Data Science Graduate · Machine Learning Specialist
Data Science graduate skilled in Python, SQL, Machine Learning, and Data visualisation. Experience in building predictive models, analysing complex datasets, and developing real-time dashboards. Strong problem-solver with hands-on project experience, eager to apply data-driven insights to support business decision-making and product growth.
I'm Jagadeeswari J M, a Data Science graduate from The American College, Madurai with expertise in Python, SQL, Machine Learning, and Data Visualisation. Currently pursuing a Master's degree at Annamalai University while applying practical data-driven insights to real-world problems.
My passion lies in building predictive models and creating real-time dashboards. I've worked with diverse datasets, from autonomous vehicle systems to motorsport analytics, combining deep learning architectures with domain-specific knowledge to solve complex problems.
With hands-on experience in ML pipelines, ETL processes, and data analytics, I'm eager to contribute to organizations that value data-driven decision making. I'm particularly interested in deploying machine learning models at scale and developing interpretable AI solutions.
Developed a predictive ML model to forecast drift angles for motorsport vehicles. Built an interactive Streamlit dashboard for real-time model predictions and analysis.
End-to-end autonomous vehicle decision system using YOLOv8 object detection, LSTM trajectory prediction (87% accuracy), deployed via Streamlit at 45 FPS.
Interpretable ML framework integrating physics with regression and classification models for motorsport lap-time risk modeling. R² = 0.96 and Macro-F1 = 0.99. Won Best Paper Award.
IoT-based smart security system with sensor-driven anomaly detection and intelligent monitoring. Presented at the Advanced Computational Intelligence & Disruptive Technologies Conference.
Comprehensive data mining pipeline in R covering classification (Naïve Bayes, KNN, SVM), clustering (K-Means, K-Medoids), association mining (Apriori), and statistical preprocessing on real-world datasets.
Interactive web dashboard for visualizing Formula 1 race telemetry. Pulls live data from FastF1, renders lap-by-lap comparisons, sector times, and tire strategy charts with smooth animations.
This portfolio was developed with AI assistance at every stage — from UI design concepts to code optimization and content refinement.
Used Claude to generate design system ideas, color palettes, typography pairings, and layout strategies for a professional dark-theme portfolio aesthetic.
Accelerated development with intelligent code completions for CSS animations, JavaScript scroll observers, and event handlers throughout the portfolio.
Refined project descriptions, about-me copy, and achievement writeups for professional clarity, conciseness, and impact using conversational AI iteration.
Open to internship opportunities, freelance projects, and collaborative research in Data Science, Machine Learning, and Data Analytics. I'm eager to apply my skills to real-world problems and contribute to innovative solutions.