Available for opportunities
Vishvanath Madasamy

Vishvanath Madasamy

Data Scientist | ML & LLM Systems | Analytics & Decisioning

AWS-certified engineer bridging data engineering, IT systems, and AI — building the infrastructure that transforms raw data into intelligent, production-ready solutions.

✉ [vishvanathmadasamyofficial@gmail.com]

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About Me

I'm a Data Engineer, AI Specialist, and IT Systems Architect with a passion for building intelligent infrastructure that actually works in the real world. I don't just analyze data — I design the systems that collect it, engineer the pipelines that move it, and build the AI that makes sense of it.

From cloud architecture on AWS and Azure to production ML systems and analytics dashboards, my work spans the full data-to-decision lifecycle — delivering measurable improvements in performance, cost, and business outcomes.

🧠

Data Science & AI

From AI-powered fraud detection engines to cloud-scale analytics platforms and intelligent business applications — I design, build, and ship data systems that solve hard problems and deliver measurable outcomes.

📊

Analytics Platforms

Engineered production-ready analytics infrastructure and end-to-end data pipelines at massive scale — transforming millions of daily records into live business intelligence that organizations can actually act on.

☁️

Cloud & Infrastructure

Designed and implemented scalable cloud architectures on AWS and Azure, ensuring high availability, security, and performance for data-intensive applications.

Professional Experience

August 2025 – Present
UMass Dartmouth
University of Massachusetts Dartmouth
System Engineer
  • Managed and maintained campus-wide POS and access control systems (INFOR POS, UMass Pass, Lenel OnGuard), ensuring 99%+ uptime and seamless daily operations across the institution
  • Diagnosed and resolved complex hardware and software issues, reducing system downtime and delivering reliable performance for thousands of daily users
  • Partnered with IT and development teams to test, validate, and deploy system upgrades — ensuring zero-disruption rollouts across critical campus infrastructure
  • Drove data extraction, validation, and integrity checks that strengthened cross-system integration, audit readiness, and enterprise reporting accuracy
May 2024 – Oct 2024
Value IBMS
Value IBMS Pvt Ltd.
System Engineer Intern
  • Delivered end-to-end descriptive, predictive, and prescriptive analytics on large-scale cybersecurity datasets, uncovering actionable intelligence that directly boosted product sales by 30%
  • Engineered interactive Tableau dashboards and KPI reporting frameworks that transformed complex security data into clear, executive-ready business insights
  • Architected and deployed an automated SQL-based ETL pipeline that accelerated data preprocessing by 45%, eliminating bottlenecks and enabling faster, more reliable data flows
  • Drove cross-functional collaboration through streamlined data pipelines and shared KPI frameworks, exceeding team performance goals by an outstanding 67%
Jan 2024 – May 2024
Value IBMS
Value IBMS Pvt Ltd.
System Engineer Intern
  • Led end-to-end data analysis of operational performance metrics, system requirements, and KPIs for the Chiller Plant Manager (CPM) project at Pune Metro Station — delivering a 37% improvement in building management system efficiency
  • Engineered data-driven control solutions and automated workflows that eliminated manual interventions, reducing human error and dramatically improving overall system reliability
  • Implemented advanced predictive maintenance techniques powered by real-time monitoring, enabling proactive issue detection and minimizing costly system downtime across critical metro infrastructure
  • Bridged the gap between IT systems and operational data by designing intelligent automation frameworks that optimized chiller plant performance at enterprise scale

Skills & Expertise

⌨️

Programming & Data

  • Python (Pandas, NumPy, Scikit-learn, PySpark)
  • SQL (PostgreSQL, MySQL, Redshift, Snowflake)
  • JavaScript/TypeScript
  • FastAPI
  • LangChain
🤖

Machine Learning

  • Feature Engineering
  • Model Training & Evaluation
  • Fine-tuning
  • SMOTE
  • LLMs (GPT-4, Claude)
  • A/B Testing
🗄️

Databases & Cloud

  • PostgreSQL
  • MySQL
  • Supabase
  • MongoDB
  • Azure SQL
  • Databricks
  • Apache Spark
  • AWS (S3, Lambda, Glue, Step Functions)
  • Azure (Data Factory, Databricks)

📊 Data Analysis & Visualization

Power BI QuickSight Tableau Cube.js DAX M-Code

🔧 Version Control & Tools

Git Postman Swagger API Documentation

⚙️ Model Operations

Model monitoring Drift detection Cost optimization Production scoring

Education & Certifications

🎓 Education

Master of Science

MS in Data Science
University of Massachusetts Dartmouth · North Dartmouth, MA · Aug 2024 – May 2026

Bachelor of Engineering

Electronics and Communication Engineering
Anna University · Chennai, India · Aug 2020 – Jul 2024
🏅 Certifications

AWS Certified Cloud Practitioner

Amazon Web Services

AWS Certified AI Practitioner

Amazon Web Services

Microsoft Certified: Azure Data Scientist Associate

Microsoft

Projects

Subject: Database Design
Title:

Car Rental Management System

Purpose:

Developed a full-stack Car Rental Management System using HTML and CSS for the frontend, Python for the backend, and SQL Server Management Studio (SSMS) as the database — implementing vehicle inventory management, booking workflows, real-time availability search, dynamic pricing, complete CRUD operations, and an admin dashboard for fleet oversight, delivering a scalable, reliable, and production-ready system with strong data integrity and end-to-end operational efficiency.

