Trisha Debnath AI portfolio

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Driving AI innovation and data insights through meticulous coding and analytical expertise.

Trisha Debnath's AI portfolio · answers are generated from their resume.

Trisha Debnath — Python Engineer

I'm Trisha Debnath, a detail-oriented Python Engineer passionate about optimizing processes and enhancing model accuracy. With hands-on experience in AI-driven projects and data analysis, I thrive on delivering high-quality solutions that meet user needs and drive business success.

Skills

Languages: Python
HTML
CSS
JavaScript
SQL
Frameworks/Libraries: FastAPI
NumPy
Matplotlib
Seaborn
Pandas
Databases: MySQL
PostgreSQL
Tools & Platforms: Git
Excel
Power BI
Other Technical Skills: Data Structures and Algorithms
Data Analysis

Experience

Engineering Trainee — Berger Paints 4 Jun 2026 - 4 Jul 2026

Studied the end-to-end paint manufacturing process, gaining hands-on exposure to production planning, raw material handling, process optimization, and quality control practices.
Acquired practical knowledge of procurement, inventory management, and warehouse management systems (WMS), including material sourcing, stock control, warehouse operations, and supply chain.
Analyzed manufacturing and supply chain operations by observing chemical processes, documenting key operational insights, and preparing a comprehensive technical report with process flow analysis and recommendations.

Python Engineer — Outlier May 2026 - June 2026

Analyzed AI-generated Python code fixes across 50+ GitHub repositories, evaluating frontier LLM performance using a 10-metric rubric covering correctness, reasoning, code quality, and task completion.
Identified recurring failure patterns, including hallucinations, root-cause analysis errors, incomplete implementations, and code quality issues, contributing to a 15% improvement in model accuracy.
Reviewed and annotated Python coding tasks by assessing solution correctness, reasoning quality, and adherence to best coding practices, improving the consistency and reliability of LLM evaluation.

Projects

Tailorcv

Python, FastAPI, JavaScript, PostgreSQL, HTML, CSS

Co-developed and scaled an AI resume-optimization platform to 16,000+ users across 30+ countries and 150+ daily active users, owning the full stack in Python/FastAPI on Neon PostgreSQL — ATS scoring, resume tailoring, portfolio hosting, cover letters, and AI mock interviews.
Built the core ATS scoring and resume-tailoring engine — a deterministic 100-point audit across 22 weighted checks, an AI rewrite validated against the candidate's original document to block invented employers, dates, or metrics, and PDF link-annotation recovery that preserves every project, GitHub, and certification URL intact — rendering cleanly across 22 ATS-safe templates without layout breakage.
Integrated dual payment rails to serve a global user base — Razorpay for domestic customers and Polar for international — alongside usage quotas, plan gating, and subscription lifecycle handling.
Shipped a Chrome extension that tailors resumes directly on job postings across 15 job boards (LinkedIn, Indeed, Naukri, Greenhouse, Lever, Workday), cutting per-application tailoring from ~10 minutes to under 60 seconds; automated end-to-end testing with Playwright.
Instrumented the platform for reliability and growth with Sentry error monitoring, GA4 + PostHog analytics, transactional email over SMTP, and one-click portfolio publishing to Netlify.

Myntra E-commerce Website Clone

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.

Customer Behaviour Analytics

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.

Education

Bachelor of Technology — Jadavpur University, Kolkata 2023-2027

Higher Secondary — Basanti High School, Kolkata 2021-2023

Activities & Leadership

Core Member @ Fin Club June 2024 - Jan 2026

Planned and organized workshops on investment and financial planning, engaging 100+ university students and promoting financial literacy.
Designed 10+ analytical and problem-solving challenges for technical fest competitions, contributing to events with 400+ participants.

Core Member @ E-cell Club May 2024 - Jan 2026

Co-organized national-level events, including E-Summit 2025 and Hult Prize 2025, attracting 3,500+ registrations and 800+ attendees.
Evaluated 40+ startup pitch decks, assessing business ideas, innovation, and presentation quality to support the selection of finalists and winners.

Contact: td19454@gmail.com