Rajan Mehta

551-***-**** ac8von@r.postjobfree.com GitHub: RajanMehta LinkedIn

Resourceful and adaptable data science enthusiast with excellent analytical and problem-solving skills having 3 years of experience working in a fast-paced, deadline-oriented collaborative environment. Education

University of Connecticut School of Business, Hartford, CT May 2019 MS in Business Analytics and Project Management Current GPA: 3.8/4.0 School of Engineering and Applied Science, Ahmedabad, India May 2016 Bachelor of Information and Communication Technology GPA: 3.3/4.0 Experience

Goldenson Centre for Actuarial Research – University of Connecticut Apr 2018 – Present Graduate Research Assistant Tableau, SQL, PHP

• Understand prior research and develop an actuarial model to predict healthy life expectancy of individual based on 28 user profile variables. Design and Implement MySQL database to hold user profile, survey and result data

• Build interactive website for daily users to score individual well-being based on reported lifestyle parameters Accion Labs, Mumbai, India Jun 2016 – Nov 2017

Software Developer - Data Python, Angular, MongoDB, Elasticsearch, SQL, D3.js

• Applied data cleansing, data manipulation and multivariate analysis on large structured and unstructured data sets Researched and developed data-driven dashboards in browser-friendly formats

• Conducted data wrangling, text data mining, RESTful API development, API integration in front-end

• Collaborated with co-located as well as distributed Agile teams Accion Labs, Mumbai, India Jan 2016 – May 2016

Software Developer - Data Intern Python, Angular, Node, MongoDB, SQL

• Automated Project Health Monitoring System – Extracted, transformed and loaded data from three different project management systems. Built Dashboards for the project managers to monitor the projects’ performance and update their weekly status reports. Saved time worth 1 day per month Extra-Curricular Activities

Vice President – Education, Toastmasters International - UConn School of Business Jun 2018 – Feb 2018

• Guide the new members and the existing members as they work towards achieving their public speaking goals

• Coordinate the club schedule, plan speeches and act as right hand to club president Academic Projects

• Predict Bad Loans: Implemented and fine-tuned Machine Learning models to come up with the best model that predicts loan defaults of the Lending Club

• Reverse Text Search (NLP): Analysed large corpus of text (Reuters Dataset), extracted feature vectors for each document, in order to retrieve articles about similar topic

• Movie Recommendation System: Item-based collaborative filtering implemented with Python and Spark to recommend movies based on user ratings using MovieLens dataset consisting 100,000 ratings from 1000 users.

• Behavioural Risk Factor Surveillance Survey (BRFSS) Analysis: Created data reports by using linear regression and logistic regression models to test hypothesis on BRFSS dataset after complex data transformations.

• Fixed Indexed Annuity Surrender study (Capstone Project): LIMRA provided a real-world dataset of 2M rows and 155 variables. Identified crucial policy features that lead to policy surrender. Gave recommendations based on detailed secondary research. Built model that triggers if a customer might surrender in near future

• Ongoing work: Projects on Deep Learning problems pertaining to Computer Vision (CNN) and NLP (LSTM) Skills

Data Science: Quantitative Analysis, Statistics, Linear Algebra, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Time Series Forecasting, Data mining, Data Visualization, Research Web Technologies: HTML5, CSS3, PHP, JavaScript, AngularJS, NodeJS Tools: Python, NumPy, SciPy, Pandas, NLTK, Sci-kit Learn, Spark, TensorFlow, Keras, R, MySQL, PostgreSQL, NoSQL, MongoDB, Elasticsearch, Tableau, D3.js, OpenCV, Git, Microsoft Excel