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Data Scientist with 1+ years in Machine Learning & AI
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Assessing your cultural and operational fit
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
Physical Attack Detection System
January 1, 2025 – 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 - Energy Consumption Report
January 1, 2025 – 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.
POWER BI - IPL Analysis Report (2008-2025)
January 1, 2025 – 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.
Depression Prediction System Using Machine Learning
January 1, 2024 – 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.
Library Management System Using Python
January 1, 2023 – 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.
Data Analysis for Biologists
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a breadth of interests within data science, including machine learning for prediction, computer vision for real-time detection, and business intelligence for reporting. This diversity suggests adaptability and a willingness to explore different domains. The target role 'Data Scientist' aligns well with the candidate's current internship and project experience. However, the experience is predominantly academic or internship-based, which might indicate a need for further development in navigating complex corporate environments and collaborating within larger, more established teams. The candidate's achievement as an 'MSc Bioinformatics 10th Rank Holder' demonstrates a strong drive for excellence and academic rigor.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from traditional ML to computer vision and data visualization. The academic background in Bioinformatics, combined with practical data science projects, suggests a methodical and analytical approach to problem-solving. The current internship role as a Data Science Intern aligns well with the target role, demonstrating a proactive attitude towards gaining relevant experience. However, the short duration of the Bioinformatics Programmer role and the current internship being ongoing limit the assessment of long-term operational fit and sustained performance in a professional setting.