DIBYENDU ROY CHOWDHURY

adcl1d@r.postjobfree.com 434-***-****

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EDUCATION

University of Virginia School of Data Science Expected May 2020 Master of Science, Data Science 3.70 GPA

Relevant Coursework: Linear Models, Programming & Systems for Data Science, Data Mining, Algorithmic Design, Machine Learning (Bayesian Models), Exploratory Text Analytics, Machine Learning (Deep Learning) Sikkim Manipal University Feb 2012-Aug 2015

Bachelor of Arts, Journalism & Mass Communication 3.77 GPA TECHNICAL SKILLS

Languages & Databases: Python, R, SQL

Frameworks: Scikit-learn, TensorFlow, Keras, Pandas, XGBoost, TPOT, SpaCy, Matplotlib, Seaborn, Tableau Machine Learning Algorithms: Linear & Logistic Regression, Naïve Bayes, KNN, K-Means, SVM, PCA, Random Forest, AdaBoost, CNN, LSTM

DATA SCIENCE PROJECTS

Classify Song Genres from Music Data Mar 2020

• Classified streaming data by deploying Logistic Regression, KNN, Random Forest and SVM models from scratch

• Accomplished an 83% accurate model through parameter estimation using Bayesian Search with Cross-Validation

• Winsorized outliers to make sample mean robust and boosted dimensionality reduction and feature engineering process by constructing PCA

Saving Lives: Predicting Blood Donation Feb-Mar 2020

• Engineered a model pipeline by constructing Logistic Regression, KNN, Naïve Bayes, Random Forest and SVM models to predict if a college student will donate blood in a campus blood donation drive

• Achieved 79% accuracy on predicting success through parameter estimation using Grid Search with Cross- Validation

Analyzing Digital Gameplay to Help Build More Effective Educational Tools for Children Nov-Dec 2019

• Charted a 65% accurate SVM model to forecast whether a child will play a game or quit after a certain level

• Devised a unique end-to-end model pipeline to clean and impute missing values through machine learning techniques on a 3.7GB gameplay dataset with more than 11 million rows Stack Overflow User Churn: Finding Out Who’s Jumping the Ship? Jul-Aug 2019

• Constructed a Logistic Regression model to predict if users are likely to leave Stack Overflow permanently

• Attained 70% accuracy in predicting user churn, demonstrated through decreased user activities prior to departure PROFESSIONAL EXPERIENCE

Center for Study of Science, Technology and Policy (CSTEP) Bengaluru, India Communications, Policy & Engagement Lead Sep 2018-Jun 2019

• Counseled a cross-functional team of more than 100 scientists, engineers and leaders of analytic insights to set advocacy, policy and media strategies

• Assisted ‘Artificial Intelligence for Development’ division in communicating its AI toolkit results and impact to policy makers and social entrepreneurs to help garner research funding

• Led a highly talented communications team in assisting a group of more than 90 research staff to tailor research papers, journal articles, policy briefs etc.

Storia Inc. San Francisco, CA (Remote)

Contributor Feb 2017-Feb 2018

• Increased online readership by delivering data- and narrative-driven analysis and features (6-7 a day) extensively on technology, innovation, lifestyle and better living

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