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  • Shivamogga, Karnataka, India
  • 17:21 (UTC +05:30)
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thejasdev/README.md

🟣 About Me

I'm a final-year B.E-CSE (Data Science) student at JNNCE, Shivamogga, focused on turning data into decisions — from deep-learning medical imaging systems to NLP-driven productivity tools. My engineering approach blends:

  • 🔬 AI/ML Engineering — CNN hybrids, swarm-optimized architectures, explainable AI (Grad-CAM)
  • 📊 Data Science & Analytics — EDA, statistical reasoning, SQL, BI storytelling
  • 🛠️ Full-Stack Prototyping — Streamlit apps wired to LLM APIs for real-world tools
  • 🎯 Product Engineering Mindset — shipping usable, explainable systems, not just notebooks

Open To: Data Analyst / Data Scientist roles · ML Engineering internships · Research collaborations in medical imaging & GenAI

🟣 Tech Stack

Languages Python SQL

Data & ML NumPy Pandas Scikit--learn TensorFlow Matplotlib

Frontend Streamlit

Backend & APIs Google Gemini spaCy NLTK

Cloud, DevOps & Tooling Git GitHub VSCode Kaggle

🟣 AI / ML Expertise

Domain Proficiency Details
Deep Learning (CNNs) ⭐⭐⭐⭐ Hybrid GoogleNet/ResNet architectures, custom CNN pipelines
Optimization Algorithms ⭐⭐⭐ Adaptive Particle Swarm Optimization (APSO) for hyperparameter tuning
Explainable AI ⭐⭐⭐⭐ Grad-CAM visual explainability for medical imaging models
NLP ⭐⭐⭐ spaCy/NLTK pipelines, resume parsing & entity extraction
GenAI / LLM APIs ⭐⭐⭐ Google Gemini API integration for applied tools
Statistical Analysis ⭐⭐⭐ EDA, hypothesis-driven analytics

🟣 Featured Projects

🩺 APSO-GRESNET — Diabetic Retinopathy Severity Grading

Five-class diabetic retinopathy severity-grading system built on the APTOS 2019 dataset, using a hybrid GoogleNet/ResNet architecture (GRESNET) tuned via Adaptive Particle Swarm Optimization, with Grad-CAM for clinical explainability. Built as a four-member final-year team project.

Stack Scale Performance Explainability Impact Repository
Python, TensorFlow, APTOS 2019 5-class severity grading Hybrid CNN + APSO tuning Grad-CAM heatmaps Clinical-decision-support prototype View Repo
📄 Smart AI Resume Analyzer

An AI-powered resume analysis tool combining classical NLP with LLM reasoning — parses resumes, extracts structured entities, and generates intelligent feedback via the Gemini API, wrapped in a Streamlit interface.

Stack Scale Performance Security Impact Repository
Python, Streamlit, spaCy, NLTK, Gemini API Single-resume deep analysis LLM-augmented NLP feedback Local processing Recruiter-style resume feedback tool View Repo
📈 NumPy-Zero-To-Hero — DA Skill-Building Repository

A structured, self-driven learning repository covering NumPy fundamentals through advanced usage, built with daily-commit discipline as the foundation of a broader Data Analyst roadmap (Pandas → SQL → Visualization → Statistics → BI → ML/GenAI).

Stack Scale Performance Impact Repository
Python, NumPy, Jupyter 500+ practice problems Structured curriculum Daily contribution streak View Repo

🟣 Experience

Data Science & Analytics Intern · Future Interns Jul 2026 – Aug 2026

Virtual internship focused on applied data science and analytics deliverables.

  • Completed portfolio-oriented tasks published on GitHub
  • Worked in parallel with placement-focused upskilling

Data Analysis Python Git

🟣 Achievements

Recognition Details
Academic Performance CGPA 8.93 in B.Tech CSE (Data Science)
Final-Year Project Led technical build of APSO-GRESNET DR-grading system

🟣 Certifications

Mongo DB

  • Mongo DB For Students.
  • AI Data Strategy with Mongo DB.
  • AI Agents with Mongo DB.
  • RAG with Mongo DB.
  • vector Search Fundamentals.

IBM SkillsBuild

  • Artificial Intelligence Fundamentals.

Forage

  • Gen AI Powered Data Analytics (TATA Groups).
  • Deloitte's Data Science Course.
  • British AirWays's Data Analytics.

🟣 Current Focus

Learning:
  - SQL for Analytics
  - Statistics for Data Science
  - GenAI / LLM Engineering
Building:
  - Hands On Projects 
  - NumPy → Pandas → SQL → Visualization roadmap projects
  - Applied DA/DS portfolio for campus placements
Exploring:
  - AWS Cloud for ML deployment
  - Power BI for business storytelling
Open To:
  - Data Analyst / Data Scientist roles
  - ML research collaborations

🟣 Connect

Gmail LinkedIn GitHub

"Turning data into decisions, one model at a time."

Pinned Loading

  1. NumPy---Zero-To-Hero NumPy---Zero-To-Hero Public

    A structured learning repository documenting my journey from beginner to advanced in NumPy, covering core concepts, practical examples, and problem-solving using Jupyter Notebooks.

    Jupyter Notebook

  2. Diabetes-Prediction-ML-Project Diabetes-Prediction-ML-Project Public

    End-to-end Machine Learning project for diabetes prediction using Python, Scikit-learn, and Streamlit with real-time user input and deployment.

    Jupyter Notebook