Shubham Vernekar

Pune, India 0+ yrs exp 70 · Very Good

About

Shubham Vernekar, a final-year B.Tech student in Electronics and Computer Engineering at MIT-ADT University. A quick and motivated learner with a strong foundation in databases like MySQL and cloud platforms such as AWS and GCP. Enjoys solving real-world problems and has gained hands-on experience through technical projects and hackathons. Particularly interested in system integration and automation using modern engineering approaches.

Skills & Expertise (31)

Python Advanced

8.0/10

Years Exp

Data Analysis Advanced

8.0/10

Years Exp

Machine Learning Advanced

8.0/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

JavaScript Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

HTML Intermediate

7.0/10

Years Exp

CSS Intermediate

7.0/10

Years Exp

GitHub Intermediate

7.0/10

Years Exp

Google Cloud Platform Intermediate

7.0/10

Years Exp

AWS Intermediate

7.0/10

Years Exp

Node.js Intermediate

6.5/10

Years Exp

MySql Intermediate

6.5/10

Years Exp

MongoDb Intermediate

6.5/10

Years Exp

Chart.js Intermediate

6.0/10

Years Exp

Web API Intermediate

6.0/10

Years Exp

Tailwind CSS Intermediate

6.0/10

Years Exp

FastAPI Intermediate

6.0/10

Years Exp

Flask Intermediate

6.0/10

Years Exp

React.js Intermediate

6.0/10

Years Exp

C++ Intermediate

5.5/10

Years Exp

Vercel Intermediate

5.5/10

Years Exp

Supabase Intermediate

5.5/10

Years Exp

OCR Intermediate

5.0/10

Years Exp

LangChain Intermediate

5.0/10

Years Exp

Selenium Intermediate

5.0/10

Years Exp

OpenCV Intermediate

5.0/10

Years Exp

Google Cloud Vision API Intermediate

5.0/10

Years Exp

Arduino Intermediate

4.5/10

Years Exp

Raspberry Pi Intermediate

4.5/10

Years Exp

Hardware Integration Intermediate

4.5/10

Years Exp

Work Experience

Data Analytics Intern

Zaalima Development Pvt. Ltd.

Mar 2026 - May 2026

Designed and built 'Consumer360,' an RFM (Recency-Frequency-Monetary) customer segmentation engine used to group and score customers for targeted marketing decisions. Engineered 'AlphaPulse,' a Monte Carlo investment risk simulator running 10,000+ Geometric Brownian Motion price paths across a 7-stock equal-weighted portfolio (AAPL, MSFT, GOOGL, AMZN, NVDA, JPM, TSLA). Computed and visualized VaR, Conditional VaR, Sharpe ratio, rolling volatility, and a Pearson correlation heatmap using Chart.js to communicate portfolio risk to stakeholders, and authored a 25+ page technical report for academic and industry mentors.