Agile Datapro

• Developed detailed solution documents, outlining business requirements and technical specifications for an AI-driven application, ensuring clarity and alignment for development and deployment.
• Collaborated with clients, product managers, and data engineers to gather and translate business needs into actionable analytics requirements, ensuring seamless integration and effective data utilization.
• Tools and Skills: Azure AI search, Python, SQL, People Management

Code.org

• Partnered with project managers and the marketing team to define project deliverables that directly supported go-to-market (GTM) strategies.
• Worked with a team of volunteers to gather and incorporate feedback into the minimum viable product (MVP).
• Proofread translations from various sources to ensure they met quality standards and maintained consistency with the overall product.
• 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.
• Redefined KPIs for CheggMate (Multi-Turn Chat System) based on data-driven insights, aligning with AI-driven business needs. Developed Interface Requirement Documents (IRDs) and product launch analytics plans.
• Automated reporting pipelines in Tableau, Amplitude, and Excel, streamlining A/B testing and Go-To-Market (GTM) strategy execution.
• 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.
• 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

Azure

Power BI