I'm Vijay Bhagwat Nagargoje, a final-year B.Tech student in Artificial Intelligence & Data Science at Maharashtra Institute of Technology, Chh. Sambhajinagar, with a CGPA of 8.17/10.
I enjoy turning data into useful insights and building practical AI/ML applications. My experience spans machine learning pipelines, statistical analysis, NLP and transformer-based systems, as well as BI and ETL workflows using Power BI and Snowflake.
- 🎓 Education: B.Tech in Artificial Intelligence & Data Science
- 📊 CGPA: 8.17/10
- 💼 Experience: AI Intern at SVM
- 🏆 Achievement: 1st Place, IoT Arena Hackathon
- 👨🏫 Community: Mentored 45+ students in Snowflake learning activities
- 🎯 Career Interest: Data Science, Machine Learning and Data Analytics opportunities
| Category | Technologies |
|---|---|
| Programming | Python, SQL, JavaScript |
| Data Analysis | Pandas, NumPy, Statistical Analysis, EDA |
| Machine Learning | Scikit-learn, Regression, Classification, SVM, Naive Bayes |
| Deep Learning & NLP | Transformers, BART, PEGASUS, T5, Longformer, OCR |
| Generative AI | GPT-4o, Google Gemini, DeepSeek R1, RAG, Prompt Engineering |
| Visualization | Power BI, Matplotlib, Seaborn, DAX, Power Query |
| Databases | MySQL, Snowflake, SQL |
| Data Engineering | ETL Pipelines, REST API Integration, Data Warehousing |
| Cloud & Tools | AWS, Oracle Cloud, Google Cloud, Docker, Git, GitHub, Linux |
| Frameworks | Streamlit, Flask |
July 2025 – August 2025 | Remote
- Implemented and benchmarked abstractive text-summarization models using BART, PEGASUS, T5 and Longformer.
- Designed reproducible ML pipelines with documented preprocessing, hyperparameters and training configurations.
- Evaluated summarization performance using ROUGE and BERTScore.
- Built model-performance visualizations using Matplotlib and Seaborn.
- Prepared IEEE-format research write-ups, diagrams and presentations.
- Maintained version-controlled documentation using GitHub.
June 2023 – July 2023 | Remote
- Engineered and maintained a MySQL relational database for a client-facing web platform.
- Managed and supported reliable data interaction and retrieval across 100+ records.
May 2026
- Built an end-to-end ETL workflow using live weather API data across six cities in Maharashtra.
- Used Power Query (M) to extract, clean and flatten nested JSON responses.
- Designed a star-schema semantic model with bi-directional cross-filtering.
- Created 17 custom DAX measures, including AQI health-band categorization.
Technologies: Power BI, Power Query, DAX, ETL, Weather API.
- Explore my Python-based air-quality monitoring project.
- View the implementation, dataset and analysis directly in the repository.
Technologies: Python, Data Analysis.
May 2025
- Scraped and cleaned Data Analyst job postings from LinkedIn.
- Applied NLP and supervised machine learning to predict whether Python was required for a job.
- Combined prompt-engineering-assisted feature extraction with statistical analysis and visualization to explore labour-market patterns.
2026
- Developed a Streamlit application to predict diabetes risk using the Pima Indians dataset.
- Trained an SVM classifier.
- Presented predictions with probability gauges and model explanations.
2026
- Built a fake-news classification model using TF-IDF features and a classical machine-learning baseline.
- Documented feature-engineering decisions and model-evaluation trade-offs.
May 2025
- Applied data-science techniques to a healthcare dataset to predict COVID-19 likelihood.
- Developed Python notebooks for data cleaning, exploratory data analysis and model building.
2024
- Trained a Multinomial Naive Bayes classifier on a supervised text-classification dataset.
- Designed the workflow with potential integration into web and messaging platforms in mind.
March 2025 | 🏆 1st Place — IoT Arena Hackathon
- Built a smart-attendance prototype combining Bluetooth Low Energy (BLE) proximity sensing with facial-recognition verification.
- Secured 1st Place at the IoT Arena Hackathon, JNEC (MGM University).
B.Tech — Artificial Intelligence & Data Science
August 2024 – July 2027 (Expected)
- CGPA: 8.17/10
- Relevant Coursework: Machine Learning, Deep Learning, Data Structures & Algorithms, DBMS, Applied AI, Data Analytics, Prompt Engineering (Honors), Research Methodology.
Diploma — Artificial Intelligence & Machine Learning
October 2021 – June 2024
- Percentage: 77.61%
- NVIDIA — Fundamentals of Deep Learning
- NVIDIA — Building Transformer-Based NLP Applications
- NVIDIA — Building LLM Applications with Prompt Engineering
- Oracle — Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
- Microsoft — AZ-901
- NPTEL (IIT Madras) — Python for Data Science
- IBM / Cognitive Class — Getting Started with Artificial Intelligence
- IBM / Cognitive Class — Statistics 101
- IBM / Cognitive Class — Python for Data Science
- Snowflake / DataCamp — Introduction to Snowflake
- Snowflake / DataCamp — Introduction to Snowflake SQL
- Kaggle — Python, Pandas, Intro to Machine Learning
- Coursera — Tweet Emotion Recognition with TensorFlow
- Udemy — Power BI 101: Microsoft Power BI Essentials
- 🥇 1st Place — IoT Arena Hackathon, MGM University (March 2025).
- 🥉 3rd Place — State-Level C Programming Competition, MIT.
- Snowflake Mentor (2026): Mentored 45+ students and coordinated Snowflake learning events.
- IGNITE Student Association — Core Council Member (2026–Present): Contribute to internal tooling and event planning.
- MIT-CSN Coding Club — Session Lead (2024–2025): Led sessions on C programming and GitHub workflows.
- NVIDIA Workshop: Coordinated a two-day hands-on workshop on Deep Learning.
I'm interested in opportunities and collaborations involving Data Science, Machine Learning, NLP, Generative AI and Data Analytics.
📧 Email • LinkedIn • GitHub • Portfolio