S H R E Y A S J A D H A V

**** ********, ***, *** **** City, NY - 10027, US

adbvju@r.postjobfree.com 646-***-**** LinkedIn- shreyasjadhav04 GitHub - https://github.com/shreyasj3006 EDUCATION

Columbia University, New York Aug ’19 - Dec ’20

M.S. in Data Science, GPA : 4.0/4.0

Coursework- Probability and Statistics, Algorithms for Data Science, Exploratory Data Analysis and Visualization, Personalization: Theory and Application, Machine Learning, Computer Systems for Data Science, Statistical Inference and Modelling. Dwarkadas J. Sanghvi College of Engineering, Mumbai Jul ’15 - May ’19 B.E. in Computer Engineering, GPA : 9.53/10 (Top 5% of the graduating class) Coursework- Machine Learning, Artificial Intelligence, Applied Mathematics, Analysis of Algorithms, Database Management Systems, Data Structures, Data Warehousing and Mining.

ACADEMIC PROJECTS

Data Science Institute Student Survey Analysis Exploratory Data Analysis and Visualization Project Nov ’19 – Dec ‘19

• Performed data collection by means of a questionnaire in order to analyse and study the behavioural patterns of Data Science graduate students at Columbia University based on factors like gender, academic background and prior institution.

• Analyzed how the aforementioned factors influence the students’ domain-areas of interest and post graduate intentions as well as their lookout towards graduate school in terms of work-life balance.

• Explored social interactions among the students using interactive visualization techniques in R. Yelp Recommendation System Personalization: Theory and Application Project Nov ’19 – Dec ‘19

• Built item-based and content-based collaborative filtering system based on Yelp data that suggests new restaurants to users based on the restaurants that the users have rated before and also predict ratings of a user for restaurants they haven’t rated.

• Implemented memory-based system (using KNN), model-based system (using ALS) and content-based systems (Factorization Machine) and calculated the accuracy of the models based on certain evaluations metrics.

• Computed the coverage in terms of users and restaurants to check how much of our dataset the model predictions cover. Exploring Financial Models Exploratory Data Analysis and Visualization Project Oct ’19 - Oct ’19

• Performed analysis on portfolios of various stocks and maximized rate of return with respect to volatility using Modern Portfolio Theory

(Markowitz Model).

• Analysed and predicted the expected stock return with respect to the market return using the Capital Asset Pricing Model (CAPM). Trajectory Enrichment for Incremental Location Prediction Senior Year Project Jul ’18 - May ’19

• Extracted information for detecting significant locations of user activity by enriching raw trajectories.

• Performed stay points generation, clustering and tagged clusters based on nature of the stay points.

• Analyzed prediction models for prediction of user’s future location and dynamic incremental models to enhance efficiency and data handling.

PROFESSIONAL EXPERIENCE

Indian Institute of Management, Lucknow Jan ’18 - Feb ’18 Data Analytics Intern (Remote)

• Developed programs in R involving concepts of statistics and econometrics.

• Performed analytics and visualization on data based on business case studies published by Harvard Business Review.

• Implemented a capstone project analyzing the factors that affect the income levels of U.S residents. PredCred Infotainment Pvt. Ltd., Mumbai Jan ’17 - Apr ’17 Business Development Intern

• Performed data analysis on user data with the data analytics team to find out relevant factors that lead to an increase in customer engagement and market effectiveness.

• Conceptualized ideas for advertisements for Digital Marketing campaigns to boost client interaction with the application.

• Secured affiliations with companies, got their products listed on the application and managed on-ground promotional events. SKILLS AND INTERESTS

Certifications: Global certification for Base SAS Programming, Udemy: 1. Quantitative Finance and Algorithmic Trading in Python, DataCamp: 1. Intermediate Python for Data Science 2. Python Data Science Toolbox (Part 1 & Part 2) Programming languages: C, Python, R, SAS, SQL, JavaScript(D3) Hobbies: Watching soccer games, swimming, exploring different cuisines, playing poker

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