aaroh mathur
Software Development Engineer at Amazon
sde amazon | ml/ai enthusiast
experience machine learning model , data analysis tool technique ( e.g . sklearn , tensorflow , kera ) ; data mining big data analytics technique ; strong programming skill python , r , java , c/c++ , javascript , sql . passionate optimize learning - data relationship make machine “ learn le data ” . interested solve complex real-world problem field deep learning , big data high-performance computing . recent master science computer science graduate concentration artificial intelligence . worked individual study research project , build intelligent batch job scheduler making use deep reinforcement learning technique high-performance computing environment . experience developing full-stack solution ability improve upon existing software . done academic project area deep learning requisite experience reinforcement learning , nlp computer vision . familiar library like tensorflow , kera , gym scikit learn . exploratory analysis data data cleaning also one area worked using library like panda , numpy , seaborn , plotly matplotlib . demonstrated ability improve upon existing software internship project cerner corporation . developed full-stack solution internship defense research development organization ( drdo ) . hands-on experience jupyter ( ipython ) , anaconda , nltk , eclipse ide java ee , netbeans , r studio , android studio , rapidminer , qt , mplab ide , hibernate , tomcat , maven , restful web service , hadoop , node.js , react.js , bootstrap , npm , git , jenkins , crucible . team player passion persistence thrive fast-paced environment . strong communication , problem-solving analytical skill .
Amazon
https://www.linkedin.com/company/amazon
South-Lake Union, Seattle, Washington, United States
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Software Development Engineer
American Tire Distributors
https://www.linkedin.com/company/american-tire-distributors
●	Developing a Decision Engine to aid B2B business for large buyout deals using optimization and machine learning algorithms at scale. Working on Purchase optimization tool using machine learning models.
●	Extract, clean and prepare data for data science model ingestion.

