assistant
T-Mobile
https://www.linkedin.com/company/t-mobile
As a part of the Enterprise Data Solutions Team under Product & Technology at T-Mobile, I undertook various tasks.

Created a simplified data pipeline in Python and deployed an Elastic Beanstalk on AWS that increased reliability and completed marketing campaigns with logging, by pulling records from T-Mobile Teradata storage and posting to Marketing Service Platform which resulted in increased reliability and efficient storage of marketing data.

Automated the deployment of Azure functions through Jenkins for the same pipeline so that it could be run on an automated schedule.

Interacted with other teams to extract, transform, and load data from a variety of data sources using SQL and big data technologies.
Greater Seattle Area
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Software Engineering Intern
Santa Clara University Leavey School of Business
https://www.linkedin.com/company/santa-clara-university-leavey-school-of-business
San Francisco Bay Area
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Graduate Student Assistant
Navayuvak Entrepreneurs Pvt. Ltd.
https://www.linkedin.com/company/navayuvak-entrepreneurs-pvt-ltd
I got an opportunity to be a part of Navayuvak Entrepreneurs as a Business Analyst where I was leading a team responsible for managing and increasing the effectiveness and efficiency of support services while maintaining coordination and communication between different teams like Sales, HR, Finance, Legal and other verticals in the company. I have also worked on supervising overall planning systems, financial management, and control.

As a Business Analyst, I analyzed market trends, did competitor and customer research and used data with the help of Salesforce Einstein Analytics & Lightning Platform to drive the overall success of the program which directly resulted in 300% growth in annual income of the company.

Developed a simple database and ETL process to load the existing data to store the data for the business process. Developed existing reports which are required to run day to day business.

Translated stakeholder requirements into different tangible deliverables such as user cases, user stories, process diagrams, and DFDs

Responsible for the allocation of checks on the company expenditure and have mentored many clients in their Start-Up Incubation and Education.
My best experience here was to curate and execute The Mumbai Startup Fest for 3 consecutive years.

Helped to define a vision and strategy and led a team of 6 people which oversaw overall planning systems, financial management, and control.
Mumbai Area, India
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Business Analyst / Operations Lead - Strategic Partnerships
Invest India
https://www.linkedin.com/company/invest-india
Being in the StartUp Ecosystem of Mumbai from the last 4  Years , I am chosen to be a Mentor for the StartUp India Initiative - "Invest India" by the Government Of India - Ministry of Commerce and Industry.
Mumbai Area, India
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Mentor
Rotaract
https://www.linkedin.com/company/rotaract-international
Rotaract Club of Lokhandwala is an organization that fosters leadership and responsible citizenship, encourages high ethical standards in business and promotes international understanding and peace. The local Rotaracts provide valuable assisstance and guidance to the club.

The Club's signature events include an inter-school cultural extravaganza held for the local schools, charity shows in collaboration with the Dance Clubs around the area and we also organize various social and awareness events, which helps the society to be well educated and informed about all the different problems suffered by the people around us.

Members of the Club participate in Rotary Youth Leadership Awards every year and last year Rotaractors of the Club had a clean sweep of the Inter-Collegiate competitions held in the city, organised by the Rotary Clubs. They bagged the prizes in most categories besides the top awards.
Mumbai Area, India
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Director Of Professional Development
Bookmarked Inc.
https://www.linkedin.com/company/bookmarked-ventures
As a Co-founder, I was responsible for business development, brand development, marketing,
website development, drafting privacy policies and structuring commercial transactions.
strategic consulting, including business plan & sales strategy development.

Also acted as the Head of Product and devised a brand strategy for the company which lead to a long-lasting impact on the audience and consequently higher sales.
Formulated and devised entire Operations for the company keeping startup ecosystem in mind. Developed long and short-term strategies and tactics for growth.

Managed budgets for marketing, operations, and technology. Developed and managed supply chain to ensure continuity and maintain margins in delivery.

