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The girl behind the dashboards βœ¦πŸ‘©πŸ»β€πŸ’»


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πŸ‘‹πŸ» Data Analyst | Data Science & GenAI

✦ SQL β€’ Python β€’ Power BI β€’ Tableau β€’ A/B Testing β€’ 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 Β· Python (pandas, NumPy, SciPy) Β· Excel Β· Power BI Β· Tableau Β· A/B Testing Β· LLM Evaluation Β· Prompt Engineering

Open to Data Analytics, Data Science, and AI/GenAI analytics internships.

Let's talk data πŸ“©

[email protected]

LinkedIn: https://www.linkedin.com/in/eshasharma-ai

GitHub: https://github.com/promptedbyesha

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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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🎯 I turn ambiguous business and AI questions into structured, data-backed decisions using research, experimentation, and product frameworks.

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β€’ 3 AI products tested

β€’ 5-type failure taxonomy

β€’ 5-metric KPI system

β€’ LLM evaluation across multiple task types.

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πŸ’Ό Work Experience


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Data Analytics & GenAI Projects (Independent) Self-Initiated / Personal Projects (Jan 2026 β€” Present) Β· Remote, India

🧠 SYSTEMS DESIGNED

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 β€” 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 15–20% 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 β€” 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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Projects


Projects

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✨ Skills


Skills

πŸŽ“ Education


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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

πŸ“œ Certifications


<aside> <img src="/icons/arrow-right_gray.svg" alt="/icons/arrow-right_gray.svg" width="40px" /> Google Analytics Certification – Google

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<aside> <img src="/icons/arrow-right_gray.svg" alt="/icons/arrow-right_gray.svg" width="40px" /> NVIDIA Β· Introduction to NLP Β· 2025

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