workingwithsanjay@gmail.com

Hi, my name is

Sanjay Sharma.

I build intelligent data solutions.

Data Science graduate student skilled in Python, SQL, and machine learning. Passionate about building end-to-end ML applications, real-time recommendation systems, and interactive dashboards that turn data into actionable insights.

Get In Touch

01. About Me

Hello! I'm Sanjay, a data science graduate passionate about turning complex data into actionable insights. My journey in data science began with a curiosity about how algorithms could predict and recommend, leading me to build several real-world projects.

Fast-forward to today, and I've built recommendation systems, interactive dashboards, and ML models that solve real problems. I focus on creating applications that are not just functional but also beautiful and user-friendly.

Here are a few technologies I've been working with recently:

  • Python
  • SQL
  • Pandas & NumPy
  • Scikit-Learn
  • Streamlit
  • Power BI & Tableau
Sanjay Sharma

02. Where I've Worked

Cyber Security Intern @ RedKross Research Foundation

Dec 2025 – Feb 2026 · Pune & Mumbai, India

  • Developed and trained machine learning models to detect phishing URLs and malicious network traffic in real time, achieving 94% detection accuracy.
  • Built end-to-end cybersecurity dashboards using Python and Streamlit to visualize live threat analytics for the Security Operations team.
  • Performed vulnerability assessments on internal systems and produced detailed security reports with actionable remediation recommendations.
View Certificate

03. What I've Learned

▹ Programming

Python, R, SQL

▹ Data Analysis

Pandas, NumPy, Matplotlib, Excel, Power BI, Tableau

▹ Machine Learning

Regression, Classification, Clustering, Hyperparameter Tuning

▹ Tools & IDEs

VS Code, PyCharm, Jupyter, Colab, Git

▹ Core Strengths

EDA, Data Cleaning, Feature Engineering, Model Evaluation, Statistical Analysis

04. Some Things I've Built

Featured Project

Real-Time Entertainment Intelligence

A cinematic Movie & TV Show analytics dashboard delivering deep intelligence on any title — box office financials, modelled revenue trends, budget vs. profit breakdowns, genre radar profiles, audience score rings, cast grids, season browsers, and popularity metrics. Powered by the TMDB API with dual Movie / TV mode, live search autocomplete with keyboard navigation, and a fully responsive gold-on-dark UI built in pure HTML, CSS, and JavaScript.

  • HTML / CSS / JS
  • TMDB API
  • Chart.js
  • Responsive Design
Real-Time Entertainment Intelligence Dashboard

Featured Project

Spotify Real-Time Recommendation System

A real-time music search and recommendation system with a Spotify-styled UI. Leverages the Spotify API to provide personalized song recommendations and artist insights with an intuitive, modern interface.

  • Python
  • Streamlit
  • Spotify API
  • Recommendation System
Spotify Recommendation System

Featured Project

AI Web Vulnerability Scanner

AI-powered advanced web vulnerability scanner that automates security testing for web applications. Utilizes machine learning to detect SQL injection, XSS, CSRF, and other OWASP Top 10 vulnerabilities with intelligent pattern recognition and comprehensive security reports.

  • Python
  • AI/ML
  • Security Testing
  • OWASP
AI Web Vulnerability Scanner

Other Noteworthy Projects

view the archive

Cyber Threat Detection Suite

Real-time threat classification suite using ML algorithms to detect malicious URLs, phishing attempts, and network anomalies with interactive dashboards and reporting.

  • Python
  • Streamlit
  • Machine Learning
  • Cybersecurity

Used Car Price Prediction

ML regression model to predict used car prices using feature engineering and multiple algorithms.

  • Python
  • Regression
  • Feature Engineering
  • Scikit-Learn

Movie Recommendation System

Content-based movie recommendation system using TF-IDF vectorization and cosine similarity to suggest similar movies.

  • Python
  • TF-IDF
  • Scikit-Learn
  • NLP

IPL Data Analysis Dashboard

Comprehensive analysis dashboard covering 12 seasons of IPL cricket data with interactive visualizations.

  • Python
  • Pandas
  • Matplotlib
  • Streamlit

05. What's Next?

Get In Touch

I'm currently looking for new opportunities and my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!

Say Hello