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Data Engineer with less than a year in Python & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with expertise in Python, machine learning, and data analytics. Experienced in building data pipelines and implementing predictive models using Scikit-learn and Pandas. Strong foundation in data preprocessing, feature engineering, and statistical analysis with proven ability to extract actionable insights from large datasets.
Thanthai Periyar Government Institute of Technology
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
The American College
Bachelor of Commerce (BCom)
August 1, 2019 – June 30, 2022
IPL Match Prediction System
January 1, 2025 – December 31, 2025
Developed end-to-end machine learning pipeline to predict IPL cricket match outcomes using historical match data. Performed data preprocessing and feature engineering including team metrics, venue statistics, and player form indicators. Implemented classification algorithms achieving reliable prediction accuracy with interactive Streamlit web application. Created data visualizations and analytical dashboards to communicate insights and model performance metrics.
Banking Application
January 1, 2025 – December 31, 2025
Designed relational database schema for banking operations with optimized table structures and relationships. Developed efficient SQL queries and stored procedures for transaction processing and account management. Applied JDBC for database connectivity with proper connection pooling and transaction management.
Cricket Analytics & Predictive Modeling
January 1, 2025 – November 30, 2025
Conducted exploratory data analysis on IPL datasets to identify patterns, trends, and correlations in match outcomes. Applied statistical techniques and built feature engineering pipeline for meaningful predictive variables. Evaluated multiple machine learning algorithms and selected optimal model based on performance metrics.
Java Full Stack Application Development
Innovel Institution
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in data science and machine learning, aligning well with a data-driven culture. The diversity of projects (sports analytics, banking) indicates a broad interest in applying data engineering principles across different domains. The pursuit of a Master's degree and a full-stack certification suggests a proactive learning attitude, which is a positive cultural indicator. However, the lack of professional experience means there's no direct evidence of collaboration in a corporate setting.
Soft Skills & Operational Fit
The candidate's projects demonstrate strong analytical and problem-solving skills, particularly in handling complex datasets. The ability to adapt to new tools and technologies is noted, which is beneficial for operational fit. However, without psychometric or English test scores, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.