shreyes shah

Provided insights for a new category team to increase bill penetration and gross profit; implemented search-term analysis, in-app funnel dropoff analysis, and experiments to target user intent. Increased bill penetration from 6% to 6.5% and raised gross profit per order by ₹1.

Delivered operational and CX insights, optimized resource allocation, prioritized issue categories, implemented fraud-detection mechanisms, and fed an in-app LLM knowledge base. After CX insourcing, CSAT rose from 2.1 to 3.3, SLA resolution rate improved from 45% to 74%, and answer rate increased from 35% to 85% within three months.

Identified high-risk credit-card customers by creating target variables for new-to-credit users, performing EDA and preprocessing, and building models optimized for precision, recall, and AUC.

Analyzed customer reviews across five countries using NLP to compute frequent words, sentiment scores, topic impact, and statistical significance; visualized and communicated regional differences in brand perception.

Completed a 3-course specialization covering supervised and unsupervised learning, neural networks, and reinforcement learning with practical feature engineering.

Grade: 8.2/10

B.Tech in Electronics Engineering with a CGPA of 8.2/10, covering electronics fundamentals and applied engineering projects.

Completed a 7-course specialization focused on customer targeting, marketing tools, and KPI-based measurement to improve user engagement.

Completed an 8-course specialization covering data questions, data collection, cleaning, and analysis using R, BigQuery, and Sheets.

Completed a 4-course specialization on AWS services for designing scalable, reliable, and cost-effective architectures for ETL and data solutions.