I am Kevin Fannex, a 2026 graduate with a B.Tech in Artificial Intelligence and Data Science from Mohamed Sathak A.J. College of Engineering. During my studies, I completed a Data Science internship at Revamp Academy, where I designed ETL pipelines, performed data cleaning and transformation, and developed machine learning models using Python, SQL, and Scikit-learn. My projects include building an end-to-end ETL pipeline for banking credit risk analysis and developing a house price prediction model with an R² score of 0.65. I am proficient in Python, SQL, ETL/ELT pipelines, data modeling, and PostgreSQL. I am now seeking my first full-time role as a Data Engineer to build scalable data pipelines and grow my expertise in Databricks, Apache Spark, and data lakehouse architecture.
Experience
Data Science Intern
Revamp Academy
June 2025 – Sept 2025 · Chennai, India
Built ETL workflows and data pipelines for 5+ project datasets, transforming raw data into structured, analysis-ready datasets using Python, pandas, NumPy, and SQL. Improved data quality across 5+ datasets through data cleaning, preprocessing, validation, and feature engineering to support analytics and machine learning workflows. Designed SQL queries and PostgreSQL workflows to extract, transform, and analyze structured data for reporting and data-driven decision-making.
Education
Mohamed Sathak A.J. College of Engineering
B.Tech in Artificial Intelligence and Data Science
2022 – 2026 · Grade: 8.4/10
Projects
Banking Credit Risk Analysis
Python
SQL
PostgreSQL
Power BI
Built an end-to-end ETL pipeline to extract, clean, transform, and load structured banking data into PostgreSQL for downstream analytics. Performed data validation and quality checks by handling missing values, duplicates, and inconsistencies to produce analysis-ready datasets.
Certifications
Data Science & Analytics
Revamp Academy
Data Analytics Foundations
Google
Business Intelligence
IBM
Achievements
Hackathon Coordinator - Project X – 24-Hour Hackathon
2025
Coordinated participants, event operations, and cross-team collaboration for a 24-hour college hackathon held with IBM Cloud, DigiLabs, and Star Systems.
Kevin Fannex
B.Tech Artificial Intelligence and Data Science graduate from Mohamed Sathak A.J. College of Engineering
TamilNadu
About
I am Kevin Fannex, a 2026 graduate with a B.Tech in Artificial Intelligence and Data Science from Mohamed Sathak A.J. College of Engineering. During my studies, I completed a Data Science internship at Revamp Academy, where I designed ETL pipelines, performed data cleaning and transformation, and developed machine learning models using Python, SQL, and Scikit-learn. My projects include building an end-to-end ETL pipeline for banking credit risk analysis and developing a house price prediction model with an R² score of 0.65. I am proficient in Python, SQL, ETL/ELT pipelines, data modeling, and PostgreSQL. I am now seeking my first full-time role as a Data Engineer to build scalable data pipelines and grow my expertise in Databricks, Apache Spark, and data lakehouse architecture.
Experience
Data Science Intern
June 2025 – Sept 2025
Revamp Academy, Chennai, India
Built ETL workflows and data pipelines for 5+ project datasets, transforming raw data into structured, analysis-ready datasets using Python, pandas, NumPy, and SQL. Improved data quality across 5+ datasets through data cleaning, preprocessing, validation, and feature engineering to support analytics and machine learning workflows. Designed SQL queries and PostgreSQL workflows to extract, transform, and analyze structured data for reporting and data-driven decision-making.
Education
Mohamed Sathak A.J. College of Engineering
2022 – 2026
B.Tech in Artificial Intelligence and Data Science · Grade: 8.4/10
Projects
Banking Credit Risk Analysis
Python, SQL, PostgreSQL, Power BI
Built an end-to-end ETL pipeline to extract, clean, transform, and load structured banking data into PostgreSQL for downstream analytics. Performed data validation and quality checks by handling missing values, duplicates, and inconsistencies to produce analysis-ready datasets.
Skills
Python
SQL
ETL/ELT Pipelines
Data Ingestion
Data Transformation
Data Cleaning
Data Validation
Data Quality
Data Modeling
Batch Processing
PostgreSQL
MySQL
pandas
NumPy
Exploratory Data Analysis (EDA)
Feature Engineering
Scikit-learn
Regression
Classification
Model Evaluation
Power BI
Tableau
Git
GitHub
Jupyter Notebook
Certifications
Data Science & Analytics
Revamp Academy
Data Analytics Foundations
Google
Business Intelligence
IBM
Achievements
Hackathon Coordinator - Project X – 24-Hour Hackathon
2025
Coordinated participants, event operations, and cross-team collaboration for a 24-hour college hackathon held with IBM Cloud, DigiLabs, and Star Systems.
Mock interviews on readyforhires
SQL & Databases (Beginner)Best 25%
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