Aalap Doshi
Data analyst II at F5 Networks
Data Analyst II at F5 networks
MS Information System Santa Clara University graduate student graduating in December 2018. Enthusiastically open to full-time job/internship opportunities in the field of Data Analytics/Scientist field.
An analytical thinker with precise and efficient communication skills. Strengths include team-work, leadership as well as collaboration and innovative thinking. Detail oriented student deeply interested in driving business-oriented data-driven insights from huge chunks of data.

Data Analytics Skills:
Programming Languages - R, Python
Tools - Tableau,MS SQL, Visio 2016, Excel 2016 
Analytic Solver, Google Analytics
Key knowledge - Descriptive and inferential statistics, probability and probability distributions, sampling distributions, hypothesis testing, linear regression, logistic regression, decision trees, time series forecasting, text mining, KNN, naïve Bayes, SVM, random forests, clustering, market basket analysis, sentiment analysis, pivot tables, ER Modeling, SQL, sensitivity analysis, storytelling techniques

Project Management Skills:
Tools - MS Project 2016, MS access, MS Excel
Key knowledge - Project management process groups, priority matrix, RACI matrix, gantt chart, earned value Management, qualitative and quantitative risk analysis
F5 Networks
https://www.linkedin.com/company/f5
Demonstrated accountability for key aspects of an SQL database environment (performance, availability, compliance, architecture).

Further define, appropriate metrics for monitoring the software development lifecycle and product quality as it applies to product software including designing KPI, Scorecards, and Dashboards

Leverage dashboarding tools like tableau to represent KPI's which drive to improve customer response and help prioritize service requests of customers

Perform in a fast pace environment to deliver daily/weekly projects from defining the hypothesis, getting the required data, doing exploratory analysis and then represent that data to be consumed by stakeholders.
Greater Seattle Area
https://media-exp1.licdn.com/dms/image/C4D0BAQGNf9LDytWnoA/company-logo_100_100/0/1519856507374?e=1655942400&v=beta&t=jn6Jf6GJwKF4509xEpYY0oRY_mOXNdQUDLeqB_6V584
Data analyst II
Moreland School District Ofc
https://www.linkedin.com/company/moreland-school-district-ofc
	Provide input concerning the development and modification of computer systems and databases using ETL and complex SQL queries to meet the data collection, analysis, reporting needs of the district and reducing the reporting time by 10%  
	Collaborate with Tech Dept. staff, agencies and vendors in the collection, extraction, processing, analysis and submission of data with the help of querying with SQL and visualize with Tableau to increase vendor usage efficiency by 8%
Data Systems Analyst
GE Digital
https://www.linkedin.com/company/ge-digital
	Working with 1.5 million data points of over 30k employees to perform data exploratory, predictive modeling, regression analysis, performing people analytics using correlations to ensure company improves workforce talent by 10% yearly
	Collaborating with cross-functional teams, analyzing complex business problems that lead to commercial insights through Tableau data visualizations and dashboards for Operational data sets involving categorical data
	Collect data from multiple structured SQL/unstructured sources, developing Python scripts for extracting, cleaning, transforming with feature engineering for identifying trends in historical time series data to understand Key metrics 
	Building data models, conducting statistical analysis by performing data checks with T tests, hypothesis testing, A/B tests, Multivariate tests with understanding variance, standard deviation using R statistical packages
San Ramon
https://media-exp1.licdn.com/dms/image/C560BAQF-TuLX8jp3zA/company-logo_100_100/0/1594401559622?e=1655942400&v=beta&t=w2JWk6D6-Mwg-5t2pX7O88d58XZgFm0SXP2BOFJOA1U
Data Scientist(People Insights Analyst)
SculptSoft
https://www.linkedin.com/company/sculptsoft
Comprehended, extracted and massaged information from multi-terabyte data sources like sales, marketing, finance databases with the help of ETL tool like Pentaho and providing deep dive analysis by storing it into SQL
Develop data visualization to empower company employees with data insights like funnel analytics, customer segmentation and target achieving through Tableau dashboards
Ahmedabad Area, India
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Business Intelligence Analyst
Master's degree
Management Information Systems, General
https://media-exp1.licdn.com/dms/image/C560BAQEY5Yl-l-Ubug/company-logo_100_100/0/1619076092794?e=1655942400&v=beta&t=Ua3llofqubt_jaNwyxXn4k6HJTzi832ag17zPll3kvQ
Santa Clara University
https://www.linkedin.com/school/santa-clara-university/
https://media-exp1.licdn.com/dms/image/C560BAQEfcBRyUYaTOw/company-logo_100_100/0/1555606272087?e=1655942400&v=beta&t=iI71vP_frdSxlcH8jYJpxvucEMdetAQTjJCsDWkSK8U
Santa Clara University - Leavey School of Business
https://www.linkedin.com/school/santa-clara-university-leavey-school-of-business/
Building and Leading high performance team
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Information Strategy and Policy management
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Big Data and Modeling
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Business of Cloud Computing
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Computer Based decision modeling
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Dashboards and Vizualizations
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Data Science and Analysis with python
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Database Management Systems
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Information Systems Analysis and Design
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Software Project Management
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Used CAP curve analysis to understand the churn rate of customers for a bank data set by implementing a Logistic regression algorithm using backward elimination of features and validated the model using the coefficients and P values

