JAYAVARSHINI JAYAKUMARAN
Data Science · Data Analysis · ML Engineering · CS Student

Building dashboards, predictive models, and AI tools that turn raw data into decisions.

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About

Who I Am

I'm a Computer Science student at SNS College of Technology, Coimbatore, maintaining a CGPA of 9.26/10. I build end-to-end analytics and ML systems, from messy raw data to dashboards stakeholders can act on.

My work spans Python, SQL, and modern data platforms including Snowflake, AWS, and Google BigQuery. I design reporting pipelines that are reliable, auditable, and built to scale.

I'm particularly interested in where data science, predictive modelling, and AI tools intersect: systems that don't just analyse data, but act on it.

Data Analytics & BI
SQL-driven reporting, Power BI and Tableau dashboards, EDA, and KPI frameworks
Machine Learning & AI
End-to-end ML pipelines, model training, NLP, deep learning, and LLM applications
Data Science
Pipeline design, Snowflake, Google BigQuery, AWS Redshift, and automated preprocessing workflows
Jayavarshini Jayakumaran

B.E. Computer Science · SNS College of Technology · 2023 – 2027

Coimbatore, Tamil Nadu, India

Experience & Education

My Journey

June 2026
Data Science Intern
DMEX Solutions, India
  • Built predictive models on ERP and MES system data for a manufacturing client, focusing on supplier-level analysis to support sourcing and production decisions.
  • Developed data pipelines for preprocessing, feature engineering, and model evaluation; documented workflows and findings to support stakeholder reporting.
August 2024
Web Development Intern
DMEX Solutions, India
  • Built and tested responsive web interfaces in HTML, CSS, and JavaScript; applied quality and performance optimisation practices for data-driven front-end integration.
September 2023 – Present
B.E. Computer Science & Engineering (CGPA: 9.26 / 10)
SNS College of Technology, Coimbatore
  • Coursework: Python, DBMS, Data Analytics, Probability & Statistics, Machine Learning
Projects

Featured Projects

A collection of my work across AI, machine learning, data analytics, and BI applications

AI Engineering
01
Latest Release
EcoSwap AI

Detects plastic from photos or webcam, shows environmental impact with emotional storytelling, and suggests sustainable alternatives - powered by Google Gemini (FREE).

JavaScriptGemini APIComputer VisionGenerative AIREST API
View Live View Code
NLP / Doc AI
02
Featured
Tendra AI

AI that reads tender documents and bids, checks every eligibility criterion, explains every verdict, and flags doubts for human review - making CRPF procurement faster, fairer, and fully auditable.

LLaMA 3FastAPIStreamlitOCRPostgreSQLDockerRedis
View Live View Code
ML / Forecast
03
CropCast AI

Analyzes historical weather and cultivation data to predict upcoming monthly conditions and provide farming recommendations. Users select a month to view predicted weather trends, suitable crops, and cultivation materials.

Random ForestGradient BoostingNASA POWER APIFlaskTime SeriesGeospatial
Demo Video View Code
Open Source

Other Projects

Deep Learning
PQPE – Predictive QoS Preemption Engine

ML system predicting 5G network congestion using LSTM on RAN telemetry data. Prioritizes first-responder bandwidth proactively rather than reactively.

LSTMPyTorch5G
Code
NLP / Regression
Legal Document Importance Prediction

Predicts importance score (0–100) of legal documents using structural and semantic features for automated prioritisation in investigations.

CatBoostTF-IDFNLP
Code
Analytics / BI
NBA Analytics Dashboard

A data analytics project that explores NBA game and player data using Python and Power BI. Features data preprocessing, EDA, feature engineering, and an interactive dashboard for visualizing team and player performance trends.

Power BIPythonEDA
Code
ML / Web App
Placement Predictor

Predicts whether a student is eligible for campus placement based on four inputs - CGPA, skill certifications, internships, and projects — using a trained Machine Learning model with an interactive web app.

scikit-learnStreamlit
Code
ML Pipeline
Customer Churn Prediction

Production-ready ML pipeline for predicting telecom customer churn and estimating revenue at risk for proactive decision-making.

scikit-learnPandas
Code
View All Projects on GitHub
Skills

Technical Skills

Data Science & ML
PythonPandasNumPySciPyscikit-learnPyTorchTensorFlowLSTMDeep LearningEDAFeature EngineeringStatistical ModellingHypothesis TestingRegression & ClassificationTime Series ForecastingAnomaly DetectionMatplotlibSeaborn
Cloud & Data Platforms
AWS S3AthenaRedshiftQuickSightSageMakerSnowflakeGoogle BigQuerySQLMySQLSQLiteMongoDBPower BITableauDAXMS Excel
Engineering & Tools
OOPDSAFlaskREST APIsGemini APIGit / GitHubWeb ScrapingAgileCI/CD (Fundamentals)
Currently Expanding
MLOps & Deployment
CI/CD for ML models, experiment tracking
LLM & Agent Systems
Building AI agents, RAG pipelines, tool-augmented LLMs
Real-time Dashboards
Streaming data & live BI pipelines
Cloud Certifications
AWS & GCP professional certs
Certifications
Certified Data Science Professional·Oracle·Oct 2025
ML Fundamentals·Databricks Academy·Oct 2025
Generative AI Fundamentals·Databricks·Sep 2025
Generative AI Foundations·AWS·Sep 2025
Writing

Blog & Insights

Exploring the mechanics of AI and data, from model internals to real-world pipelines, through clear, honest writing. Published on Medium.

Read on Medium
Contact
Let's Connect

I'm open to roles in data analytics, machine learning, BI, and data science. Based in Coimbatore, India and available now. If you're building something that needs strong data thinking, I'd like to talk.

Email jayavarshinijayakumaran11@gmail.com
GitHub @Jayavarshini-Jayakumaran
LinkedIn Jayavarshini Jayakumaran
Location Coimbatore, Tamil Nadu, India
Contact Me