About Skills Projects Achievements Research Contact Resume
Data Science Graduate
Machine Learning Specialist
Big Data Analytics
Python & SQL Expert
Predictive Modeling
Data Visualization
Data Science Graduate
Machine Learning Specialist
Big Data Analytics
Python & SQL Expert
Predictive Modeling
Data Visualization
Available for Research Collaboration

Jagadeeswari J M

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.

4+
Internship Experiences
500GB
Big Data Processed
8+
Certifications
Jagadeeswari J M
🏆
Best Paper Award Physics-Informed ML for Motorsport
📊
IIT Allahabad Intern Big Data Engineering 500GB+ Processed
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About Me
Building solutions
with data.
Bachelor of Science in Data Science
The American College, Madurai, Tamil Nadu
Graduated: May 2025 | GPA: 8.7
Master of Science in Data Science
Annamalai University, Chidambaram, Tamil Nadu
Expected Graduation: May 2027 (Pursuing)

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.

📊
Data Analysis & Visualization
Expert in Power BI, Tableau, and Python visualization libraries (Matplotlib, Seaborn, Plotly) for creating compelling real-time dashboards and business insights.
🤖
Machine Learning & Predictive Modeling
Skilled in classification, regression, and feature engineering with hands-on experience in TensorFlow, PyTorch, and Scikit-Learn for predictive model development.
🚗
Deep Learning & Computer Vision
LSTM trajectory prediction and Neural Networks implementation for autonomous systems and real-time decision making with 87% accuracy achieved.
🔧
Data Engineering & ETL
Big Data processing on Hadoop, MySQL/PostgreSQL database optimization, data cleaning, and ETL pipeline development with demonstrated 35% query time reduction.
Technical Skills
The tools I
think with.
Programming Languages
Python R SQL Java
ML/AI & Deep Learning
PyTorch TensorFlow Scikit-Learn Neural Networks Classification Regression
Data Processing & Tools
Pandas NumPy ETL Data Wrangling Streamlit Jupyter
Databases
MySQL PostgreSQL Big Data
Data Visualization
Power BI Tableau Matplotlib Seaborn Plotly
Deployment & Tools
Model Deployment GitHub Git
Python / ML90%
Data Analysis88%
Deep Learning80%
Frontend Dev72%
R / Statistics78%
Computer Vision75%
Selected
Projects.
01
ML · Motorsport
DriftAI: Drift Angle Prediction Dashboard

Developed a predictive ML model to forecast drift angles for motorsport vehicles. Built an interactive Streamlit dashboard for real-time model predictions and analysis.

PythonScikit-LearnStreamlit Pandas
02
AI · Computer Vision
Hybrid Intelligence for Autonomous Vehicles

End-to-end autonomous vehicle decision system using YOLOv8 object detection, LSTM trajectory prediction (87% accuracy), deployed via Streamlit at 45 FPS.

YOLOv8LSTMStreamlit PythonDeep Learning
03
Research · ML
Physics-Informed ML for Tire Degradation

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.

PythonML FrameworksPhysics Statistical Modeling
04
IoT · Security
IoT & Smart Security System

IoT-based smart security system with sensor-driven anomaly detection and intelligent monitoring. Presented at the Advanced Computational Intelligence & Disruptive Technologies Conference.

IoTPythonSensors Data Analytics
05
Data Mining · R
Data Mining Experiments — R Analytics Suite

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.

Rggplot2caret arulese1071
06
Mini Project · Web
F1 Dashboard — Race Telemetry Visualizer

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.

