About Me

Kahana

Remote, USA

• •Designed and implemented relational databases in Supabase (PostgreSQL), developing optimized schemas to capture user authentication and browser activity data (session data, user actions, etc.)
• •Built and scaled backend data pipelines and serverless workflows using AWS (Lambda, EC2, DynamoDB), automating processing, monitoring, and API usage analytics to improve reliability
• •Optimized real-time data storage and caching with Redis, reducing latency and enhancing scalability across distributed systems
• •Worked on integrating Voice to Text using Deepgram API to improve user experience for the browser
• •Developed MVPs for BYOK and enterprise browser (Chromium based) customization for the browser
• •Streamlined the development lifecycle by implementing CI/CD pipelines via GitHub and AWS for automated browser builds, versioning, and archiving to support reliable pre-launch software iterations

Rivian Automotive

Normal, IL, USA

• •Data Engineering: Led implementation of an advanced initiative tracking system, encompassing migration of 500+ initiatives, analytics pipeline setup, and creation of comprehensive dashboards; resulting in an optimized process & annual savings of $3M
• •Analytics & Process Improvement: Established a standardized central database and reporting tool for EHPV analysis; automating processes and optimizing workflows to save 30 man-hours per week for the team

ZS Associates

Pune, MH, India

• •Analytics: Led the Advanced Analytics for the Demand Planning team of a Top-10 Pharma client. Developed and maintained 40+ reports and dashboards which tracked performance parameters and provided actionable insights to senior stakeholders
• •Data Engineering & Management: Developed multiple pipelines to clean & transform data from different systems and store them in Databases like MS Access which were utilized by various other ZS and client teams for downstream processes
• •Machine Learning & Forecasting: Developed univariate time series forecasting models in Python by employing multiple statistical, deep learning and ensemble methods, which resulted in improved lag 1 Sales Forecast Accuracy by ~10%
• •Process Integration & Improvement: Led the Demand Planning Process and ERP system integration post the M&A between 2 Top-Pharma clients. Built 15+ tools and processes to streamline the process which saved each planner 50+ hours monthly
• •SAP IBP: Worked with the clients during the SAP-IBP implementation for their demand planning process. Helped in defining business rules, data flow and the UAT testing. Was the SAP-IBP Super-User for the global demand planning team

Mu Sigma

Bangalore, KA, India

• •Demand Forecasting: Conducted a comprehensive demand forecasting case study for a retail chain. Tasks included data migration using PySpark, EDA, hypothesis testing, and statistical modeling using Python. Delivered final insights via a PPT deck
• •Sentiment Analysis: Analyzed customer reactions to a new product launch using Python's NLTK on a sample Twitter dataset

Duke University

Durham, NC, USA

GPA: 4.0

Selected Coursework: NLP, ML, Data Engineering, Causal Inference, Cloud Computing, DSA, Statistical Modeling, Data Ethics, Data Visualization

SRM University

Chennai, TN, India

GPA: 3.3/4

Selected Coursework: Pattern Recognition Techniques, Advanced Calculus, Probability & Random Processes, Discrete Mathematics