Data Science

FENIL DOSHI

*** ******** ******, #*, ****** City, NJ 07302

917-***-**** • *****.*****@********.*** • www.linkedin.com/in/fenil-doshi EDUCATION

COLUMBIA UNIVERSITY: Master’s in Industrial Engineering (concentration: Data Science)

• GPA: 3.82/4.00

• Coursework: Elements of Data Science, Data Analytics using Python, Probability and Statistics, Stochastic Models, Optimization Methods and Models, Demand & Supply Analytics and Business Analytics. New York, NY

Sep ‘16 – Dec ‘17

PANDIT DEENDAYAL PETROLEUM UNIVERSITY: Bachelor’s in Mechanical Engineering

• CGPA: 8.95/10.00 (4th in a class of 120)

• Coursework: Numerical Techniques, Optimization Techniques, Industrial Economics, Production & Operation Management Thermodynamics, Refrigeration & Air Conditioning. Gujarat, India

Jul ‘11 – May ‘15

INTERNSHIP EXPERIENCE

DATA ANALYTICS INTERN

WINCO/ DWL INDUSTRIES CO.

• Processed historical demand data to recognize patterns, estimate demand and simulate reordering strategies to maximize order-fulfillment rate with minimal overstocking of inventory.

• Designed a forecasting model to compute optimal order quantities for every reordering cycle.

• Developed an inventory management system using Python and SQL to efficiently monitor inventory and compute optimal order quantities for every product. Lodi, NJ

May ’17 – Dec’17

DATA ANALYTICS PROJECTS

PREDICTING FRAUDULENT CREDIT CARD TRANSACTIONS USING MACHINE LEARNING COLUMBIA UNIVERSITY

• Utilized classification algorithms to predict the probability of a fraudulent credit card transaction.

• Incorporated over-sampling techniques like Synthetic Minority Over-sampling Technique (SMOTE) and Adaptive Synthetic sampling (ADASYN) to deal with imbalanced classes in the dataset. New York, NY

Oct’17 – Dec’17

OPTIMIZING A BANK’S MARKETING STRATEGY USING MACHINE LEARNING COLUMBIA UNIVERSITY

• Developed a supervised machine learning model in R to predict the probability of a bank’s customers subscribing to a short-term deposit account.

• Constructed an optimization model to maximize the expected profits from short-term deposit accounts based on a customer’s calculated probabilities of subscribing to the account. New York, NY

Mar ’17 – May’17

STOCK PRICE ESTIMATION USING TIME-SERIES DATA ANALYSIS COLUMBIA UNIVERSITY

• Investigated historical financial data by employing data analytics tools like web scraping, data cleaning, natural language processing and data visualization using Python.

• Developed an Application Programming Interface (API) using Flask (Python) that analyzes data and forecasts future stock prices using ARIMA (Autoregressive Integrated Moving Average) models. New York, NY

Oct ’16 – Dec’16

STATISTICAL ANALYSIS OF STOCK PRICES OF PHARMACEUTICAL & HEALTH INSURANCE INDUSTRIES COLUMBIA UNIVERSITY

• Tested the correlation between log-returns on the stock prices of 5 pharmaceutical companies and 5 health insurance companies by using linear regression tools in R.

• Constructed a web application in R to run regression of stock prices over time and display pictorial results. New York, NY

Oct ’16 – Dec’16

RESEARCH PUBLICATION

• Co-authored a research paper titled ‘A comparison of recently developed meta-heuristic optimization methods for improving ride comfort of a biomechanical quarter car model’ which has been published in the journal Multi-disciplinary Sustainable Engineering, Taylor & Francis Group {Chapter 57 (385-390)} http://dx.doi.org/10.1201/b20013-64

Gujarat, India

Nov 2015

SKILLS

COMPUTER Python, R, Java, SQL Server, Tableau, Hadoop, HTML/ CSS, Javascript, AutoCAD, SolidWorks, Matlab LANGUAGE Hindi (fluent), Gujarati (fluent) and Spanish (basic fluency)

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