Recruited, supervised and developed personnel to support business growth and was responsible for supervising a team of 30 interns to achieve our expansion and sales target of 120 colleges across Mumbai and Pune.
Mumbai Area, India
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Co-Founder & CEO
Entrepreneurship Cell of Fr. Conceicao Rodrigues College of Engineering
Advisor to the Board for various activities and events. Worked closely with the President of the Council to help the council to build relationships with the key-players in the ecosystem and eventually raised funds through these relations.
Mumbai Area, India
Advisor To The Board
Entrepreneurship Cell of Fr. Conceicao Rodrigues College of Engineering
- Helping student start-ups with their Business Plan Development.
- Organizing workshops, seminars and events related to Entrepreneurship and Business Development. 
- Managing and organizing various B-Plans and Idea generation events.
- Organized a National Level Startup Fest- The Mumbai Startup Fest
Bandra, Mumbai
Chairperson
Master of Science - MS
Courses: Big Data, Machine Learning, Deep Learning, Optimization Models, Time Series Analytics, Probability, and Statistics.

Transfer Student at CSU East Bay specializing in Data Science
Business Analytics
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California State University - East Bay
https://www.linkedin.com/school/csueastbay/
Masters
Management Information Systems

Relevant Subjects:-

Object-Oriented Analysis & Programming
Information Systems Analysis & Design
Database Management Systems
Software Project Management
Data Science Analysis with Python
Big Data Modelling.
Management Information Systems
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Santa Clara University
https://www.linkedin.com/school/santa-clara-university/
Bachelor of Engineering (BE)
Relevant Subjects:-

Data Structures & Algorithms
Computer Organization & Architecture, 
Operating Systems, Data Mining & Business Intelligence, 
Open Source Technologies, 
Cloud Computing, 
Usability Engineering, 
Enterprise Resource Planning.
Information Technology
https://media-exp1.licdn.com/dms/image/C4E0BAQGsu_DimiqUow/company-logo_100_100/0/1519905080435?e=1655942400&v=beta&t=Sa0BWs3A0LPDnGfuYVzrG_FCCa5FECl_GGoNw7tAUe0
University of Mumbai
https://www.linkedin.com/school/university-of-mumbai/
Rotaract Club Of Lokhandwala Township
Director. Professional Development
Entrepreneurship Cell of Fr. Conceicao Rodrigues College of Engineering
Chairperson
With the daily accretion of the number of cars and transportation system, it has become implausible to fully manage and monitor it by humans. Number Plate recognition system is very much a need for traffic monitoring, tracking stolen cars, enforcing red light violations, managing parking toll, border and custom check-points. It is a demanding problem because of the diversity of plate formats in different countries, different scales, irregular illuminations and rotations during image capture. Our objective is to provide a novel algorithm for recognition of license plates in complex scenarios. We have achieved this using various mathematical morphology and Support Vector Machine.
Number Plate Recognition System : A Smart City Solution
International Research Journal of Engineering and Technology (IRJET), Volume 4 Issue 12
https://irjet.net/archives/V4/i12/IRJET-V4I12122.pdf
In Data Communications, latest research inclination is towards the security of network information. When classical and modern encryption fails because of lack of uniqueness, biometric information can be used to attain authentication and for the security of confidential data. In this paper, the exploration of relatively new and highly implemented 3D face recognition technology is being analyzed. Several face recognition software uses 3D model, which provides higher accuracies. Some distinctive features of the face are being utilized in the 3D system like depth, curves of nose, chin and eye socket, skin complexion, and many others are extracted, which is usually ignored in the 2D system. 2D face recognition system provides better security if the input is frontal face image. Pitfalls of 2D face recognition system, challenges to 3D face recognition systems, types of face recognition algorithms, Network and other applications will be studied majorly. Some approaches to challenges faced in the 2D system are also discussed in the paper.
3D Face Recognition Technology in Network Security Applications
International Research Journal of Engineering and Technology (IRJET), Volume 4 Issue 12
https://www.irjet.net/archives/V4/i12/IRJET-V4I12126.pdf
Navayuvak Entrepreneurs Pvt. Ltd.
President's Circle
United Nations
United Nations Young Changemaker
Java MasterClass
Udemy
Machine Learning - Python & R in Data Science
Udemy
Python BootCamp
Udemy
Pneumonia is an inflammatory condition of the lung affecting primarily the small air sacs known as alveoli. Symptoms typically include some combination of productive or dry cough, chest pain, fever, and difficulty breathing. The severity of the condition is variable.

