About

I am Gokul S, a B.Tech graduate in Artificial Intelligence & Data Science from Kongunadu College of Engineering and Technology, class of 2025. During my studies, I completed a Data Analyst Internship at Tata iQ, where I worked on financial datasets and developed predictive models. I also built several projects, including a full-stack AI Business Assistant and an NLP-based complaint classification system, using Python, Java, React, and REST APIs. My strongest skills include full-stack development, data analysis, and machine learning. I am now seeking my first full-time role as a Software Engineer to apply my technical expertise and contribute to impactful projects.

Experience

1. Data Analyst Intern

   Data Analytics Job Simulation on Forage (Remote) · Financial Services – Tata iQ

   Aug 2025 – Oct 2025

   Analyzed customer financial datasets using SQL and Excel, identifying risk patterns and structuring findings into a data-driven modeling brief. Built a feature-logic framework for a predictive scoring model, defining evaluation criteria and thresholds. Designed an automated decision-flow for a collections strategy, incorporating compliance checkpoints for production readiness. Delivered a structured data quality report identifying gaps across three workstreams, with documented preprocessing recommendations.

Education

1. Kongunadu College of Engineering & Technology, Trichy

   B.Tech – Artificial Intelligence & Data Science

   2021 – 2025 · Grade: 7.6 / 10

2. Government Higher Secondary School

   Class XII (HSC)

   2021 · Grade: 73%

3. Sunshine Academy Matric Higher Secondary School

   Class X (SSLC)

   2019 · Grade: 67%

Projects

• AI Business Assistant – Full-Stack Web Platform

  • React
  • Express.js
  • REST API
  • Gemini AI

  Built a full-stack web application with a React front end and an Express.js REST API backend, integrating a third-party AI service for business analytics. Designed secure server-side API integration with input validation and rate-limiting for reliable request handling.

• Customer Complaint Classification and Routing System 2026

  • Python
  • Pandas
  • Scikit-learn
  • TF-IDF
  • NLP
  • Linear SVM

  Developed an NLP-based machine learning system to classify consumer financial complaints into 9 categories using the CFPB Consumer Complaint Database. Preprocessed complaint narratives, handled missing values and duplicates, and created a balanced dataset of 63,000 records for model training.

Certifications

• IT Specialist – Python

  Certiport (Pearson VUE Business) · 2023

• HackerRank SQL Problem Solving

  HackerRank

• Bot-Battle Intra College Hackathon | 4th Place – Built fake news detection chatbot on a live on-spot problem statement

  Bot-Battle Intra College Hackathon

Achievements

• IT Specialist – Python

  2023

  IT Specialist – Python | Certiport (Pearson VUE Business)

• HackerRank SQL Problem Solving

  2023

  HackerRank SQL Problem Solving | Global Rank: 1,234,819

• Bot-Battle Intra College Hackathon

  2023

  Bot-Battle Intra College Hackathon | 4th Place – Built fake news detection chatbot on a live on-spot problem statement