About

Data Analyst with hands-on experience building BI data frameworks, KPI dashboards, and automated reporting pipelines across operations and AI data-training environments. Currently at Ethara AI, supporting data curation and evaluation analytics for LLM fine-tuning; previously at Flipkart, improved return delivery accuracy from 92% to 99% and cut manual reporting effort by 4 hours per week through data modelling, root cause analysis, and stakeholder driven dashboard development. Combining a B.Tech in Computer Science with an MBA (expected 2026), with additional depth in SQL, Power BI, DAX, and end to end data pipeline design.

Experience3

1. EA

   Data Analyst

   Jun 2026 — Present

   Ethara AI

   Analyze data curation, annotation, and human-in-the-loop evaluation pipelines for reinforcement learning and LLM fine-tuning projects. Build SQL and Power BI dashboards to track annotator throughput and data quality. Collaborate with operations and engineering teams to define quality-check logic and reporting structures.

2. F

   SCM Analyst, Business Intelligence

   Feb 2024 — Oct 2024

   Flipkart

   Designed and maintained return-tracking data model on 10,000+ rows improving return delivery rate from 92% to 99%. Diagnosed bagging errors increasing correct destination accuracy from 89% to 95%, reducing logistics costs. Built automated KPI dashboards with Excel macros reducing manual effort by ~4 hours/week and maintained data documentation.

3. MA

   Research Associate (Internship)

   Oct 2025 — Nov 2025

   MarkNtel Advisors

   Produced 200+ structured market intelligence reports across sectors using DCTO framework. Synthesized quantitative and qualitative data into XML-compatible reports. Defined metric logic and data definitions, ensuring 100% on-time client deliveries.

Projects2

• Fraud Detection System with Explainable AI

  Developed an end-to-end fraud detection pipeline using IEEE-CIS Kaggle dataset, addressing class imbalance with SMOTE and benchmarking models with XGBoost, LightGBM, and Isolation Forest. Implemented threshold optimization and risk segmentation to reduce false positives. Integrated SHAP for feature importance, deploying a Streamlit dashboard to visualize fraud KPIs and explanations.

  • Python
  • XGBoost
  • LightGBM
  • Isolation Forest
  • SHAP
  • SMOTE
  • Streamlit
  • Scikit-learn
  • Plotly

• Customer Shopping Behaviour Analysis

  Built a 5-stage data pipeline analyzing 3,900 retail transactions using SQL and Power BI. Conducted SQL analysis for customer segmentation and discount effectiveness, delivering actionable insights. Created an interactive Power BI dashboard with DAX measures and data modelling across spend, demographics, shipping preferences, and ratings.

  • Python
  • Pandas
  • NumPy
  • SQL
  • PostgreSQL
  • Power BI
  • DAX

Education2

• IE

  MBA

  2024 — 2026

  IMS Engineering College, Ghaziabad

  Business Administration

• MI

  B.Tech

  2019 — 2023

  Meerut Institute of Engineering and Technology

  Computer Science