Pneumonia is usually caused by infection with viruses or bacteria and less commonly by other microorganisms, certain medications, or conditions such as autoimmune diseases. Risk factors include cystic fibrosis, chronic obstructive pulmonary disease (COPD), sickle cell disease, asthma, diabetes, heart failure, a history of smoking, a poor ability to cough (such as following a stroke), and a weak immune system. Diagnosis is often based on symptoms and physical examination. Chest X-rays, blood tests, and the culture of the sputum may help confirm the diagnosis.

In this project, I have a dataset that has labeled images for Pneumonia and Normal X-Rays.
I have used CNN to train the algorithm which then successfully identifies the Pneumonia in an X-Ray with 90% accuracy.
Pneumonia Detection using Convolutional Neural Networks
https://www.kaggle.com/aakarkale/pneumonia-detection-using-convolution-neural-nets
Image recognition and classification is a rapidly growing field in the area of machine learning. In particular, object recognition is a key feature of image classification, and the commercial implications of this are vast. Image classifiers will increasingly be used to: Replace passwords with facial recognition, Allow autonomous vehicles to detect obstructions, Identify geographical features from satellite imagery.
Image Classification using Convolutional Neural Network implemented in Keras - TensorFlow
Data analysis for movie ratings by critics and audience for every genre and year along with the movie budget for the years 2007-2011 for an article for movie review firm using R and BI tools.
Methods used - Data Wrangling before load, Data Analysis using R Grammar of Graphics for ggplot2 library, Tableau.
Data Analysis of Movie Ratings & Reviews - Using R programming and BI tools
To implement the K-Means algorithm using MapReduce to make it scalable. The inputs of the algorithm were the data file and the centroid file. The data file contains m data points. Each data
point is represented as an n-dimensional numeric vector. The centroid file has K
data points that are randomly chosen from the data file. The distance measure
used here was Euclidian distance.
Big Data Analytics - K-Means Clustering Algorithm using MapReduce.
The sinking of the RMS Titanic is one of the most infamous shipwrecks in history.  On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.

In this challenge, I have completed the analysis of what sorts of people were likely to survive. In particular, I have to apply the tools of machine learning to predict which passengers survived the tragedy.

Analysis and prediction of survival of passengers from the Titanic disaster. The outputs are in binary format. Three methods are used for the completion of this project. Data Analysis, Data preparation/ cleaning from the source, prediction of missing input age values using Regression and Data Modelling for final analysis. Data analysis is done using R, Data preparation and cleaning of the source data is done using SQL server data tools and SQL server management studio, The missing age values in the data file are predicted using linear regression method, Neural network model, and the final analysis is done by building a Logistic regression model and a Neural network classifier, support vector machines, supervised machine learning techniques. Testing of the model was done using the model output and the testing data provided and the prediction accuracy was in the range of 86% to 95%
Titanic Datasets: Machine Learning
https://www.kaggle.com/aakarkale/titanic-dataset-submissions
Analysis of bank customer data and prediction of future customer’s higher risk of leaving the bank, and also preparing a model for the possibility of services that can be provided to the customers such as to determine the possibility of a loan, credit to a customer or is a customer reliable or not. And providing visualization using Tableau.
Methods Used - Data Analysis, Data Wrangling, Linear, Logistic Regression, Neural Networks, Data Visualization. 

