Akshay Ankush Kapare
********@**.*** 617-***-**** LinkedIn GitHub 120 Glenville Ave Apt 11 Allston MA USA EDUCATION
Boston University Sept 2019 – Jan 2021
Master of Science in Computer Information System (CGPA: 3.74/4.00) Relevant coursework: Data Analysis and Visualization with R, Advanced Database Management System, Design and Implementation of Datawarehouse, Data Science with python, Machine Learning, Data Mining K.J. Somaiya College of Engineering July 2013 – May 2017 Bachelor of Engineering in Electronics (CGPA:3.55/4.00) PROFESSIONAL EXPERIENCE
L&T Technology services, Navi Mumbai, India Oct 2017 – June 2019 Automation Engineer
• Developed automation test scripts for automotive infotainment system which helps to reduce manual work load by 40%
• Automated test result addition on Confluence page using python which reduces manual task of test case addition by 47%
• Developed 500+ test cases based on the requirement of client which results in increment of bugs count by 35%
• Performed functional testing, integration testing, regression testing, performance testing, and UI testing on MGU to report bugs to the client
Office of Online Distance Education, Boston University, USA Jan 2020 – Dec 2020 Web Assistant
• Design and style responsive web page layouts on desktop
• Work with web team to coordinate updates, enhancements and maintenance for the sites ACADEMIC PROJECTS
Analysis on Cricket (IPL) Dataset Sept 2020 – Dec 2020
• Extracted data in various formats, Transformed and loaded the data in to SQL server using Python
• Design and Implemented a Star Schema model to retrieve information about the game
• Built a module using SQL queries to derive various parameters that determine the outcome, by analyzing data stored in the Database
• Developed an interactive dashboard using Power BI and Tableau to analyze weather and Match data FIFA-18 -Predict Player’s Positions Jan 2020 – May 2020
• Trained a Logistic Regression, Random Forest and Neural Network model to predict football players positions
• Used dimension reduction techniques (PCA and LDA) to improve the model performance Real estate application using Django framework & PostgreSQL Jan 2020 – May2020
• Built and deployed a web application to host a custom-built Real estate application.
• Customer-facing dashboard where users can register an account and inquire for property
• Implemented search features on the property which makes it easier for users to filter listings
• Company-facing dashboard to add new listings and realtor information. Car Rental System using Python Sept 2019 – Dec 2019
• Developed an automated car rental system that allows user to rent cars on hourly, daily or weekly basis from the available inventory
• Generated billing information on car return which will direct to the PayPal for payments
• Designed and developed using principles of object-oriented programming TECHNICAL SKILLS
• Programming Languages: Python, R, SQL, JavaScript, HTML, CSS,
• Frameworks/Libraries: Scikit-Learn, TensorFlow, Keras, NumPy, Django, TAF IDE
• Data Visualization: Tableau, Power BI, Weka, JMP
• Database: SQL server, MongoDB, Oracle
• Tools: JIRA, Confluence, MS Excel, MS Office, Wire Shark, Selenium, Git, HP ALM, SAS
• Operating Systems: Windows, Linux, MacOS
• Certifications: Python Django Dev To Deployment, Object Oriented Programming in Python