Tanish User

I’m a data-driven Computer Science Engineering student who enjoys turning raw data into usable insights and backend-powered solutions. I bring a strong foundation in Python, SQL, and data visualization, and I’m motivated by projects where analysis directly informs decisions.

In my Software Developer Intern role at Defend Air Technologies Pvt. Ltd. (Hybrid), I developed and maintained backend systems using Python and Flask for prototype-based drone initiative projects. I contributed to UAV backend logic and system design across multiple development cycles, improving development flow and reducing debugging/testing turnaround time by ~15–25% through iterative backend improvements and structured testing.

Across my projects, I focus on practical, evidence-based results. In Customer Churn Analysis, I performed EDA to identify churn drivers like contract type, payment method, and customer tenure, then visualized trends using Python (Pandas, NumPy) to support data-driven decision making. In my AI based Network Intrusion Detection System, I processed network traffic data, trained and evaluated a Random Forest model, and validated real-time intrusion detection through simulation.

I thrive in fast-paced environments and I’m energized by meaningful analytical work—whether that’s cleaning data, running exploratory analysis, building reliable backend features, or applying machine learning to real problems. I also stay curious about the SDLC cycle, Artificial Intelligence, and Operating System concepts so my engineering approach stays grounded and growth-oriented.