Agile Datapro

• Develop comprehensive solution documents, including business requirements and technical stack, to support the design and functionality of an AI-driven application.
• Collaborate with stakeholders, including clients, product managers, and data engineers, to align product requirements and ensure seamless development and deployment.
• Tools and Skills: Azure AI search, Python, SQL, People Management

Code.org

• Collaborated with project managers and the marketing team to define deliverables aligned with go-to-market (GTM) strategies.
• Coordinated with third-party vendors to proofread training data, optimizing the Translation Management System (TMS) with AI language models (LLMs).
• Led a team of volunteers to incorporate feedback into the minimum viable product (MVP).
• Tools and Skills: Crowdin, Teamwork

Chegg

• Provided data-driven insights to the UX/UI team for the alpha version of CheggMate (Multi-Turn Chat System), leading to redefined KPIs that aligned with AI- driven business needs.
• Developed Interface Requirement Documents (IRDs) and product launch analytics plans in collaboration with Product and Data Solutions, ensuring alignment with stakeholder goals from day one.
• Collaborated on A/B test analysis (design, implementation, and results interpretation) for Chegg’s new LLM platform (MTC) as part of a 4-member core team.
• Automated reporting pipelines in Tableau, Amplitude, and Excel, streamlining A/B testing and GTM strategy execution.
• Tools: Python, DataBricks, Amplitude, SQL, Tableau, Confluence, A/B Testing, Data Storytelling

Chegg

• Conducted a comprehensive analysis of Covid-19's impact on the business, providing actionable insights to the strategy team, which contributed to a significant increase in company market value.
• Partnered with Product Managers to optimize the company’s e-reader app features, using Amplitude dashboards and models using detailed clickstream data to guide enhancements.
• Performed ROI analyses on multiple products (TBS, Q&A), leading to a strategic shift away from TBS investments and changes to the "In-House" answering team operations in India.
• Tools: Python, R, DataBricks, Amplitude, SQL, Tableau, Domo, Confluence, Strategic Thinking

Chegg

• Utilized machine learning algorithms to create demand forecasting models for textbook editions, leveraging R and Python on the DataBricks platform.
• Led dynamic pricing implementation for a catalog of over 10M SKUs using time series analysis in R, resulting in significant revenue growth.
• Conducted seasonal adoption analyses to identify potential catalog expansion opportunities for the consignment program, partnering with major American college textbook publishers to drive growth.
• Tools: Python, R, DataBricks, SQL, Tableau, Domo

Chegg

• Implemented and automated custom data pipelines (ETL) to executive dashboards in Tableau/Domo for the textbook business unit, streamlining reporting and insights delivery.
• Developed and automated detailed marketing funnels for each ISBN using Adobe Analytics and Redshift on the DataBricks platform, enabling near real-time insights into user behavior to optimize pricing decisions.
• Tools: Python, R, DataBricks, SQL, Tableau, Domo

Languages and Databases

Python

R

MySQL

PostgreSQL

Libraries

NumPy

Pandas

scikit-learn

matplotlib

Frameworks

Flask

TensorFlow

PyTorch

Other

Git

AWS