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Data Science with 1+ years in AI/ML & Data Analytics
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Assessing your cultural and operational fit
Data Science postgraduate with hands-on experience in AI-powered applications, machine learning, and large-scale data analytics across banking and climate research domains. Skilled in developing intelligent solutions using RAG, OCR, Text-to-SQL, Python, and SQL to automate workflows and improve decision-making. Passionate about building scalable AI systems and transforming complex data into actionable business insights.
CHRIST (Deemed to be University)
M.Sc. in Data Science · Data Science
August 1, 2024 – June 30, 2026
St. Thomas College (Autonomous)
Bachelor of Vocation in Data Science · Data Science
August 1, 2021 – June 30, 2024
VOPAIS
Data Science Intern
January 1, 2026 – May 1, 2026
Rajasthan, India
India Meteorological Department (IMD)
Research Intern
August 1, 2025 – April 1, 2026
Pune, Maharashtra, India
LMS AI Chatbot
January 1, 2026 – June 1, 2026
Engineered an AI-powered chatbot for a Loan Management System (LMS) using RAG and Text-to-SQL architectures. Designed natural language query workflows for retrieving loan, customer, and branch-level information. Integrated OCR-enabled document processing for automated KYC data extraction and validation. Leveraged vector databases to enable semantic search across operational and policy documents. Improved response relevance through contextual query handling and retrieval optimization.
AI-Powered Project Management System
January 1, 2025 – December 31, 2025
Built a centralized platform for project tracking, task management, and team collaboration. Established role-based access controls to streamline project workflows and user management. Incorporated AI-driven video summarization for automated meeting insights and updates. Automated notification workflows to improve project monitoring and communication. Enhanced project visibility through interactive dashboards and reporting features.
Rainfall Data Analysis
January 1, 2025 – December 31, 2025
Investigated historical rainfall datasets to identify long-term climate and seasonal patterns. Performed preprocessing and validation on large-scale meteorological datasets. Executed exploratory analysis to uncover regional rainfall trends and anomalies. Generated visual reports to communicate climate insights effectively. Supported research activities through statistical analysis and data interpretation.
House Price Prediction
January 1, 2025 – December 31, 2025
Examined housing datasets to determine factors influencing residential property prices. Applied data cleaning and preprocessing techniques to prepare analytical datasets. Generated visualizations to evaluate relationships between housing features and market values. Constructed regression models for predictive house price estimation. Assessed model performance using R2 Score and Mean Squared Error (MSE).
SQL and Relational Databases 101
Unknown
June 1, 2026 – Present
Python Essentials 1
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Data Science, coupled with internships in both a research institution (IMD) and a tech company (VOPAIS), indicates a broad interest and adaptability. The projects cover diverse domains like climate analysis, loan management systems, and project management, suggesting a versatile skill set applicable to various industry needs. The use of modern AI/ML technologies aligns well with innovative, data-driven organizational cultures. The certifications in Python and SQL show a commitment to foundational technical skills. The candidate's profile suggests a good fit for organizations that value continuous learning, practical application of AI, and data-driven decision-making.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work on complex problems, automate workflows, and improve system efficiency. The focus on improving response accuracy and reducing manual efforts indicates a results-oriented approach. The academic background and diverse project types suggest adaptability and a willingness to learn and apply new technologies. However, without direct interview data, specific soft skills like teamwork, leadership, or conflict resolution cannot be definitively assessed.