Delivered 20+ custom software solutions for clients across e-commerce, healthcare, and finance sectors using Python, SQL, HTML, and CSS.
Improved client project delivery timelines by 30% by introducing automation and optimizing development workflows.
Operated in a startup-style environment with shifting priorities and tight delivery timelines.
• Conducted a study on identifying and categorizing depression severity levels using statistical data
analysis and pattern recognition techniques.
• The research involves data collection, preprocessing (cleaning, encoding, correlation analysis, and
categorization), and model development to classify depression severity based on structured inputs.
• Built a Python desktop app to simplify billing, inventory tracking, and bill creation for small
businesses, boosting efficiency.
• Added real-time inventory updates, auto-calculated bills, and customizable invoices using tools
like Tkinter for the interface and SQLite for data storage.
This application assists in tracking daily expenses, managing budgets, and generating reports.
I am a tech enthusiast and problem solver. With a passion for coding and innovation, I'm constantly seeking ways to push the boundaries of technology. When I'm not immersed in lines of code, you can find me reading a book, playing chess, or seeking inspiration in the beauty of nature.
