Hariharan M

I’m Hariharan M, an AI and Data Science enthusiast with a strong passion for solving real-world problems through technology. I’ve built hands-on experience in data analysis, machine learning, deep learning, and AI-integrated cloud solutions. During my AI/ML internship, I worked extensively on data preprocessing, model building, and deployment using tools like Python, Scikit-learn, XGBoost, and visualization libraries.

I’ve also developed projects like an AI-powered finance manager and predictive models that demonstrate my ability to apply theoretical knowledge in practical scenarios. Along with my technical skills, I bring adaptability, critical thinking, and a constant eagerness to learn and grow in this ever-evolving field.

Intern -AI ML Engineer (November 2024 – June 2025, Remote)

• During my internship, I was responsible for gathering and processing large-scale structured and unstructured datasets using Python, NumPy, and Pandas, applying data wrangling, cleaning, and feature engineering techniques to enhance model accuracy. I conducted statistical analysis, EDA, and used Matplotlib and Seaborn.
• In the deployment phase, I contributed to model optimization and scalability using Scikit-learn, XGBoost, and LightGBM, ensuring high-performance inference. I also applied hyperparameter tuning with Grid Search and Random Search to improve model accuracy.
• I interpreted model results, evaluated performance metrics such as accuracy, precision, recall, F1-score, and ROC-AUC, and presented insights through interactive dashboards and reports, driving informed business decisions.
• As a result of my contributions, I successfully earned both the On-Job Training (OJT) certificate and the Internship certificate, demonstrating my proficiency in AI/ML model development, deployment, and data driven decision-making..

I’ve completed my Bachelor of Engineering in Artificial Intelligence and Data Science from East Point College of Engineering and Technology, Bengaluru, with a CGPA of 7.5. The program gave me a solid foundation in machine learning, data analysis, deep learning, and cloud-integrated AI applications.