FastF1PythonJavaScript Chart.jsFlask
Achievements
Recognition
& Milestones.
🏆
Best Paper Award
Awarded for research on Physics-Informed Machine Learning for Tire Degradation and Lap-Time Risk Modelling in Motorsport at a national conference.
2025
🎓
B.Sc Data Science Graduate
Graduated with GPA 8.7 from The American College, Madurai with specialization in Machine Learning and Data Analytics.
May 2025
📊
Big Data Engineering Internship
IIT Allahabad — Processed 500GB+ datasets using Hadoop MapReduce; optimized ETL pipeline reducing query execution time by 35%.
May - Jun 2024
🚀
Research & Publication
Published work at IJCER 2024 and presented at Advanced Computational Intelligence Conference. Currently pursuing Master's degree.
2024 - Present
AI-Assisted Development

This portfolio was developed with AI assistance at every stage — from UI design concepts to code optimization and content refinement.

🤖 Claude AI
GitHub Copilot
🧠 ChatGPT
🎨 Midjourney
🔍 Perplexity AI
v0 by Vercel
🤖 Claude AI
GitHub Copilot
🧠 ChatGPT
🎨 Midjourney
🔍 Perplexity AI
v0 by Vercel

🎨 Claude AI — UI/UX Design

Used Claude to generate design system ideas, color palettes, typography pairings, and layout strategies for a professional dark-theme portfolio aesthetic.

💻 GitHub Copilot — Code Completion

Accelerated development with intelligent code completions for CSS animations, JavaScript scroll observers, and event handlers throughout the portfolio.

✍️ Claude AI — Content Refinement

Refined project descriptions, about-me copy, and achievement writeups for professional clarity, conciseness, and impact using conversational AI iteration.

Resume
My Professional
Profile.
Download Resume ⬇️
Education
Bachelor of Science in Data Science
The American College, Madurai, Tamil Nadu
Graduated: May 2025 | GPA: 8.7
Specializing in Machine Learning, Data Visualisation, Python & R Programming, SQL, Big Data Analytics.
Master of Science in Data Science
Annamalai University, Chidambaram, Tamil Nadu
Expected Graduation: May 2027 (Pursuing)
Coursework: Machine Learning, Data Visualisation, Deep Learning, Python & R Programming, SQL, Big Data Analytics.
Experience
Data Science & Machine Learning Intern
Edureka Enterprise
Dec 2023
Worked on predictive modeling, data preprocessing, and ML pipelines. Built end-to-end data workflows and contributed to real-world analytics tasks.
Big Data Engineering Intern
IIT Allahabad (Hadoop Core)
May - Jun 2024
Processed 500GB+ datasets using Hadoop MapReduce; optimized ETL pipeline reducing query execution time by 35%; implemented batch processing reducing computational overhead by 40%.
IoT & Robotics Intern
Corizo
Jul - Aug 2024
Worked on IoT system integration, robotics components, and sensor-driven data analytics.
Data Analytics Intern
Intellizy Studio
Jun - Jul 2024
Applied data analytics techniques to business use cases. Performed EDA, reporting, and dashboard creation for real datasets.
Core Skills
PythonR SQLJava PyTorchTensorFlow Scikit-LearnPandas NumPyPower BI TableauStreamlit
Certifications
Data Visualization: Empowering Business with Effective Insights – TATA Diploma in MySQL and Statistics for Data Analysis Data Science & Analytics – HP (2024) Data Science 101 (DS0101EN) – IBM
Research
Publications &
Research Work.
Publications
Hybrid Intelligence for Autonomous Vehicles
Used YOLOv8 object detection, LSTM trajectory prediction, and Multi-Armed Bandit optimization. Presented at IJCER 2024 Conference, Venue: St. Francis College.
Physics-Informed Machine Learning for Tire Degradation and Lap-Time Risk Modelling in Motorsport
Integrated physics concepts with ML regression and classification models. Achieved R² = 0.96 and Macro-F1 = 0.99. Won Best Paper Award at a national conference in 2025.
IoT & Smart Security System
IoT-based smart security model with sensor-driven anomaly detection. Presented at the Advanced Computational Intelligence & Disruptive Technologies Conference, Venue: PSG College of Technology.
Contact

Let's collaborate
on data-driven solutions.

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.