About

Data Analyst with 2 years of experience across data and business analytics, transforming raw data into actionable insights for product, marketing, and operations teams. Proficient in SQL, Python, Advanced Excel, Power BI, and Tableau, with experience in building dashboards, automating reports, and improving targeting efficiency and lead conversion through data-driven analysis and stakeholder collaboration.

Experience2

1. 1

   Data Analyst

   Sep 2025 — Present

   1DigitalStack.ai · Gurgaon, India

   Analyzed 50,000+ records using SQL and Excel, surfacing trends and patterns that improved reporting accuracy for cross-functional teams. Mapped and structured product features across the catalog into categories, benefits, and weightage, improving data consistency and the reliability of downstream reporting. Designed Power BI and Tableau dashboards to visualize key business metrics and support stakeholder decision-making. Optimized PostgreSQL queries, reducing report load time by 20% and accelerating turnaround on data-driven decisions.

   • Improved reporting accuracy for cross-functional teams.
   • Reduced report load time by 20%.
2. K

   Operations Analyst

   Mar 2025 — Sep 2025

   Kollegeapply

   Managed end-to-end lead operations — analyzing, organizing, and routing high-quality leads to clients based on campaign requirements. Built in-depth Google Ads performance reports tracking CTR, CPL, and conversion rate to guide ongoing campaign optimization. Delivered accurate daily and weekly client reports, partnering with internal teams to resolve delivery issues and streamline workflows.

Projects3

• Loan Default Risk Analysis

  Performed EDA on 1M+ loan records to identify default risk patterns across customer demographics, income, and car ownership. Identified high-risk customer segments and proposed strategies projected to reduce loan defaults by 15%. Analyzed a 28% rejection/cancellation rate among high-income applicants and visualized applicant trends using charts and heatmaps.

  • Python
  • Pandas
  • NumPy
  • Seaborn
  • Matplotlib

• Lead Scoring Model

  Built a Logistic Regression model with RFE feature selection, achieving 0.89 ROC-AUC to prioritize leads for an online education platform. Performed data preprocessing and EDA to identify key conversion drivers and optimize lead sources.

  • Python
  • Scikit-learn
  • Machine Learning

• E-Commerce Retail Analytics

  Designed a relational database to streamline sales tracking, customer segmentation, and inventory optimization. Analyzed sales data and seasonal trends to identify top-performing products and improve targeted promotions by 15%. Optimized inventory levels using sales trend analysis, reducing excess stock by 20%.

  • SQL
  • Relational Database Design

Education2

• IB

  Advanced Certification in Data Science

  2023 — 2024

  IIIT Bangalore & upgrade

  Data Analyst | Business Analyst

• BB

  Bachelor of Commerce (B.Com)

  2019 — 2022

  Binod Bihari Mahto Koyalanchal University

Certifications2

• Tableau & Power BI Certifications

  2024
• Data Analytics & Visualization Job Simulations

  Tata & Accenture (Forage)