Pranav Gupta 💡 Email & Phone Number

San Jose, Ca, Us

Redwood City, Ca, Us

• Modeled data to predict company revenue with ~92% accuracy.• Developed a POC for enhancing user targeting by performing look-alike modeling on high value users.• Optimized data processing capabilities by implementing cardinality reduction to cut off the long tail in aggregated data• Manage, enhance, and monitor multiple big data pipelines processing petabyte scale data daily.

San Francisco, Ca, Us

San Francisco, Ca, Us

• Migrated multiple databases from ​Azure​ Data Studio to ​AWS​ S3 buckets and queried with Amazon ​Athena​ to provide a unified view of the data for a telehealth startup.• Connected the pipeline with ​Tableau​ server to create dashboards of key operational metrics that are used by company’s business analysts and strategists.

Irvine, California, Us

• Prototyped APIs and web applications utilising Model-View-Controller architecture in ASP.NET.• Established and connected to the backend database on SQL Server.• Tested and validated proper functioning of APIs using Postman.

Santa Monica, California, Us

• Optimized a reinforcement learning model designed to send personalized messages to Call of Duty players achieving 700% more increase in average revenue per user and 2300% more increase in engagement (hours per user) as compared to human-based effortby modelling player data with Monte Carlo Tree Search and Multi-Armed Bandit algorithm in python.• Simulated players’ interaction with messages with accuracy of more than 90% on multiple KPIs by building Random Surfer model, eliminating the need to wait for players to generate data.• Prepared dataset for utilization in statistical modeling for fraud detection by querying, cleaning, and organizing large volumes of data from a Hive data warehouse and examining it to find hidden patterns.

Los Angeles, Ca, Us

Graded homework assignments, exams, and final project for the course INF 510 – Principles of Programming for Data Science under Professor Jeremy Abramson and Professor Yigal Arens.

Delhi, Delhi, In

• Led conceptualization, platform creation, content generation, and marketing of an amateur blog on data science and machine learning garnering over 3000 unique readers per month; authored several articles.• Conducted multiple sessions on introductory data science and machine learning as a guest speaker at premier engineering institutes across India catering to 650 students.

New Delhi, Delhi, In

• Built the core recommendation platform increasing reader engagement (read ratio) by 150% by designing collaborative and content-based recommendation systems using SVD and TF-IDF.• Deployed as a real-time service through Flask connected to MongoDB database.

• Achieved Risk Scoring of customers to predict most lucrative clients to deal with.• Performed data preprocessing, feature engineering, and applied various machine learning algorithms like Random Forests, SVM in Python.

Mumbai, Maharashtra, In

• Collaborated with MIS division for understanding business and discovering insights from company data.• Helped in decision making processes by presenting in-depth reports and visualizations about customer-business relations using MS-Excel.

Master Of Science - Ms, Computer Science

Bachelor Of Science - Bs, Computer Science

High School Certificate, Non-Medical