DEEPAK GAUTAM DATA SCIENTIST! deepakgautam123@gmail.com " deepakgautamblog.wordpress.com/blog # 862-485-6817 $ San Mateo, CA% james-deepak & jamesdeepak

ExperienceMetis San Francisco, CAData Scientist / Data Science Fellow Jul 2016 to CurrentWorked with fellow Data Scientists in a comprehensive and immersive 12 week Data Scienceprogram that covered topics in Data Acquisition, Data Exploration, Data Munging, DataManipulation, Statistical Modeling, Machine Learning, Programming, Data Visualization,Communication and Project Design.

DialAmerica Marketing Inc. Mahwah, NJDatabase Coordinator / Developer Nov 2010 to Jul 2014

Performed complex data analysis on company’s data using SQL and solved problemsusing well-de!ned algorithms.Involved in evaluation, data cleaning, data enrichment and reprogramming process ofthe company’s Quality Assurance (QA) system.Built statistical forecasts and models for e"cient workforce allocation andrecommended strategies to improve e"ciency.Presented oral/written reports in weekly meetings with Vice Presidents and theCorporate Development Team.Designed, programmed and monitored Learning Management System (LMS) for thecompany and used simple predictive analysis techniques to forecast an agent’s success. Prepared dynamic reports using ASP.Net to substantially improve and reduce number ofreports being used in older systems.

University of North Carolina Chapel Hill - Department of Economics Chapel Hill, NCGraduate Head Teaching Assistant Aug 2014 to May 2016

Instructed weekly sessions for 90 undergraduate students enrolled in economicsclasses; determined focus areas, created notes, and exercises to supplementunderstanding of class lectures in addition to grading homework and exams.

ProjectsSentonomics: Sentiment Analysis in a Soccer Match using NLP

Collected Twitter data using Twitter Streaming API for Premier League games in UKPerformed sentiment analysis for each tweet using VADERVisualized fan sentiment changes during the game along with important game events

Pivot: Change the Way You See CompaniesGathered companies data from various sources - Glassdoor, CrunchBase, Wikipedia andAngel ListBuilt a Multi-Class Classi!cation models such as Logistic, K-nearest Neighbors, GausianNaive Bayes, Decision Tree, Random Forest and XGBoostPredicted a company's potential success based on the data collected

Project Mon-juring: Revenues with Horror MoviesWeb scraped 14000+ movies data from BoxO"ceMojo using BeautifulSoup Identi!ed impact of relevant features on movie successBuilt a regression model to predict revenues especially in the horror genre

Manhattan Mornings with Blue Bottle CoffeeAnalyzed NYC MTA subway stations data to identify stations and neighborhoods withthe highest foot tra"c during morning hoursRecommended possible new co#ee shops and mobile co#ee carts locations where theBlue Bottle Co#ee currently does not have any presence

SummaryData scientist with an advanced degree ineconomics, and a strong background inmathematics and programming.

EducationUNIVERSITY OF NORTH CAROLINA AT CHAPEL HILLM.S. Economics 2016Thesis: US Housing Price Analysis

CALDWELL UNIVERSITYB.A. Mathematics 2010GPA 3.90/4.0, summa cum laude

WRANGLING: SQL, Python, BeautifulSoup,Pandas, MongoDB

STATISTICS: Python, Matlab, Stata

MACHINE LEARNING: scikit-learn, statsmodels,Natural Language Processing (NLP)

PRESENTATION: matplotlib, ggplot, seaborn,Powerpoint, D3

OTHER: Visual Basic, ASP.NET, HTML,Javascript, CSS, LaTeX,Amazon Web Services (AWS), Hadoop, Spark

PROJECT MANAGEMENT: Github

Skills

AwardsUNC - Chapel Hill · Weiss Urban Livability Fellowship 2014

Caldwell University · Departmental Honors in Mathematics 2010

Caldwell University · Beyond the Call Outstanding MembershipAward

2009

Caldwell University · Presidential Scholarship

2007