Kaustubh Waghmare

About

Computer Science Engineering student with a Computer Engineering background and hands-on experience building analytics projects. Skilled in SQL, Python, data analysis, dashboard development, and AI/ML fundamentals, with a focus on business and blockchain analytics.

Experience

• Independent Analytics Portfolio
  2026 – Present

Education

• B.Tech
  RTMNU
  Computer Science Engineering · Jun 2024 – May 2027

Skills

• SQL
• Business Analysis
• Data Analysis
• Data Visualization
• Research and Analytics
• Python
• Machine Learning
• Ethereum
• Trend analysis
• Technical Documentation
• Dashboard Development
• KPI Analysis
• User Segmentation
• Stablecoins
• Decentralized Finance (DeFi)
• Generative AI (ChatGPT, Copilot, Gemini)

Projects

• Trader Behavior Analytics ↗
  SQL, Dune Analytics

  Analyzed trader frequency, active days, consistency, and segmentation.

• Ethereum Gas Analytics ↗
  SQL, Dune Analytics

  Analyzed gas usage, transaction activity, and network demand.

• NFT Market Analytics ↗
  SQL, Dune Analytics

  Analyzed sales, trading volume, buyers, sellers, and collection-level activity.

• DeFi Protocol Analytics ↗
  SQL, Dune Analytics

  Analyzed TVL, users, liquidity, volume, and protocol activity.

• Cross-Chain Analytics ↗
  SQL, Dune Analytics

  Compared activity across multiple blockchain datasets using standardized KPIs.

• Wallet & User Analytics ↗
  SQL, Dune Analytics

  Applied segmentation and new-vs-returning user analysis to understand behavior.

• DEX Trading Analytics ↗
  SQL, Dune Analytics

  Analyzed trading volume, unique users, market share, and behavioral trends.

• Stablecoin Analytics ↗
  SQL, Dune Analytics

  Analyzed supply, transfer volume, active users, and market share as financial activity metrics.

• Ethereum Network Analytics ↗
  SQL, Dune Analytics

  Analyzed transaction activity and network trends using KPI and trend-analysis methods.

Courses & certifications

• Executive Professional Certification Program in Generative AI & Machine Learning · IITI DRISHTI CPS Foundation, IIT Indore · 2026