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Data Analyst with 1+ years in Machine Learning & AI
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Results-driven Data Analyst with 1+ year of professional experience delivering data-driven insights across climate finance, electoral analytics, and agricultural AI domains. Proven expertise in end-to-end machine learning model development, deep learning (CNN, neural networks), time series analysis, NLP, and statistical modeling (SPSS, AMOS). Proficient in Python, SQL, Power BI, and Tableau; skilled at transforming complex raw datasets into actionable business intelligence and research outcomes. Track record of proposing novel algorithms that outperform baseline models and co-authoring journal-level research documentation.
Gobi Arts and Science College, Bharathiar University
B.Sc. Computer Science · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2025
Shree Gurukulam Higher Secondary School
Higher Secondary Certificate (XII Standard)
N/A – May 31, 2022
Asyle Data Solutions
Data Analyst / Research Analyst
January 1, 2025 – Present
Coimbatore, Tamil Nadu, India
Climate Finance Analysis & Prediction
June 23, 2026 – Present
Analyzed large-scale climate finance datasets (10,000+ records) to identify funding trends, investment patterns, and systemic risk factors across global markets. Proposed and implemented a novel hybrid algorithm combining regression modeling and ML classification, improving climate funding allocation prediction accuracy vs. baseline models. Built interactive data visualizations and stakeholder reports using Python (Pandas, Matplotlib, Seaborn) and Power BI, enabling data-driven policy recommendations.
Voter Prediction - Kerala Elections
June 23, 2026 – Present
Built a voter behavior prediction model using historical voting data, demographic features, and socio-economic indicators to forecast electoral outcomes at constituency level. Proposed a novel ensemble learning algorithm (stacking + boosting) that outperformed all baseline models, achieving high precision-recall on held-out test sets. Applied NLP techniques (sentiment analysis, TF-IDF, word embeddings) on public textual data to augment prediction performance with real-world public opinion signals.
Plant Disease Detection Using Deep Learning
June 23, 2026 – Present
Designed a CNN-based plant disease detection system using OpenCV achieving high classification accuracy across leaf conditions (rust, blight, healthy) on benchmark datasets. Integrated real-time camera feed processing pipeline enabling on-field timely detection, reducing disease identification latency for agricultural stakeholders. Stored and managed detection results and model metadata in MongoDB for longitudinal tracking and future re-training analysis.
HTML, CSS & JavaScript - Web Development Fundamentals
Unknown
June 1, 2026 – Present
Data Science Internship - Teachvolt Software Company
Teachvolt Software Company
June 1, 2026 – Present
Python Programming Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (climate finance, electoral analytics, plant disease detection) indicates adaptability and a broad interest in applying data science to various domains. Their experience as a 'Research Analyst' aligns well with roles requiring analytical depth and a proactive approach to problem-solving. The breadth of technical skills, including both traditional statistical methods and advanced deep learning, suggests a continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the development of novel algorithms and addressing complex analytical challenges. Their experience in collaborating with cross-functional teams indicates good teamwork and communication. The ability to manage logistics and operations datasets with a focus on data quality suggests attention to detail and operational rigor.