Leveraged Python ScikitLearn Library to do regression modeling to predict the churn rates for customers to help the bank serve in a better way.

Improved Model by backward elimination,  Maintained model by understanding and controlling P-values, R-squared values and Coefficients
Churn Modeling with CAP analysis
https://github.com/adoshi123/Data-Science/tree/master/Churn%20Modeling%20using%20CAP%20analysis
We have known for long about the Titanic incident and how did it sink its first voyege to US during its journey. Here is the data set about every passenger on the titanic with its class, sex, whether survived or not etc. We will work with the data set to find some findings and find what would is the survival rate of the passenger who were already on titanic. I also implemented a Data Science algorithm to predict that if a person gets on titanic whether he/she would have survived that fatal incident or not using R
Titanic Analysis
https://github.com/adoshi123/Data-Science/tree/master/Titanic%20R
Working with different ML algorithms in python using scikitlearn to create models to calculate probability of couples getting divorced using supervised learning and calculating accuracy over each of them and implementing the best
Divorce probability Prediction
Used a kaggle data set for FIFA players to work with their stats to predict what position is better to play for a football player in a team.
Predicting Football positions using Data Science
https://github.com/adoshi123/Data-Science/tree/master/Prediction%20of%20Football%20Position
Leveraged Amazon Machine learning to predict whether a diabetic patient will be readmitted again within next 30 days once he has been released from the hospital using various features. Assisted with Amazon Redshift to upload and maintain data and store the final results in Amazon S3 bucket.
Prediction of re-entrance of a diabetic patient in 30 days
Designed and normalized Microsoft SQL database implemented with a front end to act as a one stop destination for community to perform various functions simultaneously while conducting a feasibility study of it 
Physically stored data into tables, formatted entity relationships, built complex queries, set up triggers and created stored procedures to gain analytical insights to help business decisions
Community Management Systems
Developed android app to search for handymen based on multiple factors to decrease their search time by 20%.
Repair It
Mood Music Player
Trying to understand the dependent variable with various independent variables using A/B tests in python and confirming their significance using Chi-squared test.
Churn-Rate A/B testing using Tableau
https://github.com/adoshi123/Dashboards-and-Visualizations/tree/master/Churn%20Rate%20A-B%20testing
Worked on Bankai aircraft case to apply optimization of problems using different Excel tools like pivot tables, managing employee work-flow for month over month to maximize production and profit by minimum of 10% 
Worked on predicting xerox printing machine case to predict whether a product will go successful or not using decision tree considering all the development costs with the market to go price
Decision Tree modeling and Monthly Management of workflow
Worked with tableau to understand each teams sales target and do they achieve it or not using calculated fields and concept of Dual Axis within a same sheet.
Do Teams meet their sales target or not
https://github.com/adoshi123/Dashboards-and-Visualizations/tree/master/Do%20each%20team%20their%20targets
Key Learning: Data Flow Analysis, Requirement Gathering                                 	      		             Jan’17 - Mar’17
Designed a voice controlled system to manage everyday household chores using rapid prototyping Software Development Life Cycle amplifying user efficiency
Documented business needs, business requirements, feasibility analysis, use cases and data flow diagram and translated user requirements into technical specifications
Home Management systems
Researched and analysed about Intel’s current strategy, market analysis and discussed its implications over a paper further to understand future market strategy for same 
Conducted a Porter’s 5 force model, Dimension Modeling, SWOT analysis and Risk Analysis for NVMe products
Intel NVMe Product Analysis
Here is an interesting data set from a startup- You sleep we wash. They want to really know how their investments are performing in the new cities within united states on basis of spending and revenue. 
Used the concepts of clustering to identify any patterns in their investments and revenues using tableau.
Added to that, used trend-lines to actually suggest some places to invest in near time to continue their growth in the business.
Where should  the start- up invest
Worked with various python libraries to predict the divorce probability of the person using feature engineering and Decision variables. 