Tech Stack: Python, R, MySQL, BigQuery, GCP, Docker, Bitbucket, Flask
Charlotte, North Carolina Area
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Data Scientist Intern
UNC Charlotte College of Computing and Informatics
https://www.linkedin.com/company/unc-charlotte-college-of-computing-and-informatics
●	Parallel computing course – Tutoring, out of class assistance to students.
●	Assisting in classroom instruction material, assignments and exams
Charlotte, North Carolina Area
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Graduate Teaching Assistant
UNC Charlotte College of Computing and Informatics
https://www.linkedin.com/company/unc-charlotte-college-of-computing-and-informatics
●	Worked on a research project "Intelligent High-Performance System" under the guidance of Prof. Dong Dai.
●	Studying models and developing algorithms to explore the feasibility of leveraging deep reinforcement learning to optimize High Performance Computing (HPC) system and efficiently process massive amount of data.
Charlotte, North Carolina Area
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Research Fellow - Data Intelligence Research Lab,
Cerner Corporation
https://www.linkedin.com/company/cerner-corporation
Developed Full-stack solution for the following projects: 
(1) "Release of Information" web application solution for easy accessibility of Patient Health Information (PHI) based on the authority level. Framework and tools used - Java, Jersey for REST services, Maven and Hibernate.
(2) “Meeting room booking” web application with Node JS.
Bengaluru Area, India
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Software Development Intern
Defence Research and Development Organisation (DRDO)
https://www.linkedin.com/company/defence-research-and-development-organisation-drdo
- Developed a GUI using Qt software for displaying real-time data in the textual and graphical way. The project "MEMS Sensor Data Acquisition using Microcontroller (dsPIC)" involved real-time data acquisition from sensors and processing multiple data stream;
- Implemented a driver code to receive and analyze temperature, accelerometer data from MEMS sensor and for the microcontroller to interface the sensors and other components;
Bengaluru Area, India
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Lab Intern
ASME (The American Society of Mechanical Engineers)
https://www.linkedin.com/company/asme
As Management Committee member provided direction and guidance to the society. Involved in the planning of club events, training, conducting interviews and managing society performance.
Manipal, Mangalore Area, India
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Human Resources Head
ASME (The American Society of Mechanical Engineers)
https://www.linkedin.com/company/asme
Manipal, Mangalore Area, India
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Management Committee Member
Master of Science - MS
CGPA: 4.0 out of 4.0 (till date)
Graduation by Dec 2019
*Concentration: Artificial Intelligence
*Course work: Machine learning, Deep Reinforcement Learning, Intelligent Systems,  Computer Vision, Natural Language Programming, Knowledge Discovery in Databases, Cloud computing for Data Analysis, Algorithm and Data structures, Computer communications and network.
*Capstone project:  To build an intelligent batch job scheduler by making use of Deep Reinforcement Learning techniques in a High-Performance Computing Environment.
Computer Science
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University of North Carolina at Charlotte
https://www.linkedin.com/school/unc-charlotte/
Bachelor of Technology
CGPA: 8.18 out of 10
Relevant course work: Machine learning, Pattern recognition, Web Intelligence, Parallel Programming, Information Retrieval, Big data analytics
Computer and Communication Engineering
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Manipal Institute of Technology
https://www.linkedin.com/school/manipal-institute-of-technology/
As Management Committee member provided direction and guidance to the society. Involved in the planning of club events, training, conducting interviews and managing society performance.
ASME (The American Society of Mechanical Engineers)
Management Committee Member
Taught Python programming language at impoverished schools with a classroom strength of more than 20 students.
Teach Code for Good
Education Volunteer
This study focuses on analyzing the demand for raw material supply for a university dining mess using time series method which falls under the quantitative approach of demand forecasting and gives a detailed step by step process of analysis. This method accurately forecasts the daily demand within a span of four months, thereby eliminating the concern of mess authorities on their budgeting and supply of raw material for university dining mess on a daily basis.
The paper is published in, Journal of Engineering and Applied Sciences, 12: 3102-3107 (DOI: 10.3923/ jeasci.2017.3102.3107); a SCOPUS indexed international journal.
Analysis of Time Series method for Demand Forecasting
Journal of Engineering and Applied Sciences, 12: 3102-3107 (DOI: 10.3923/ jeasci.2017.3102.3107); a SCOPUS indexed international journal.
https://www.medwelljournals.com/abstract/?doi=jeasci.2017.3102.3107
Oracle
Winner of “Oracle Code Innovators Honors” at Reinvent the Wheel Hackathon held by ATD Tires - Mar’19
- The study paper titled "Analysis of Time Series using Demand Forecasting" was selected as the Best Student Paper in Computer Science & Information Technology department for 2017. 
- Awarded "Shravan Kumar Travel Grant - 2017” by Manipal Institute of Technology, to present the paper at International Conference on Innovation Research in Engineering and Science (IRES 2017), Thailand
Manipal Institute of Technology
Best Student Paper in Computer Science & Information Technology department - 2017
Awarded scholarship for securing a position within the top 1% of the school board at class XII level.
Maharashtra State Board of Secondary and Higher Secondary
Inspired Research (INSPIRE) scholarship for higher education by Ministry of Science and Technology, Govt. of India
Algorithm and Data Structures
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Cloud Computing for Data Analysis
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Computer vision
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Deep Reinforcement learning
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Intelligent Systems
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Knowledge discovery in databases
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Machine Learning
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Natural Language Processing
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Parallel computing
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Big Data Analytics
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Information retrieval
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Parallel prgramming
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Pattern recognition
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Web Intelligence
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●	Implemented an NLP pipeline for the approach Aspect Based Opinion Mining to derive some meaningful insights from a large volume of YELP restaurant reviews.
●	Implemented spaCy’s dependency parser to identify opinion words by cross-referencing the opinion lexicon of positive and negative words. 
●	Built a Multi-Label Naive Bayes Model which was fit on the annotated restaurant review training set of size 3066 reviews, had an 86.6% accuracy out-of-sample in the test data.
Aspect Based Opinion Mining (python, Neural Coref v2.0, spaCy, Scikit Multilearn, Word2Vec)
●	Worked with “Invue” to develop a computer vision solution in the field of retail analytics.
●	Developed a FER prototype model to predict correct emotions(7 types of emotions) with an overall accuracy of 76% on testing dataset.
●	FER performance was enhanced based on the coordinates of localized facial landmarks found using Dlib library.
●	An image dataset is being created by mimicking a retail store environment for the model to learn better.
Facial Emotion Recognition in Retail Analytics (python, keras, tensorflow, Dlib)
A full-scale application has been developed to receive and analyze the readings/data from a sensor data acquisition module which includes a temperature and an accelerometer sensor.

The application package includes:
1. The driver code, written in embedded C language for interfacing the important components needed for receiving sensor data.
2. A front end application with a user-friendly GUI displaying all the sensor readings in a textual and graphical way. The front end GUI coding is done in C++ language.

