Mar 2023 – Present · 3 yrs 3 mos · Remote

Apr 2022 – Oct 2023 · 1 yr 6 mos · Singapore · Hybrid

• Building and scaling data processes to protect users from bad Ads across Google products.

Jun 2019 – Mar 2022 · 2 yrs 9 mos · Singapore

• Business Experience: Improved Facebook advertiser's business experience and reduced thrash faced by Sales teams due to escalations & appeals, by ideating and engineering a proactive solution end-to-end to catch potentially anomalous enforcement on advertisements & ad-accounts and sending them for re-review. This process overturned ~80% of enqueued enforcement decisions touching $100M+ of Facebook ad revenue in 6 months.
• Analytics Thought-leader: Enabled seamless and self-serve data analytics for internal teams by building a number of data products and knowledge bases - 20+ standard dashboards in a span of 2 years, serving variety of use cases like advertiser integrity metrics, internal tools usage & adoption metrics, goals vs. actual comparison, easy traversal of advertiser taxonomy graph, etc. powered by approximately 1200+ Presto-SQL queries.
• Culture Steward: Consistently championed internal community building by spearheading and initiating multiple activities across Facebook RunClub, organizing & delivering SQL and data trainings, publishing best practices, etc. Mentored 4+ peers in their projects and was awarded the Culture Champion Award in Q2 2021.

Feb 2019 – May 2019 · 3 mos · Mumbai Area, India

• Worked as an Associate in the Research Data Intelligence team of Global Knowledge Network.
• Relevance & Content Engineering: Spearheaded the conceptualization and industrialization of Search Engine on the flagship pre-trade analytics product, which involved Search queries design, technical requirements specification, relevance factors definitions, data ETL, indexing, and enrichment processes. Search types like full-text-search, autocomplete, completion suggesters, etc. were implemented.
• Data Tools Suite: Engineered the enrichment and content structuring of the DataQuery catalogue which covers products across Fixed Income, Economics, and Equity asset classes. Built out a suite of Shiny Apps and Python scripts to assist business desks for reviews, feedback and prototyping.
• Automation: Accelerated day-to-day processes of many Analysts by contributing to automation projects like News Aggregator tool, tweets extraction, and reports automation saving 4,000 hours of their time annually. Single-handedly set up, hired and mentored a team of 5 to further take forward such initiatives.
• Performance: Consistently recognized with outstanding feedback in annual performance appraisals earning the organization's highest rating. Recipient of JP Morgan Impact awards 2019 for driving Process Excellence by enhancing efficiency of processes by simplification and automation.

Nov 2016 – Jan 2019 · 2 yrs 2 mos · Mumbai Area, India

Jul 2016 – Sep 2016 · 2 mos

• Developed a custom ingestion script on Python as a functionality to Flipkart Data Platform to ingest data into it serving multiple use cases. Also set up a script for automated daily mailers on data flow status for a list of fact tables.
• Automated the Commerce Platform Profit & Loss Statement pipeline collating the data from different sources with DQ checks and properly scheduled refreshes, resulting in reduced latency, reliable and high-quality and faster access to data.
• Automated the Commerce Platform L0/L1 metrics ensuring data quality and proper refreshes. Explored and implemented advanced aggregation techniques such as cube, grouping sets in Hive.

Jun 2015 – Jun 2016 · 1 yr

Jan 2016 – May 2016 · 4 mos · Bengaluru Area, India

• Dezyre.com is an Online Academy that provides job relevant certification courses through the internet.
• Writing tutorials in the domain of Big Data. Completed and published tutorials on Python, Neural Networks, Principal Component Analysis and Apache Spark.

Sep 2014 – Dec 2014 · 3 mos · Guwahati Area, India

• Member of the founding team of EasyPick, a simple and trustworthy, hyper-local pick-up and delivery service, that also connects the residents to vendors in the city for all their needs. The motivation behind this was to save the valuable time and efforts of the residents of IIT Guwahati Campus by providing logistics for their day-to-day needs from the city and also connecting the same to trusted and reliable vendors across many verticals.
• Identified pain points & user requirements, proposed and discussed business model to cater to wider audience.

May 2014 – Jul 2014 · 2 mos · Mumbai Area, India

• Worked on a Data Mining problem to predict the correct combination of insurance options bought by a customer taking in the customer characteristics and quote history as the predictors. Approaches include data Understanding, cleaning and modelling using Machine Learning techniques.
• Used R extensively to perform Clustering Analysis, predicted association rules among features and for data extraction and cleaning assignments on ongoing projects of the company.
• Conducted Market Research on customer persistency for a life insurance company which helped in getting more clients in the domain.
• Actively involved in business understanding process for a life insurance client involving the study of the life cycle of consumer application process for the same which was the first stage of the customer churn modelling project.
• Report on the data mining project can be found out at:
• https://www.dropbox.com/s/n2b2vn9mchkedju/Kaggle_AllState.html?dl=0

Aug 2007 – Jul 2013 · 5 yrs 11 mos · Guwahati Area, India

• Co-founded Himanshu Travels, a travel agency based out of Guwahati with my father and was responsible for Business Developments and Partnerships. I also took care of Accounts using Tally accounting software.