Final-year Artificial Intelligence and Data Science student passionate about transforming data into meaningful insights and building intelligent solutions using Machine Learning, Deep Learning, NLP, Generative AI and Data Analytics.
A little introduction about myself
I am Vijay Bhagwat Nagargoje, a B.Tech student specializing in Artificial Intelligence and Data Science at Maharashtra Institute of Technology, Chhatrapati Sambhajinagar.
My technical interests include Machine Learning, Statistical Analysis, Natural Language Processing, Generative AI, Data Visualization and Data Engineering.
I have worked on practical projects involving real-time environmental monitoring, weather ETL pipelines, predictive analytics and NLP applications.
I also secured 1st Place at the IoT Arena Hackathon for developing a BLE and facial-recognition-based Smart Attendance System.
B.Tech - AI & Data Science
8.17 / 10
Chhatrapati Sambhajinagar, Maharashtra, India
Data Science / Data Analytics / AI & ML
Technologies and tools I work with
Python, Pandas, NumPy, Scikit-learn, EDA, Statistical Analysis, Feature Engineering, Regression, Classification, SVM, Naive Bayes.
Transformers, BART, PEGASUS, T5, Longformer, NLP, OCR, Model Evaluation.
GPT-4o, Google Gemini, DeepSeek R1, Prompt Engineering, RAG, Conversational AI.
Power BI, Power Query, DAX, Matplotlib, Seaborn, Star Schema Modeling.
SQL, MySQL, Snowflake, ETL Pipeline Design, REST API Integration.
AWS, Oracle OCI, Google Cloud Basics, Docker, Git, GitHub, Linux, Streamlit, Flask.
Some of my practical development and research work
Developed an end-to-end weather ETL pipeline using live weather API integration across six cities in Maharashtra. Built a star-schema model and 17 custom DAX measures.
View on GitHubBuilt an IoT environmental monitoring solution using ESP32, DHT11 and MQ-135 sensors. Integrated a REST API with a Streamlit dashboard for real-time environmental analytics.
View on GitHubDeveloped a smart attendance prototype combining Bluetooth Low Energy proximity sensing with facial-recognition verification. Secured 1st Place at IoT Arena Hackathon.
1st Place - IoT Arena HackathonAnalyzed LinkedIn Data Analyst job postings using NLP and supervised machine learning to predict whether Python is a required skill.
NLP & Predictive AnalyticsCreated a Streamlit application using an SVM classifier to predict diabetes risk using the Pima Indians dataset, with probability gauges and model explanations.
Machine Learning ApplicationDeveloped a fake-news classification model using TF-IDF feature extraction and a classical machine learning baseline.
Text ClassificationBenchmarked abstractive text summarization models including BART, PEGASUS, T5 and Longformer, evaluating performance with ROUGE and BERTScore.
AI Internship ProjectTrained a Multinomial Naive Bayes classifier for supervised text classification and spam identification.
Machine Learning & NLPMy professional journey
Academic background and professional learning
Maharashtra Institute of Technology (MIT)
B.Tech - Artificial Intelligence & Data Science
August 2024 - July 2027 (Expected)
CGPA: 8.17 / 10.0
MIT Polytechnic
Diploma - Artificial Intelligence & Machine Learning
October 2021 - June 2024
Percentage: 77.61%
Milestones and contributions
Hackathon winner at MGM University, March 2025.
State-Level C Programming Competition, MIT.
Mentored 45+ students and coordinated Snowflake events.
Conducted C Programming and GitHub sessions for 200+ students.
Core Council Member and Technical Co-lead, 2026-2027.
Coordinated a two-day Deep Learning workshop for 100+ students.