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Associate Data Scientist with 1+ years in Machine Learning & Data Analysis
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Data Science professional with a background in Bioinformatics and hands-on experience in Python, SQL, Machine Learning, and Deep Learning. Skilled in data preprocessing, exploratory data analysis (EDA), feature engineering, predictive modelling, and computer vision. Experienced in building machine learning models and extracting insights from complex datasets. MG University 10th Rank Holder in MSc Bioinformatics, demonstrating strong academic excellence and analytical capability.
Union Christian College, Aluva
M.Sc. · Bioinformatics
August 1, 2021 – June 30, 2023
St. Xavier's College for Women, Aluva
B.Sc. · Chemistry
August 1, 2018 – June 30, 2021
Luminar Technolab
Data Science Intern
July 1, 2025 – Present
Kalamassery, Kerala, India
Scitel Scientific Solutions
Bioinformatics Programmer
September 1, 2023 – February 1, 2024
Kāyankulam, Kerala, India
Depression Prediction System Using Machine Learning
June 1, 2026 – Present
Developed machine learning models (KNN, SVM, Naive Bayes) to predict depression risk using structured survey datasets. Performed data preprocessing, feature engineering, and model evaluation using Scikit-learn. Compared model performance using accuracy and classification metrics. Developed a Streamlit web interface for real-time user input and prediction.
Physical Attack Detection System
June 1, 2026 – Present
Built a real-time attack detection system using YOLOv8 and Media Pipe Pose to identify weapons and aggressive human movements from live video streams. Designed a hybrid detection pipeline combining object detection and pose estimation to improve accuracy and reduce false positives. Developed a low-latency video processing solution using OpenCV, enabling efficient surveillance for smart security applications.
POWER BI - IPL Analysis Report (2008-2025)
June 1, 2026 – Present
Designed and implemented interactive Power BI dashboards to analyze IPL data from 2008-2025, covering player performance, team statistics, match outcomes, and season trends. Applied advanced DAX measures and visual storytelling to uncover insights such as top performers, winning patterns, and comparative analysis across seasons, enabling data-driven sports analytics.
Library Management System Using Python
June 1, 2026 – Present
Developed a Python-based system to manage book records, transactions, and inventory. Implemented functionalities for adding, updating, issuing, and returning books. Designed structured data handling using Python data structures for efficient record management.
POWER BI - Energy Consumption Report
June 1, 2026 – Present
Developed interactive Power BI dashboards to track and visualize organizational energy consumption trends, enabling clear monitoring of usage patterns across departments and time periods. Delivered actionable insights by integrating KPIs and advanced DAX measures, supporting data-driven decisions that reduced costs and improved energy efficiency.
Data Analysis for Biologists
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests and applications within data science, from healthcare to sports analytics and security. This diversity suggests adaptability and a willingness to explore different problem domains. The academic background in Bioinformatics, combined with practical data science skills, indicates a multidisciplinary approach. The candidate's experience level is entry-level, aligning with an 'Associate Data Scientist' role, and the skills demonstrated are relevant to the target role. The personal projects highlight initiative and self-learning, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse problems, from depression prediction to attack detection and energy consumption analysis. The academic achievement (10th Rank Holder) suggests strong analytical and problem-solving skills. The internship and previous role demonstrate an ability to apply technical skills in practical settings. However, the descriptions lack explicit mention of teamwork, communication in a professional setting, or problem-solving methodologies beyond technical implementation.