Tools Used – R, Matlab, Tableau public, Matlab, GGPLOT2 library, Machine Learning toolbox/libraries.
Data Analysis, Data Preparation and Modelling of a bank customer data and Visual Representation.
Database Design & Setup for Albaton Automobili Pvt. Ltd.
Sentiment Analysis is the process of ‘computationally’ determining whether a piece of writing is positive, negative or neutral. It’s also known as opinion mining, deriving the opinion or attitude of a speaker. Sentiment Analysis is a common NLP task that Data Scientists need to perform. 

In this project I have determined the reaction of twitter users to the recent #metoo movement.
Used python libraries like Tweepy to use Twitter API’s to extract data for posterior analysis, Pandas to visualize data using Pandas dataframe, Matplotlib to plot data in different plotting figures (scatter and pie) , TextBlob to do sentiment analysis to analyze the polarity of the clean extracted tweets using a pre-trained Naive Bayes Classifier dataset.
Twitter Sentiment Analysis on the #MeToo Movement Using Python
https://github.com/aakarkale/metoomovement/blob/master/metoo
Vehicles play an eminent role in transportation. In India, vehicles have increased
days to days. This is because of population growth, easy availability of domestic cars,
and disproportionate ratio of assets. NPR is an image processing technology used to
identify vehicles by taking only number plate as a parameter. It can be used in many
applications such as entrance admission, Traffic control, security control, parking control,airport, speed control, harbor cargo control, road traffic control and so on. Every country uses their own way of designing and allocating number plates to their country vehicles.
All of them India is one of country which used number plate of vehicles own way design.
These number plates are then used by various government offices for their respective regular administrative task like- traffic police tracking those who are transgressing the traffic
rules, to identify the theft cars, in toll collection and parking allocation management etc.
The main aim of this paper is to purpose an efficient method for NPR.
Number plate recognition (NPR), as an important research field used in computer vision,
pattern recognition, image processing and artificial intelligence, is one of the most important aspects of the intelligent transportation system of human society in the 21st century.
Number Plate Recognition is comprised of three main sections: image preprocessing,
number (license) plate extraction (localization) and character recognition. NPR can be used to store the images captured by the cameras as well as the text from the license plate, with some configurable memory. NPR technology tends to be region-specific, owing to plate variation from place to place. The objective of the research is to successfully
locate vehicle number plate, segment characters and recognize them given a car image.
The system must deal with different angles, distances, scales, resolutions and illumination
Number Plate Recognition Using Support Vector Machines
Earthquake is one of the natural calamities that occur due to release of energy from the earth crust. This calamity results into the loss of human life, property .The data of previous earthquakes may serve as a tool for predicting various parameters such as, highly prone regions, intensity of earthquake or for further research work. This data is usually available in the form of 'raw data'. Visualization of data using conventional excel sheet consume lot of time. This paper discuss about the project that serves as a time efficient and user friendly solution for study, analysis and representation of available earthquake data using data mining technique.
