I am a Master of Applied Computer Science graduate from Concordia University specializing in Data Analytics and Artificial Intelligence. I specialize in building end-to-end data solutions—from optimizing complex SQL queries to training Deep Learning models and crafting interactive Power BI dashboards.

I bring over 2.5 years of technical experience across data analyst internships and academic leadership roles, combining high-level engineering with a passion for data-driven storytelling.

Engineered a modular multi-agent system (General, AI, Admissions) using dynamic routing and Reinforcement Learning.

• Key Tech: Python, LangChain, Ollama (Mistral), FastAPI, FAISS, Wikipedia API
• Innovation: Implemented a Q-learning algorithm to optimize LLM parameters in real-time. Features a self-correcting feedback loop and FAISS for semantic retrieval.

Developed a Deep Learning model to classify emotional states with high precision.

• Key Tech: TensorFlow, CNN, OpenCV, Python, Matplotlib
• Innovation: Augmented the FER2013 dataset with 1,500+ custom-scraped images. Applied HAAR Classifiers and Unsharp Masking for preprocessing, achieving 70% accuracy.

Developed a suite of 3 dashboards tracking loan portfolio performance for a major financial institution.

• Key Tech: SQL, Power BI, DAX, Excel, Data Modeling
• Impact: Engineered complex SQL queries and DAX measures for real-time KPI monitoring. Achieved visibility into 'Good' vs 'Bad' loan segmentation by DTI ratios and trend forecasting.

Built a 10,000+ LOC game engine utilizing MVC pattern and SOLID principles for modularity.

• Key Tech: Java, JUnit 5, Maven, Java Swing, Design Patterns (Strategy, Observer, Builder)
• Innovation: Engineered 4 distinct AI player modes using the Strategy Pattern. Integrated custom Map Editor and Java Serialization for robust state management.

Montreal, Canada | 2024 – 2025

• Mentored 100+ undergraduate students in Database Management Systems (COMP 353) and Data Structures & Algorithms.
• Facilitated technical labs focused on SQL optimization, relational algebra, and complex algorithm analysis.

India | 2022 – 2023

• Streamlined data collection processes and developed automated reporting dashboards using Power BI and Excel.
• Performed exploratory data analysis (EDA) to identify manufacturing bottlenecks, improving operational efficiency by 15%.

India | 2021 – 2022

• Assisted in managing relational databases and performing data validation for client-facing web applications.
• Leveraged SQL and Python to clean and transform raw data into actionable business reports.

• M.S. in Applied Computer Science | Concordia University, Montreal 🇨🇦
• Bachelor's in Computer Science | Gujarat Technological University 🇮🇳