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Poorvi Bhargava

Graduate Course Assistant

Software Engineer - Recommendations at Pinterest

San Francisco Bay Area

Section title

Poorvi Bhargava's Email Addresses & Phone Numbers

Poorvi Bhargava's Work Experience

Stanford University

Graduate Course Assistant

September 2017 to December 2017


Machine Learning Intern

June 2017 to September 2017

San Francisco Bay Area

Stanford University

Graduate Course Assistant

September 2016 to December 2016

Stanford, CA

Poorvi Bhargava's Education

Stanford University

Master of Science (MS), Computational and Mathematical Engineering

2016 to 2018

The University of Texas at Austin

Bachelor of Science (BS), Highest Honors, (Computational) Biomedical Engineering

2012 to 2016

Universidad de Cantabria

Study Abroad: Language, Culture, and Engineering

2014 to 2014

About Poorvi Bhargava's Current Company

Stanford University

Course Assistant for CS224w - Social Network Analysis with Professor Jure Leskovec

About Poorvi Bhargava

đź“– Summary

Graduate Course Assistant @ Stanford University Course Assistant for CS224w - Social Network Analysis with Professor Jure Leskovec From September 2017 to December 2017 (4 months) Machine Learning Intern @ Pinterest • Improved Annotations (keywords that describe a Pin) for better search, discovery, and personalized recommendations of Pinterest’s 100+ billion pins to the company’s 200 million monthly active users. In addition, annotations help clients in better ad targeting, improve SEO, and increase CTRs.• Increased English annotations precision from 71% to 79%. The code base is planned to be used as baseline for all other languages.• Conducted training, feature selection, and testing on various models. Also, reworked and restructured final production code for chosen model from Java to Scala.• Experimented with innovative features, including word embedding similarities, search query similarities, graph properties, grammatical characteristics, Wikipedia title similarities, etc. From June 2017 to September 2017 (4 months) San Francisco Bay AreaGraduate Course Assistant @ Stanford University Course Assistant for CME 100 - Vector Calculus for Engineers with Professor Hung Le From September 2016 to December 2016 (4 months) Stanford, CAData Science Intern @ frog Worked on the following projects, all of which involved the use of algorithms, graph databases, Python, NLP, the scientific method and/or visualization:College Recommender• Involved in business development project aiming to showcase Frog data science capabilities• Improved recommendation results through clustering algorithm and NLPClient Project• Design and strategy development for startup client developing app in smart home space• Helped classify target audience through design thinking clustering approach• Identified external data sources and possibilities for application of data science techniques, such as image classification and web scrapingFrog Planner• Created Neo4j graph database POC for new tool to efficiently assign employees to projects and enhance internal networkingData Hackathon• Led office efforts in UN hackathon aiming to clean (latitude/longitude coordinate lookup & currency normalization using Yahoo Finance API) & combine multiple humanitarian datasets into a single visualizationFrogVentures Client Evaluation• Led evaluation of client product via FrogVentures, a program that helps entrepreneurs launch companiesDataLAB Course• Co-taught 6 week data science course to 20+ creatives, strategists, and technologists, to better recognize data opportunities in client projects. Topics included python, statistics, databases, algorithms, & visualization From January 2016 to June 2016 (6 months) Austin, Texas AreaQuality Engineer Intern @ Apollo Endosurgery • Created Design Traceability Matrices for multiple devices to ensure FDA compliance • Performed Risk & Failure analysis using a structured methodology• Gained valuable hands-on experience with Instron, testing strength of medical device materials From January 2015 to May 2015 (5 months) Austin, Texas AreaUndergraduate Researcher @ Brock Breast Cancer Laboratory • Analyzed 35,000+ genes via Bioinformatics Clustering Program to extract potentially pivotal genes affecting Breast Cancer onset• Performed siRNA, Biomarker identification, Western Blot Analysis, Live/Dead, Scratch Assays & Immunofluorescence techniques to identify common characteristics of cancer stem cells From January 2013 to May 2014 (1 year 5 months) The University of Texas at AustinMarketing, Quality Assurance & Sales Intern @ Starmount • Researched competitive analysis data using competitor 10-K reports to help identify opportunities for growth for the company • Redesigned data sets for company’s iOS-based software to enhance prototype UI design• Discovered 30+ bugs in 2 days for Quality Assurance Testing Team to meet release date• Learnt how to utilize tools such as Google Analytics, Jira, and Salesforce in order to help create a method for tracking company long-term growth metrics and documentation• Published blog posts & tweets for promotion at critical networking events From July 2012 to August 2013 (1 year 2 months) Austin, Texas AreaSr. Analyst Intern - Business Intelligence & Advanced Analytics @ Dell • Developed Survey Analytics & Visual Integration (SAVI) Platform, a data-driven method for analyzing internal client feedback. Conducted entire Analytical Model Development Lifecycle following the Agile methodology, which included: -- Interviewing management in design thinking brainstorming meetings to gather requirements -- Data Collection and Wrangling - data pivoting & null imputation -- Clustering Algorithm modification in R to fit survey data -- Text/Sentiment Analytics to quickly understand Natural Language, Open-Ended Text Responses -- Story Telling through Tableau Drill-Down Visualizations and Storyboards• Owned and Managed Text/Sentiment Analytics Intake Project resulting in an estimated cost savings of $500k+ • Presentation to executives led to execution of SAVI for entire Information Capital and Data Science Organization in

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Frequently Asked Questions about Poorvi Bhargava

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Poorvi Bhargava works for Stanford University

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Poorvi Bhargava is Graduate Course Assistant

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Poorvi Bhargava's colleagues are Rundong Liu, Noah Spurrier, Adish Abnave, Rico Yao, Sam CA, Jun Liu, Sangmin Shin, Emma Catlin, Micheal B., and Oskar Zhang

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Poorvi Bhargava's Personality Type

Extraversion (E), Intuition (N), Feeling (F), Judging (J)

Average Tenure

0 year(s), 7 month(s)

Poorvi Bhargava's Willingness to Change Jobs



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