Navi Mumbai, India • B.Tech in Computer Engineering (Data Science Minor) @ RAIT (CGPA: 9.52/10)
-
ML-based crop recommendation with ~35% accuracy improvement
-
Integrated leaf disease & fruit classification in a Flutter app (TensorFlow Lite)
-
Mobile-first UX with real-time inputs; ~95% offline operability
-
Flask + PyTorch-based steganalysis demo for PNG images
-
Detects LSB payloads (HTML, JS, PS) and “clean” images via deep neural networks
-
Includes binary stego detection and multi-class payload classification
-
Fast feature extraction and real-time web visualization
- Natural language → SQL (Flask) with ~85% accurate query generation
- Responsive UI + real-time suggestions; reduced query time by ~40%
- Enabled 100+ successful SQL executions
- Engineered a word sense disambiguation system using Lesk algorithm with Python and NLTK.
- Dockerized Flask service with a real-time feedback loop
- ~18% improvement in sense disambiguation accuracy
Data Analyst Intern @ KasNet Technologies Pvt Ltd. (April 2024 – July 2024)
- Gained hands-on experience in SQL and Python for improving data handling and basic script writing
- Generated dashboard and reports using Power BI for data visualization and analysis
- Applied Machine Learning techniques to build simple predictive models and understand data trends
Languages: Java, Python, SQL, NoSQL
Frameworks/Libraries: sklearn, Flask
Databases: MySQL, MongoDB
Tools: Git, GitHub, Power BI, Postman
Technologies: Machine Learning, Artificial Intelligence, Deep Learning, OOPs
Cloud: AWS (IAM, EC2, S3)
- Microsoft Azure Fundamentals (AZ-900)
- AWS: AWS Academy Cloud Architecting
- Oracle Cloud – Generative AI (OCI 2024)
- IBM – Introduction to SQL
- NPTEL – Data Science for Engineers
- Design Head (ex-Co-Head), CSI-RAIT — led design for 4+ major conclaves & Techfest branding
- Research talks & publications (ICETS 2025, ICSSR 2024, IRJCS)
- NSS volunteer; Content creator (coding tutorials)
- Portfolio/Links: LinkedIn • GitHub
- Reach me: gunjankumarchoudhari@gmail.com