Hello, I'm SAHID S

Recent Data Science graduate passionate about leveraging data to drive insights and inform decision-making with expertise in Python and machine learning. Ready to bring fresh perspectives and innovative solutions to dynamic teams.

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About Me

Passionate about leveraging technology and innovation to solve complex problems and drive meaningful impact.

As a recent graduate in MSc Data Science from The American College, Madurai, I bring a strong foundation in Python programming, Data analysis, AI/ML model development combined with hands-on experience in Flask API development, React Native Mobile App. My academic journey has been focused on data manipulation and applied machine learning, where I've consistently demonstrated excellence and leadership.

During my studies, I completed multiple major projects including IPL match winner prediction system. I'm particularly passionate about AI-driven automation and how it can be applied to e-commerce, sports analytics, and intelligent search systems.

I'm eager to apply my academic knowledge, technical skills, and fresh perspective to contribute to innovative teams and drive meaningful projects forward.

7 Cumulative GPA
2 Major Projects
2 Certifications
5+ Skills Acquired

Skills & Expertise

A comprehensive toolkit developed through academic coursework, personal projects, and practical applications.

Technical Skills

Python Flask HTML/CSS JavaScript React Native Machine Learning Deep Learning

Data & Analytics

Data Cleaning Exploratory Data Analysis Predictive Modeling & Evaluation Excel Power BI

Tools & Platforms

VS Code Google Collab Postman GitHub PostgreSQL

Soft Skills

Problem Solving Communication Team Leadership Critical Thinking Adaptability

Featured Projects

A showcase of academic and personal projects demonstrating technical proficiency and problem-solving capabilities.

Rainfall Prediction System

Rainfall Prediction System Using Machine Learning

Comprehensive capstone project focusing on predicting monthly, seasonal, and annual rainfall in India based on historical meteorological data. Developed a Streamlit-based interactive dashboard and dual-model prediction engine (Linear Regression & Random Forest) that provided accurate rainfall forecasts and visual insights for agricultural planning and climate research. Collaborated with 3 team members over 4 months.

Python Machine Learning Data Analysis Visualization
GitHub
IPL Win Prediction

IPL Win Prediction Using Machine Learning

Comprehensive capstone project focusing on predictive analytics in sports using historical IPL match data. Developed a machine learning-based web application that predicts the winning probability of a team during an IPL match and provides AI-generated match commentary, achieving 89.7% accuracy with Random Forest. Collaborated with 3 team members over 4 months to deliver a fully functional, deployed solution.

Python Machine Learning Data Analysis Visualization Streamlit
GitHub

Experience & Education

Academic achievements, professional experience, and key milestones in my career journey.

Education

MSc Data Science

The American College, Madurai
2024 - 2026

CGPA: 7/10

Relevant Coursework: Data Visualization, Machine Learning, Deep Learning, Statistical Analysis, Big Data Analytics

BSc Computer Science

Jamal Mohamed College, Trichy
2021 - 2024

CGPA: 7.5/10

Relevant Coursework: Web Development, Database Management Systems, Data Structures & Algorithms, Software Engineering

Professional Certifications

2024 - 2025
  • 100 Days of Code: The Complete Python Pro Bootcamp – Udemy – Comprehensive Python programming course covering advanced concepts and practical applications.
  • The Complete Full-Stack Web Development Bootcamp – Udemy – Full-stack development skills including frontend and backend technologies.

Experience

AI-Powered Python Developer

TACTGEN
Feb 2025 - Present

Key Responsibilities:

  • Developed Flask APIs for intelligent tasks including image-to-text, product description generation, autocomplete.
  • Converted Streamlit prototypes into production-ready Flask APIs with clean naming conventions, exception handling, and Postman/curl testing.
  • Built a CLIP-embedding based visual matcher with cosine similarity for catalog image search.
  • Designed and automated e-commerce product listing/editing workflows, including Google Custom Search API integration, category mapping, and platform publishing.
  • Implemented search recommendation systems using hybrid AI (fuzzy + GPT-4o) and automated Excel-based product catalog updates with Pandas/OpenAI.
  • Developed and refined React Native mobile apps (Gottalott, GENPI Vendor App) with OTP verification, subscription logic, and UI/UX improvements.
  • Enhanced GenPi Property Management System by resolving backend logic issues, fixing DB inconsistencies PostgreSQL, and ensuring validation rules.
  • Created data visualizations and dashboards using Pandas, NumPy, Matplotlib, Seaborn, and Plotly for analysis and decision-making.

Major Projects: Gottalott E-commerce App, GENPI Property Management System Vendor App, IPL Live Match Winner Prediction System.

Technical Skills: Python, Flask, React Native (TypeScript), JavaScript, HTML, CSS, Pandas, NumPy, Matplotlib, Seaborn, Plotly, CLIP, PostgreSQL, pgAdmin4, Postman, VS Code, Android Studio, Streamlit

Download Full Resume (PDF)

Let's Connect

Ready to discuss opportunities, collaborate on projects, or simply connect. I'd love to hear from you!

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Phone

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Location

Location

Madurai, Tamil Nadu - 625001

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