Earthquake Prediction Using Machine Learning (PYTHON)
Social Services
Rotary International
https://www.linkedin.com/company/rotary-international
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Volunteer
Photographers Direct
https://www.linkedin.com/company/photographers-direct
https://media-exp1.licdn.com/dms/image/C560BAQEJKALGgtjc-Q/company-logo_100_100/0/1519879916067?e=1655942400&v=beta&t=jX_qjCXU42gKIzY3LVPQ2W6zjd-fjEdVuFvUZWd40Xo
Team Leader
Health
HelpAge India
https://www.linkedin.com/company/helpage-india
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Volunteer
California State University - East Bay
wapps1.csueastbay.edu
(AA).”*
Masters Program (Master)
https://wapps1.csueastbay.edu/cediploma/
NIIT Limited
NIIT CompTIA (Networking & Hardware Technician)
https://in.linkedin.com/in/sojan-chandy-033656132
Mumbai
Sojan Chandy
Associate at ZS | Data Analytics & Engineering
https://www.linkedin.com/in/bhagyashribadgujar
San Francisco Bay Area
Bhagyashri Badgujar
Business Technology Solutions Associate at ZS
https://www.linkedin.com/in/shalini-suri
San Francisco Bay Area
Shalini Suri
Data Analyst at ZS
https://www.linkedin.com/in/nisoni27
New York City Metropolitan Area
Nishant Soni
Business Technology Solutions Associate at ZS
https://in.linkedin.com/in/merlinpayapilly
Mumbai
Merlin Payapilly
Business Technology Analyst at ZS
https://www.linkedin.com/in/sagarrspawar
San Francisco, CA
Sagarr S Pawar
Data Scientist at Panasonic Avionics Corporation
https://www.linkedin.com/in/vrushali-banda
San Francisco Bay Area
Vrushali Banda
Graduate student in Business Analytics at California  State University| Aspiring Data Science professional
https://www.linkedin.com/in/kevinrodrigues1996
United States
Kevin Rodrigues
Software Development Engineer at Amazon Alexa
https://www.linkedin.com/in/kshitijasankhe
Santa Clara, CA
Kshitija Sankhe
Software Engineer In Test at Okta, Inc.
https://www.linkedin.com/in/kedarrpatil
Milpitas, CA
KEDAR R PATIL
Senior Data Analyst at Cigna Healthcare
https://www.linkedin.com/in/pareyas
Santa Clara, CA
Yash Parekh
Full stack Data Science Engineer | MS Computer Science '22
https://www.linkedin.com/in/siddharth-naik
San Francisco Bay Area
Siddharth Naik
MS Business Analytics | Data Science | Software Development | Java | Spring | Python | SQL
https://www.linkedin.com/in/parthmehta24
Seattle, WA
Parth Mehta
Business Analyst at Amazon | Data Analysis | Business Intelligence | Product Analysis
https://www.linkedin.com/in/mansimehrotra2309
Seattle, WA
Mansi Mehrotra
Data Engineer at Amazon Web Services (AWS)
https://www.linkedin.com/in/rishabh-rathod-bba22b109
San Francisco, CA
Rishabh Rathod
Product Manager at Amazon
https://www.linkedin.com/in/saxenaashutosh
Stanford, CA
Ashutosh Saxena
Founder & CEO at Caspar.AI; Angel Investor; MIT TR35; Stanford CS PhD; Sloan Fellow; Microsoft Fellow; SF Business Times 40 under 40; Former Prof Cornell
https://www.linkedin.com/in/vaibhavvasanthrao
Bellevue, WA
Vaibhav Rao
Product Manager, Global Growth @ eBay | University of Washington
https://www.linkedin.com/in/ayushpareek
San Francisco Bay Area
Ayush Pareek
Machine Learning Engineer at Apple |  Data Scientist Intern at Microsoft | Research Grad at CMU, Yale
https://www.linkedin.com/in/miketamir
San Francisco Bay Area
Mike Tamir, PhD
Chief ML Scientist & Head of Machine Learning/AI at SIG, Data Science Faculty at UC Berkeley
https://www.linkedin.com/in/arunimasharma
San Francisco Bay Area
Arunima Sharma🔅
PM @Salesforce| TEDx Speaker| Fellow @Contrary| Founder @APM Club| ex Microsoft AI & Google WTM| tech & empathy
Richa Joshi
      
