Data Science with 2+ years in AI-driven financial analytics & predictive modeling
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Data Science professional with hands-on experience in AI-driven financial analytics, predictive modeling, credit risk analysis, and machine learning using Python and SQL. Skilled in EDA, feature engineering, data visualization, and transforming structured datasets into actionable business insights. Experienced in developing credit scoring and risk assessment models for financial analytics use cases. Strong analytical and problem-solving abilities with a keen interest in data-driven decision-making and AI solutions. Open to relocation to Dubai/UAE.
Kalasalingam University
B.Tech · Computer Science and Engineering
August 1, 2012 – June 30, 2016
Zetheta Algorithms Private Limited
AI Internship
February 1, 2026 – April 1, 2026
India
Cognifyz Technologies
Data Science Intern
July 1, 2025 – Present
India
Wipro Technologies
SharePoint Support Analyst
December 1, 2016 – November 1, 2017
India
Leaf Type Visualization - PCA
June 24, 2026 – Present
Applied PCA to reduce high-dimensional leaf features while retaining maximum variance. Visualized class separability using 2D PCA scatter plots.
Restaurant Data Analysis & Predictive Modeling
June 24, 2026 – Present
Analyzed 10k+ structured restaurant records using Python for EDA and feature engineering. Built and evaluated predictive models and performed geospatial analysis using scikit-learn and Folium. Generated actionable insights from data to support decision-making.
MNIST Digit Classification - CNN
June 24, 2026 – Present
Designed and trained a CNN using TensorFlow and Keras with ReLU, max-pooling, and dropout. Achieved 97%+ test accuracy, demonstrating strong generalization.
Advertisement Sales Prediction - Logistic Regression
June 24, 2026 – Present
Built a sales prediction model using Logistic Regression on advertising data. Improved model accuracy to 80% through feature scaling and hyperparameter tuning. Evaluated performance using confusion matrix, precision, recall, and F-1 score.
Artificial Intelligence & Machine Learning
LITZ Tech, Coimbatore
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including academic and professional projects in areas like financial analytics, restaurant data, and image classification, indicates a broad interest in data science applications. The stated openness to relocation to Dubai/UAE suggests flexibility. The experience as an AI intern and Data Science intern aligns well with a target Data Science role, demonstrating a clear career path focus. However, the overall experience level (2 years) is relatively junior for a senior role, which might impact cultural fit for a highly experienced team.
Soft Skills & Operational Fit
The candidate's profile highlights strong analytical and problem-solving abilities, with a keen interest in data-driven decision-making. The project descriptions indicate an ability to work on structured datasets and generate actionable insights. The previous SharePoint support role suggests experience in technical support and collaboration, which could translate to good team interaction, though direct evidence of communication and collaboration in data science contexts is limited.