YASH GARG

Engineering Analyst @ Google | Trust & Safety

alex-vidal

Skills

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SQL

Python

Looker Studio

Machine Learning

Excel/Sheets

Tableau, Power BI

HTML, CSS, JS

Flutter

Firebase

Education

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Amity University

B.Tech
2018 - 2022
Computer Science & Engineering
CGPA - 8.27

Birkbeck, University of London

Student Abroad Program
2019
Computer Science & Engineering
CGPA - 8.0

Resume

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  • Work Experience

  • Dec 2024 - Present

    Google

    Engineering Analyst

    • Trust & Safety - Payments

  • Feb 2023 - Nov 2024

    Data Analytics Apprentice

    • Enhanced Discover proactive pipeline, optimizing workflow by 36%, and clickbait pipeline runtime by 58%.
    • Managed the Publisher Appeals workflow, serving as the primary POC for a vendor team of 15 reviewers.
    • Implemented a dashboard to facilitate election reporting, resulting in a 50% reduction in reporting time.
    • Developed an actor-based pipeline, averting ~6.3 million views in 30 days.
    • Identified transparency issues in TVC review, resulting in training of 20+ vendors on policies.
    • Created 25+ LLMs for Discover abuse pipelines like Clickbait, Misleading etc. with ~90% avg precision. At full scale, this can save up to 50% manual reviews operation expenses.


  • 2021 - 2022

    Skuad

    Data Analyst Intern

    • Implementing and maintaining multiple metrics, dashboards using Google Sheets and other Data Visualization tools.
    • Analyzing complex datasets with 1000+ rows using SQL and monitoring the established data pipeline on Airtable.
    • Work with the Management team to understand business requirements.


  • Courses & Certifications

  • December 2021

    Coursera: UC Davis

    SQL for Data Science

    Online non-credit course offered for SQL.


    Course Certificate

  • December 2021

    Google Developer Student Clubs

    Google Cloud Program 2021

    Online non-credit course authorized by Google and QwikLabs.


    Course Certificate

  • July 2020

    DataCamp

    Data Scientist with Python Track

    Online non-credit course covering every aspect of Data Science using different python libraries.


    Course Certificate

Projects and Publications

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Predicting Bridge Damage During Earthquake Using Machine Learning Algorithms

Presented and published in the proceedings of Confluence 2021 (IEEE Xplore).

Thermal and Hydro Energy Generation Predictive Analysis

Published in the International Journal of Artificial & Computational Intelligence.

Pink+

1st place at McKesson Corporation and Girls in Tech Virtual Hackathon 2020.

mooody

1st place in Best in App Development Track at Hacking 4 Community Virtual Hackathon 2021.

Minority Report

3rd place Overall at Data Day Grind 2.0 sponsored by Major League Hacking.

planto

Presented at HopHacks Fall 2021

Flora

Developed as part of the internship program at SashiDo.

Flight Management System

Developed and presented as part of the bachelor’s course (Advanced Java Programming IT404).

App Board

Presented at Carolina Data Challenge 2021 organized by University of North Carolina

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