          



            
              
        
              
  

    
        Aakar is one of the finest colleagues I had the pleasure of working with. His strength is his operational background and analytical skill set. He is very quick thinking on his feet and always comes out with "out-of-the-box" ideas. He made me comfortable when I moved into a new role at Navayuvak Entrepreneurs . I was able to quickly ramp up on my job because of his guidance. Very sincere and honest individual and a great asset to have any in any organization. Chirag Dodiya
      
          



            
              
        
              
  

    
        Working closely with Aakar for over a year has been an absolute pleasure. Aakar is an extremely analytical thinker who also is able to effectively teach and mentor his junior teammates.I have personally learned many valuable techniques from him. He has gone above and beyond for the team on numerous occasions when faced with tight client deadlines and has consistently fostered positive team culture that allows his coworkers to thrive. 

Aakar is one of the most inquisitive people I know, always questioning why an analysis looks a certain way and excited to learn more. He approaches conventional questions from multiple unique angles to uncover powerful insights. His diligence is remarkable, and I enthusiastically recommend him for anything that he's excited for.

Liked by Aakar Kale
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During World War II, fighter planes would come back from battle with bullet holes. The Allies found the areas that were most commonly hit by enemy…
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Vitali Klitschko is a multi millionaire, He has the wealth and profile to be anywhere in the world. He is currently armed with weapons waiting for…
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More of us need to realize this :)
Microsoft Power BI
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https://www.linkedin.com/groups/5096169
Cal State East Bay MS-Business Analytics
https://media-exp1.licdn.com/dms/image/C5607AQHPkW2hREE_IQ/group-logo_image-shrink_200x200/0/1631429282346?e=1647691200&v=beta&t=oHCJgt41Mzo-WQlHvp9GxBG6UnVM_JFrdzh3pzIST4Y
https://www.linkedin.com/groups/6737731
Network with IITians in Business-Build Relations-Global & International Engineers Leaders
https://media-exp1.licdn.com/dms/image/C4D07AQEDsJ1PTGRizw/group-logo_image-shrink_200x200/0/1631366310705?e=1647691200&v=beta&t=vZS7vXXCrRSoNMhi5lIykqSnba4vAe0SUBKf3vRhfKs
https://www.linkedin.com/groups/133444
Artificial Intelligence and Business Analytics (AIBA) Group
https://media-exp1.licdn.com/dms/image/C4E07AQHsCFbktnq6FA/group-logo_image-shrink_92x92/0/1631000142355?e=1647691200&v=beta&t=MAIKmwzGGR7zNWzVqZAoCxVv7paFGWJwKqWY5RrZsr0
https://www.linkedin.com/groups/62438
Angel Investors Network
https://media-exp1.licdn.com/dms/image/C4D07AQFLt9umaGWkNA/group-logo_image-shrink_200x200/0/1631375989845?e=1647691200&v=beta&t=xni6gXL3wy5dIJJrAMJBx8JpZt6KDM9nib9u9e1MbKs
https://www.linkedin.com/groups/2328395
USA JOBS/INTERNSHIPS CLUB
https://static-exp1.licdn.com/sc/h/4h1ldzvvebtszyx75ve7dst1v
https://www.linkedin.com/groups/10385879
Google Data Studio
https://media-exp1.licdn.com/dms/image/C5107AQEtbWe1OKIaqg/group-logo_image-shrink_200x200/0/1631408866964?e=1647691200&v=beta&t=lqD3yLEPsf-k1JJVDHVXskHYbxCB7iDeuX64-nWx-k4
https://www.linkedin.com/groups/13522693
Google Data Studio Q&A
https://media-exp1.licdn.com/dms/image/C4D07AQGnwirJX9R4lA/group-logo_image-shrink_92x92/0/1631000427913?e=1647691200&v=beta&t=ljjW1NokHsacMhDgaQakBQSW7mV2_HXXruByxJQ7XX4
https://www.linkedin.com/groups/8990020
Data Mining, Statistics, Big Data, Data Visualization, AI, Machine Learning, and Data Science
https://media-exp1.licdn.com/dms/image/C4D07AQHC5_oHcJZLpw/group-logo_image-shrink_92x92/0/1525133044361?e=1647691200&v=beta&t=4c3uIC2OOG1dzRQoAzGxFGo6Tn40MVxi9XW2sUruUWQ
https://www.linkedin.com/groups/152247
Data Science and Artificial Intelligence
https://static-exp1.licdn.com/sc/h/4h1ldzvvebtszyx75ve7dst1v
https://www.linkedin.com/groups/4488721
Business Strategy & Competitive Strategy Forum
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Data Science Central
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Logistics and Supply Chain professionals
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eCommerce in India
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