Hi, I'm Nimalan Mani M

AI/ML Engineer • Machine Learning Developer

Building intelligent, data-driven systems using machine learning, predictive analytics, and interactive dashboards with real-world datasets.

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About Me

Who I Am

I am an AI/ML undergraduate at Chennai Institute of Technology passionate about developing intelligent systems using machine learning, data analytics, and predictive modeling.

I have experience building end-to-end ML projects involving XGBoost, Logistic Regression, Power BI, Streamlit, and real-world datasets, with a strong focus on problem solving and scalable solutions.

I've also solved 600+ LeetCode problems, strengthening my understanding of algorithms and software engineering fundamentals.

Education

Chennai Institute of Technology

BE – Computer Science & Engineering (AI-ML)

2024 – 2028

CGPA: 7.98

Skills

Languages

PythonC++SQLJavaScript

Machine Learning

Supervised LearningClassificationRegressionFeature EngineeringModel Evaluation

Data Science

EDAData CleaningStatistical AnalysisPredictive Analytics

Libraries & Tools

Scikit-learnPandasNumPyMatplotlibPower BIStreamlit

Platforms

GitMySQLJupyter NotebookVS CodeDocker

Experience

AI-ML Virtual Internship

Eduskills (Google for Developers)

Apr 2025 – Jun 2025

Completed AI/ML internship under Google for Developers via Eduskills,working with machine learning concepts and real-world datasets

Data Analytics Internship

Kaashiv Infotech

Nov 2025 – Dec 2025

Performed data cleaning, visualization, and insight generation during Data Analytics internship at Kaashiv Infotech.

Projects

NASA Predictive Maintenance System

Built an end-to-end predictive maintenance system using XGBoost on NASA CMAPSS dataset to estimate aircraft engine Remaining Useful Life (RUL) with probabilistic risk scoring.

Python • XGBoost • Streamlit • Docker

AI Powered Student Performance Prediction

Developed a Logistic Regression model achieving 91.67% accuracy with real-time prediction and interactive Streamlit deployment.

Python • Scikit-learn • Streamlit

Customer Churn Prediction

Built an end-to-end churn prediction pipeline achieving 85.37% accuracy and ROC-AUC of 0.93 with business analytics dashboards.

Python • Machine Learning • Power BI

Certifications

Programming Essentials using Python – Cisco

Introduction to Data Science – Cisco

AWS Cloud Practitioner Essentials – AWS

Achievements

🏆

Reverse Coding X Finalist

Competitive Programming

2026

🚀

Shaastra Programming Contest Finalist

IIT Madras