Worked with the different concepts like categorical variables, Collinearity matrix, and implementing using Decision tress and logistic regression.
Will you get divorced or not
https://github.com/adoshi123/Data-Science/tree/master/Will%20you%20get%20divroced
Coursera Course Certificates
www.coursera.org
3H3JYMUK9TYK
Data Exploratory Analysis with R
https://www.coursera.org/account/accomplishments/verify/3H3JYMUK9TYK
Coursera Course Certificates
www.coursera.org
JAYUJKW48VG4
Getting and Cleaning Data in R
https://www.coursera.org/account/accomplishments/verify/JAYUJKW48VG4
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www.coursera.org
EHLP62JCKBVR
R Programming
https://www.coursera.org/account/accomplishments/verify/EHLP62JCKBVR
Udemy
UC-2P123SRF
Tableau A-Z: Hands on tableau
Udemy
UC-1DJ64NUG
Data Science A-Z: Real Life Data Science
https://www.linkedin.com/in/prady-manepalli-912bb3b4
Seattle, WA
Prady Manepalli
Data Analyst at F5 Networks
https://www.linkedin.com/in/purvathakkar
Greater Boston
Purva Thakkar
Software Engineer at F5 Networks, Inc.
https://www.linkedin.com/in/dineshmalhotra
Greater Seattle Area
Dinesh Malhotra
Sr. Director Of Engineering at F5
https://www.linkedin.com/in/abhishek-jadav-3040a59b
United States
Abhishek Jadav
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https://www.linkedin.com/in/hardik-dhameliya
San Francisco Bay Area
Hardik Dhameliya
Software Engineer at Gigamon
https://www.linkedin.com/in/erikiolivar
Fremont, CA
Erik Olivar
Process Engineer at CAES
https://www.linkedin.com/in/balajisai16
Santa Clara, CA
Balaji Sai Perlakota
Backend Software Engineer at DoorDash
https://www.linkedin.com/in/agarwal-chirag
San Francisco, CA
Chirag Agarwal
Software Engineer II - Navis
https://www.linkedin.com/in/grismpatel
Seattle, WA
Grism Patel
Software Engineer at Amazon
https://www.linkedin.com/in/shalinimjain
Mountain View, CA
Shalini Mukeshkumar Jain
Software Engineer II at Intuit | vGHC 2020
https://www.linkedin.com/in/anujyshah
Santa Clara, CA
Anuj Shah
Software Engineer
https://www.linkedin.com/in/liuvincents
Santa Clara, CA
Vincent Liu
Software Engineer at Google
https://in.linkedin.com/in/unnati-marwah-7377596b
Ahmedabad
Unnati Marwah
Project Consultant at The Intellify
https://www.linkedin.com/in/harshita-asnani
Syracuse, NY
Harshita Asnani
Applied Scientist @ Amazon
https://www.linkedin.com/in/pratitigshah
Long Beach, CA
Pratiti Shah, MBA
Manager, Marketing & Business Analytics at Wella Company
https://www.linkedin.com/in/jeremy-conner-b627394
Greater Seattle Area
Jeremy Conner
Sr Director of Engineering
https://www.linkedin.com/in/nikitabothara
Fremont, CA
Nikita Bothara
Data Analyst at Google
https://www.linkedin.com/in/sowmya-thati-3307768b
Nashville, TN
Sowmya Thati
BI/Data Analyst at Asurion
https://www.linkedin.com/in/sohamshelat
Chicago, IL
Soham Shelat
Fixed Income Data Analyst at Morningstar
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Neha Goushal is a Business Data Analyst here at Credit Sesame, based out of San Francisco. Since joining our team, Neha's favorite piece of financial…
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Python teaching question: Is it wrong to teach beginners how to set up conda environments? I think this is a really important skill. Yet, I’m…
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Interview questions I have faced till now ...1. write equation for linear regression.2. write equation for logistic regression3. how will You…
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Durham, NC
Aalap Doshi
Automation Engineer I at CertainTeed Saint-Gobain | Masters in Electrical Engineering @ASU | Researcher |
https://in.linkedin.com/in/aalap-doshi-178224111
Ahmedabad
Aalap Doshi
Student at Gandhinagar Institute of technology
https://www.linkedin.com/in/aalap-doshi-00086049
United States
Aalap Doshi
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https://www.linkedin.com/in/aalapdoshi
Ann Arbor, MI
Aalap Doshi
Director of Design & Innovation
Seattle University Projects Day
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