Senior Data Scientist

Gaurav Singh

*****.******@***.*** *** Garfield Pl, Apt Gr Brooklyn www.linkedin.com/in/gauravrasingh +1-609-***-**** Education and Coursework

• Columbia University, New York City, NY, Dec 2018 Master of Science in Data Science GPA: 3.71/4.00 Relevant Courses: Applied Machine Learning, Computer Systems for DS, Machine Learning, Exploratory Data Analysis and Visualization, Probability Theory, Algorithms for DS, Statistical Inference and Modelling, Personalization Theory and Applications

• Indian Institute of Technology, Bombay, IN, May 2015 Bachelor of Technology in Chemical Engineering with Minor in Systems and Controls Engineering GPA: 7.56/10.00 (First Class) Relevant Courses: Data Analysis and Interpretation, Decision Analysis and Game Theory, Artificial Intelligence, Applied Multivariate Statistics, Matrix Computations, Numerical Analysis Work Experience

DATA SCIENTIST Boston Consulting Group, New York, NY BCG Gamma Data Science Management Consulting Jun ’18-Present

• Developing advanced AI solutions using state of the art technological framework to deploy scalable business-oriented solutions DATA SCIENTIST Boardroom Alpha, New York, NY Start-up Machine Learning Engineer Sep ’18-Dec ‘18

• End to end analytics to fundamentally transforming how public companies and their investors assess the quality of boardroom directors and executives using unstructured text data from SEC filings RESEARCH ASSISTANT Machine Learning Center for Innovative Theory and Empirics Columbia University Oct ’17-Present

• NLP on unstructured course syllabi repository for multi-dimensional measure of the degree to which colleges offer liberal arts education; used Python to automate metadata extraction, document classification, named entity recognition, topical segmentation TEACHING ASSISTANT Data Science with R, Analysis of Algorithms Comp Science Columbia University Sep ’17-May’18

• Hold weekly office hours for lecture content explanation and assignment consultation; evaluate projects and conduct workshops SENIOR DATA SCIENTIST Snapdeal, Gurgaon, IN Leading e-commerce www.snapdeal.com Apr ’17-Aug ‘17 Automated Planning and Buying Management System:

• Built application to minimize stock out losses by automating economic order quantities at re-order points for critical SKUs Discount Optimization:

• Forecasted product sales to maximize margins and optimize temporal discounts using generalized linear models in R and knitr DATA SCIENTIST Snapdeal, Gurgaon, IN Leading e-commerce www.snapdeal.com Jun ’15-Mar ‘17 Snapdeal Do It Yourself:

• Developed an interactive analytics tool, using R Shiny, to weave query text, mine and visualize data to analyse business metrics

• Reduced the turnaround time for taking adhoc data driven business decisions from 48 hours to less than 8 minutes Marketing Mix Model:

• Estimated the efficacy of digital marketing to allocate funds across multiple channels; increment of 1.8x in marketing campaign RoI Market Basket Analysis:

• Developed association rules for product sales affinity to push sales and offer bundled discount using apriori algorithms in R CONSULTANT, DATA SCIENTIST table2insight Web Application to Auto-Detect Patterns May’17-Aug’17

• Developed outlier detection application in R Shiny to render hidden patterns by analyzing all variable combinations in data

• Built in interactive features to answer key business questions by summarizing data; configured AWS Shiny server to host application CO-FOUNDER MIITTI: fragrance of the nation Non-Governmental Organization www.miitti.in May ’14-Aug’17 A step towards overall development of rural India, retaining its culture; leading a team of 100+ volunteers

• Executed Projected Nation [primary education through projector integrated with Raspberry Pi 3 which eliminates the need for a computer] to connect educational stakeholders in India; conceptualized and organized summer camps in remote villages Personal Projects

• Recommendation Engine:[git.io/vFmvp] Used Spark and R to build memory [item, user] and model [factorization, fp- growth] collaborative filter to recommend jokes; built hybrid deep neural net recommender using factorization machines, SVD++ and content based recommenders to predict user probability to repeat music Oct ’17

• Columbia Data Science Hackathon: [git.io/vFmfw] Ranked 2nd among over 80 teams; analyzed fraudulent behavior in Enron emails by Network Based Analysis and NLP using R, Python, Gephi, igraph and gcloud to unearth suspicious activities Sep ‘17

Technologies

Python (Numpy, Pandas, Scikit-Learn, Keras, Tensorflow); R (Shiny, knitr, ggplot2, plotly, data.table); SQL; Spark; Tableau; AWS; Web Analytics (Omniture, Google Analytics); Gephi; Advanced Excel

Contact this candidate