Apr 2024 – Nov 2024 · 7 mos

• ● Designed & architected processes for capturing, sourcing, processing, organizing, and consuming data within the Chegg Data Ecosystem.
• ● Accelerated Chegg ecosystem by establishing instrumentation playbook, ensuring harmonised and speedy delivery of business features, with clear RACI
• ● Pioneered self-serve analytics tools ecosystem like Amplitude, ContentSquare & Kubit to onboard teams and fostering self-sufficiency on new platforms.
• ● Led the Rio2 migration, by identifying gaps in features to improve user acceptance and drive adoption.
• ● Established Lakehouse data management & governance ecosystem, making data easily discoverable, enabling faster and scalable data-driven decision making
• ● Collaborated with cross-functional teams to standardize business processes
• ● Led the Rio Privacy initiative by designing a comprehensive roadmap & testing plan to ensure compliance with user opt-out preferences, resulting in a successful release

Oct 2022 – Apr 2024 · 1 yr 6 mos

• ● Strengthened Amplitude adoption across all teams and established standard Gold templates
• ● Designed analytics solutions for ensuring adherence to deadlines and managing stakeholders
• ● Onboarded the entire engineering vertical on newly devised validation framework to improve products data quality and achieving ~35% reduction in post-production issues
• ● Led data quality framework for proactive notifications for any data issue, reducing data reprocessing efforts, eliminating ambiguity in leadership report and enhancing data governance (using Databricks, New Relic, Collibra & Amplitude)

Apr 2021 – Sep 2022 · 1 yr 5 mos

• ● Devised strategies to transition data solutions from Adobe to in-house Rio data, analyzing discrepancies between the two data sources
• ● Acted as a critical central bridge for product, analytics and engineering teams for instrumenting key features for new product launches

Apr 2020 – Apr 2021 · 1 yr · Gurgaon, Haryana, India

• ● Extensively worked on Patient Analytics(using EHR and Claims data) and Sales Analytics to generate insights for one of the world's largest biotechnology companies
• ● Worked on regular monthly deliverables and adhoc requests for leading drugs of the client and its competitors using ETL processes
• ● Automated the codes using Python (Numpy, Pandas) and SQL
• ● Also worked on migration of codes from SQL to Databricks environment
• ● Designed and developed Tableau dashboards for analysing patient and physician level data

May 2019 – Apr 2020 · 11 mos · Gurgaon, Haryana, India

Nov 2018 – Apr 2019 · 5 mos

• ● Worked as a Salesforce Developer (Veeva CRM team) in pharmaceutical industry.
• ● Frequently interacted with the clients to resolve technical issues
• ● Contributed to improving the processes and delivering better value to the customer by developing Apex scripts
• ● Developed templates to provide Data Validation using VBA
• ● Communicated key findings to the team
• Tools/Technology used: Salesforce, Data Loader, Workbench, Apex, Veeva, VBA, Agile Methodology, Waterfall Methodology, Excel

Nov 2017 – Oct 2018 · 11 mos

Sep 2016 – Dec 2016 · 3 mos

• Developed an E-commerce Android Application from scratch with Backendless as the Server.

Aug 2016 – Sep 2016 · 1 mo · New Delhi Area, India

• Designed and developed an android application for the visitors using Google Firebase as the server.

Jul 2016 – Aug 2016 · 1 mo

• Developed an Android Application using Google Firebase from scratch.

Jun 2016 – Jul 2016 · 1 mo · Gurgaon, India

• Worked on SQL server and Visual Basic For Applications

Jun 2016 – Jun 2016 · 0 mo

• Developed an Android Application using Google Location Services