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โฆ SQL โข Python โข Power BI โข Tableau โข A/B Testing โข LLM Evaluation
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I'm a Data Analyst with a growing focus on Generative AI, currently pursuing my MCA at ABES Engineering College. I enjoy turning ambiguity into clarity through data, research, and structured problem solving.
Skills: SQL ยท Python (pandas, NumPy, SciPy) ยท Excel ยท Power BI ยท Tableau ยท A/B Testing ยท LLM Evaluation ยท Prompt Engineering
Open to Data Analytics, Data Science, and AI/GenAI analytics internships.
Let's talk data ๐ฉ
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<aside> <img src="/icons/invitation_orange.svg" alt="/icons/invitation_orange.svg" width="40px" /> [email protected]
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**https://www.linkedin.com/in/eshasharma-ai**
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๐ฏ I turn ambiguous business and AI questions into structured, data-backed decisions using research, experimentation, and product frameworks.
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โข 3 AI products tested
โข 5-type failure taxonomy
โข 5-metric KPI system
โข LLM evaluation across multiple task types.
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Data Analytics & GenAI Projects (Independent) Self-Initiated / Personal Projects (Jan 2026 โ Present) ยท Remote, India
| Project | Tools | What I Built | Impact |
|---|---|---|---|
| AI Trust & Failure Analysis | Claude, Gemini, ChatGPT, Notion | 5-type failure taxonomy + 3-stage Trust Recovery Framework + 5 KPIs | Evaluated 3 leading LLM assistants across 5 task types and identified recurring failure patterns in their responses. |
| Notion AI โ Workspace Memory PRD | Notion, UX Pilot, Reddit | 10-section concept PRD + 10-screen prototype + 6-week MVP rollout plan | Wrote a 10-section PRD backed by Reddit user research, with RICE prioritization, a privacy-first architecture, a 6-week MVP scope, kill conditions, and AI-specific failure-handling controls. |
| Perplexity AI Product Teardown | Reddit, Notion | 3 systemic problems + 3 feature recommendations + Northstar metric | Identified 3 systemic retention gaps through user research. Designed 3 feature recommendations, each tied to a target metric, projecting a 15โ20% lift in 30-day Pro retention. |
| Olist E-Commerce Funnel Analysis | SQL, Python, Tableau | 4-stage funnel map + cohort retention heatmap + revenue segmentation | Analyzed 99K+ orders from the public Olist Brazilian e-commerce dataset using SQL and Python; mapped a 4-stage funnel and segmented revenue across 10 product categories. |
| A/B Test โ Feature Adoption | Python, Power BI | Full experiment design + 5,000-user simulation + significance testing | Simulated a 5,000-user dataset in Python and ran chi-square testing (p = 0.000046), identifying a +23.7% Day-7 retention lift for new users. Delivered a 4-page Power BI dashboard and a ship/iterate memo recommending a new-user-only rollout. |
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Master of Computer Applications (MCA) ABES Engineering College affiliated to Dr. A.P.J. Abdul Kalam Technical University (AKTU)
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Bachelor of Computer Applications (BCA) Institute of Management Studies Noida, Chaudhary Charan Singh University
<aside> <img src="/icons/arrow-right_gray.svg" alt="/icons/arrow-right_gray.svg" width="40px" /> Google Analytics Certification โ Google
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<aside> <img src="/icons/arrow-right_gray.svg" alt="/icons/arrow-right_gray.svg" width="40px" /> NVIDIA ยท Introduction to NLP ยท 2025
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