Pranav Gupta
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Big Data | AI/ML | Ad Tech
Grad student at USC majoring in Computer Science. I am keenly interested in creating and developing software that solves real-world problems. Passionate about leveraging data to make efficient decisions by predicting the future. Although most of my work experience revolves around designing data-driven software, I am open and excited to explore other areas as well. Actively looking for full-time job starting June 2020.
University of Southern California
Master of Science - MS, Computer Science
January 1, 2018 – January 1, 2020
Guru Gobind Singh Indraprastha University
Bachelor of Science - BS, Computer Science
January 1, 2014 – January 1, 2018
St. Xavier School - Delhi
High School Certificate, Non-Medical
January 1, 2013 – January 1, 2014
PubMatic
Senior Product Analyst - Monetization
November 1, 2024 – Present
PubMatic
Software Engineer 2 - Big Data
June 1, 2023 – October 1, 2024
PubMatic
Software Engineer - Big Data
February 1, 2021 – June 1, 2023
Insight Data Science
Technical Advisor
November 1, 2020 – February 1, 2021
Insight Data Science
Data Engineering Fellow
June 1, 2020 – February 1, 2021
Koder
Software Engineer Intern
January 1, 2020 – February 1, 2020
Irvine, CA
Activision
Software Engineer Co-op
May 1, 2019 – January 1, 2020
Santa Monica, California
University of Southern California
Course Grader
September 1, 2018 – May 1, 2019
Greater Los Angeles Area
So Delhi
Machine Learning Intern
January 1, 2018 – May 1, 2018
New Delhi
Probus Insurance Broker Limited
Data Science Intern
June 1, 2017 – July 1, 2017
Mumbai, Maharashtra, India
DataScribble
Co-Founder
June 1, 2017 – December 1, 2018
PolicyBoss
Data Analysis Intern
June 1, 2016 – July 1, 2016
Mumbai, India
Charles Book Club
June 1, 2017 – Present
The data set represents information associated with individuals who are members of a book club. This is a model for predicting whether a person will purchase a book about the city of Florence based on past purchases or not. Language used: Python Algorithm used: Logistic Regression Accuracy ~ 92%
Boston Housing Data Set
June 1, 2017 – Present
Solved the problem of predicting the median value of owner occupied houses in the suburbs of Boston. Language used: Python Algorithm used: Random Forests Accuracy ~ 80%
Loan Status Prediction
June 1, 2017 – Present
Making a predictive model to automate the loan eligibility process in real time based on customer details provided while filling online application form. Algorithm used: RandomForest Accuracy ~82%
Stocks Price Prediction
June 1, 2017 – Present
Predicting the Stock Prices of Tesla Motors Stock Price data of 5 years used to predict next month prices. Language used: Python Algorithm used: Random Forests Accuracy ~95%
Kaggle Titanic Problem
June 1, 2017 – Present
Simple implementation of Random Forest algorithm using ScikitLearn in Python, rendering a score of 0.75120 on Kaggle.
Mining and Analysis of Insurance Policies Customer Database
June 1, 2016 – July 1, 2016
Mining and Analysis of Insurance Policies Customer Database- Landmark Insurance Brokers Pvt Ltd This is a Data Mining and Analysis project. Technology used: MS-Excel
Cultural Fit Analysis
The candidate has a strong background in data science and machine learning, with experience in both corporate and startup environments. Their involvement in a data science blog and conducting sessions indicates a passion for the field and a potential for knowledge sharing. However, the recent role as 'Senior Product Analyst - Monetization' and previous 'Software Engineer - Big Data' roles, while data-intensive, might indicate a slight shift from a pure Data Analyst focus, requiring clarification on their current career aspirations. The project diversity is good, but the target role 'Data Analyst' might be a slight step back from their 'Software Engineer 2 - Big Data' role, which could impact long-term cultural fit if not aligned with growth opportunities.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder and Technical Advisor suggests leadership, communication, and problem-solving skills. Their work on various projects with reported accuracy improvements indicates a results-oriented approach. The diverse project portfolio also points to adaptability and a willingness to tackle different types of data challenges.