Microprocessor in the module used is of dsPIC33F family which allows various communication mediums like UART, SPI and I2C to interface with the sensors.

Features Implemented
- Implementation of communication protocols UART, SPI, I2C.
- Displaying Sensor data on the Computer System.
- Displaying the real-time sensor data in a graphical form.
- Storing the real-time data in a text file.
- Tracing the real-time movement of the sensor module on the computer system.

Technologies: embedded C, C++, MPLAB, QT, QCustomPlot, Docklight,
Sensor Data Acquisition using Micro-controller - DRDO
●	Time series method using ARIMA model implemented in R was applied to forecast the food demand at student mess with 99.2% accuracy.
●	Dataset consisted of the number of active student in the mess, day wise and meal wise for a period of 4 months
Demand Forecasting using ARIMA model (R)
●	Developed patient registration IT System process and integrated it with the existing IT system for the Yoga Department at Kasturba medical college hospital, Manipal.
Patient registration IT system (php, mysql)
https://github.com/aaroh20/patient-registration-portal
●	Developed an android application to help users in comparing the price deals available on ecommerce websites.
PriceSpy - E commerce comparison android application (Android Studio)
https://github.com/aaroh20/price-spy-androidapp
Developed a windows application on easy Cab booking and management system using DBMS concepts.
Windows application for easy Cab booking and management system
Developed a Maze game using java and OOP's concepts
Maze game development
Education
Teach Code for Good
Taught Python programming language at impoverished schools with a classroom strength of more than 20 students.
Education Volunteer
IEEE
https://www.linkedin.com/company/ieee
Volunteer at IEEE Sixth international Conference on Advances in Computing, Communication and Informatics (ICACCI'17)
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Student Volunteer
Microsoft
https://www.linkedin.com/company/microsoft
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Event Coordinator for Microsoft Code.fun.do Hackathon, Manipal
AngelHack
https://www.linkedin.com/company/angelhack
Event Coordinator for AngelHack, Manipal (Nov'16).
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Event Coordinator
ASME (The American Society of Mechanical Engineers)
https://www.linkedin.com/company/asme
Operations Head for Microsoft Summer Training Programme organized by ASME Manipal Chapter which saw participation of more than 300 students from all over India.
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Operations Head for Microsoft Summer Training Programme
ASME (The American Society of Mechanical Engineers)
https://www.linkedin.com/company/asme
https://media-exp1.licdn.com/dms/image/C510BAQEfboiVP0Rxxw/company-logo_100_100/0/1519938775058?e=1655942400&v=beta&t=e2rbpJNobT-N_UpjJRbs63EiMNDeemQBtTLZhbhh_Vc
Event Head for 3D Printing workshop by Global 3D Labs organized by ASME Manipal Chapter.
Microsoft
https://www.linkedin.com/company/microsoft
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Event Coordinator for Microsoft Code.fun.do Hackathon, Manipal
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Big Data and HADOOP at IIT Mumbai
Intel® AIM Suite
Nervana AI Academic Workshop by Intel
Microsoft
Technical Associate in Cloud Fundamentals,
VMware
Virtualization for Beginners
Salman Y.
      
          



            
              
        
              
  

    
        Aaroh has been instrumental throughout his tenure at ATD. Aaroh’s ability to take challenges & learn new technologies has been exceptional - He has tremendously managed full-time study and work and exceeded expectations. He has a strong foundation in data science and often pitched as a data engineer & front end developer throughout his tenure. 
 Sreekanth Kolamala
      
          



            
              
        
              
  

    
        Aaroh is a wonderful developer to work with. He is dedicated and sincere. Does more than promised. The fact that he was working even on the last day show his commitment. Very quick learner. Good at Node.js, Javascript, Bootstrap. Would love to work with him when the opportunity presents itself. I wish him all the best for his future endeavors.  
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I'm delighted to announce that I'll be interning at Amazon, Greater DC Area, Washington this summer as a Software Developer Engineer. I'd like to…
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Excited to present about my research experiences as part of USIEF's Webinar Series. Looking forward to meeting prospective students.Register at the…
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Hi everyone,I’m excited to share that I will be joining Meta (Facebook) this Summer as a Software Engineer Intern in Menlo Park, CA.I’d like to…
Referral-Lets help each other
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Data Scientists
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