HTML, CSS Python SQL SSMS SQL Server Management Studio.
View on GitHub
Subject: Data Analytics & Visual Intelligence
Title:

Global microplastics explorer—zoom, cluster, discover every ocean hotspot.

Purpose:

Developed an interactive Global Microplastics Network Visualization system that maps and displays the worldwide distribution of microplastic pollution using node-based visual representation, enabling users to explore geographic data across global regions. Engineered a dynamic, clickable network where each node represents a specific location — upon selection, it renders detailed microplastic concentration data, pollution spread patterns, and regional statistics, delivering a powerful data-driven tool for environmental awareness and scientific analysis.

HTML, CSS JSON Data Visualization Delta Tables
View on GitHub
Subject: Natural Language Processing & Conversational AI
Title:

Massachusetts Library Assistant Chatbot — Smart Conversational Support System

Purpose:

Designed and developed an intelligent Massachusetts Library Assistant Chatbot using Python, Rasa, HTML, and CSS to automate and streamline library support services — enabling users to instantly query book availability, library hours, and policies through a smart, conversational chat interface without requiring human assistance, delivering a fast, accurate, and user-friendly experience powered by natural language understanding and intent-based response automation.

Python Rasa (NLU, Core, Stories, Domain) Flask HTML, CSS Rasa NLU Pipeline Rasa Core (Rules, Stories) REST API (Rasa Webhook) YAML (training data, domain, config) Git Rasa Shell, Rasa Interactive VS Code / PyCharm
View on GitHub
Subject: AI in Healthcare
Title:

Brain Tumor Recognition

Purpose:

AI-powered web application that detects and classifies brain tumors from MRI scans using machine learning. Built with a modern full-stack setup, the system enables fast, accurate, and user-friendly medical image analysis.

Next.js Tailwind CSS Firebase Machine Learning CNN Medical Imaging
View on GitHub
Subject: Computer Vision
Title:

Plant Disease Detection

Purpose:

This project focuses on detecting plant leaf diseases using image classification techniques. Users can upload images of plant leaves, and the system predicts the type of disease or identifies if the leaf is healthy. The application is built using Next.js for the frontend, Tailwind CSS for styling, and Firebase for backend services and deployment. The machine learning model is trained to recognize patterns in leaf images for accurate disease classification.

Next.js Tailwind CSS Firebase Machine Learning CNN Computer Vision
View on GitHub
Subject: Data Visualization
Title:

USA-Stock-Market-Visualizations

Purpose:

Created interactive data visualizations for USA stock market trends, enabling stakeholders to make informed investment decisions based on real-time analytics.

HTML CSS JS Data Analysis Visualization D3.js Delta Tables Git VS Code Jupyter Notebook
View on GitHub
Subject: Full Stack Development
Title:

Splittingapp

Purpose:

A user-friendly web application that simplifies splitting expenses among groups, allowing users to track shared costs and settle balances efficiently.

TypeScript Next.js Tailwind CSS Full Stack Web Development Git VS Code
View on GitHub
Subject: Medical Imaging & Data Visualization
Title:

NeuroVista Explorer

Purpose:

Interactive CT-scan viewer with real-time threshold & histogram controls. Built from scratch in vanilla HTML, CSS, and JavaScript—zero frameworks.

HTML CSS JS Data Analysis Visualization D3.js Delta Tables Git VS Code Jupyter Notebook
View on GitHub
Subject: Business Intelligence
Title:

Netflix Movie Visualization

Purpose:

Explore Netflix's worldwide library through an interactive dashboard that breaks down title counts, genre trends, and ratings—with one-click access to individual title details.

Tableau Data Analysis Visualization
View on Tableau
Subject: Exploratory Data Analysis (EDA)
Title:

IBM HR Visualization

Purpose:

Analyze and visualize IBM's human resources data to identify trends, patterns, and insights for better decision-making.

Tableau Data Analysis Visualization
View on Tableau
Subject: Spatial Demographic Analysis
Title:

Massachusetts Geospatial Analysis

Purpose:

Conducted geospatial data analysis and visualization for the state of Massachusetts to identify significant trends, patterns, and insights applicable to strategic decision-making.

HTML CSS JavaScript D3.js Geospatial Analysis Data Visualization Git VS Code
View on GitHub
Subject: Pattern Recognition in Networks
Title:

Global Author Collaboration Network

Purpose:

"Interactive Gephi force-directed graph clusters global author collaborations by connection strength and country color, with real-time physics sliders and a sidebar ranking the top ten contributing nations.

HTML CSS JavaScript D3.js Geospatial Analysis Data Visualization Git VS Code
View on GitHub

Get In Touch

I'm always interested in discussing new opportunities, collaborations, or challenging projects. Feel free to reach out!

✉️

Email

[vishvanathmadasamyofficial@gmail.com]
💼

LinkedIn

linkedin.com/in/vishvanath-madasamy/
📄

Resume

View my resume

Let's Build Something Great

Whether it's Data Engineering, LLM applications, IT Systems or analytics platforms, I'm excited to bring technical expertise and creative problem-solving to your next project.

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