Trisha Debnath — Frontend Engineer

About Me

I’m Trisha Debnath, a detail-oriented software developer passionate about web development and data analysis. I thrive on designing intuitive interfaces and collaborating with teams to deliver high-quality solutions that drive business insights.

Education & Certifications

Academic Background

Bachelor of Technology

Jadavpur University, Kolkata

2023-2027

CGPA - 8.9

Higher Secondary

Basanti High School, Kolkata

2021-2023

Percentage - 85%

Certifications & Courses

LeetCode SQL 50 Badge

LeetCode

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Featured Projects

Tailorcv.comCheck out ↗

html, css, javascript, FastAPI

Designed and developed the frontend interface for an AI-powered resume optimization platform, creating responsive pages using HTML, CSS, and JavaScript for seamless user interaction.
Built intuitive UI components for resume upload, job description input, and result display, enabling users to easily interact with the backend LLM-powered system.
Integrated frontend with FastAPI backend APIs, contributing to a deployed product that attracted over 50 users within the first week of launch.

htmlcssjavascriptFastAPI

Myntra E-commerce Website CloneCheck out ↗

html, css, javascript

Developed a frontend clone of the Myntra e-commerce platform, implementing product listings, navigation components, and interactive UI using HTML, CSS, and JavaScript.
Built dynamic features such as product browsing and cart functionality using JavaScript with DOM manipulation for real-time user interactions.
Designed a responsive user interface with structured layouts and modern styling to replicate real-world e-commerce website design patterns.

htmlcssjavascript

Customer Behaviour AnalyticsCheck out ↗

Python, PowerBI, SQL, Excel

Executed end-to-end data analysis using Python (Pandas) to clean and explore 3,900 transaction records, handling inconsistent data and generating result statistics to inform business decisions.
Performed complex data querying using SQL to extract actionable insights, including identifying high-spending discount users, calculating average review ratings for top products, and comparing revenue contributions between subscribers and non-subscribers to support targeted marketing strategies.
Developed an interactive Power BI dashboard to visualize customer segments and purchasing patterns, revealing that 'Loyal' customers (3,116 individuals) generate the highest revenue and that express shipping correlates with a 3.5% higher average transaction value compared to standard shipping.
Delivered data-driven recommendations by identifying top revenue-generating age groups and 5 discount-dependent products (e.g., 50% of Hat purchases used a discount) to optimize pricing and marketing strategies.

PythonPowerBISQLExcel