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Data Analyst with 1+ years in data validation, sales trend analysis, and AI/GenAI tools.
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Statistics graduate (MSc, 2026) and Data Analyst with hands-on experience in data validation, client communication, sales trend analysis, and KPI monitoring via Tableau and Kibana. Proficient in Python and SQL with a strong foundation in probability and statistical modelling. Keen to leverage AI/GenAI tools and analytical skills in a Business Analyst role within the insurance domain.
Christ (Deemed to be University)
MSc · Data Analytics
August 1, 2024 – June 30, 2026
Mar Athanasius College, Mahatma Gandhi University
BSc · Statistics
August 1, 2021 – June 30, 2024
Bydek
Associate Analyst - Technology Operations (L1)
June 1, 2025 – Present
Bengaluru, Karnataka, India
Sport Injury Prediction Using Machine Learning
January 1, 2026 – January 1, 2026
Built a Random Forest model to classify injury risk in soccer players - paralleling risk assessment in insurance underwriting. Designed an interactive UI for non-technical stakeholders to explore predictions.
Movie Recommendation System Using NLP
December 1, 2025 – December 1, 2025
Applied NLTK-based NLP to analyse unstructured text and generate content-based recommendations via an AI-augmented workflow.
Investment Preferences Analysis Dashboard
June 1, 2025 – June 1, 2025
Performed Exploratory Data Analysis (EDA), Data Cleaning, Statistical Analysis, and Demographic Segmentation to analyse investor behaviours, savings objectives, risk appetite, and investment preferences. Developed an interactive Power BI Dashboard utilizing Data Visualization, Business Intelligence (BI), KPI Reporting, Trend Analysis, Financial Analytics, and Reporting Automation to generate actionable insights and support data-driven decision-making.
Analysis of Kerala Lottery Results
June 1, 2025 – June 1, 2025
Built an end-to-end ETL pipeline (Selenium → SQL) and performed EDA to uncover frequency patterns and prize distribution trends.
Retail Sales Analysis
May 1, 2025 – May 1, 2025
Wrote optimised SQL queries (joins, aggregations, window functions) to derive insights on customer behaviour and revenue performance.
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of applications, from financial analytics to sports injury prediction and lottery analysis, indicating curiosity and adaptability. The current role as an Associate Analyst involves client interaction and KPI tracking, suggesting a results-oriented and collaborative approach. The blend of academic rigor and practical project work, along with an interest in emerging technologies like AI/GenAI, suggests a good fit for a dynamic, data-driven environment. However, the experience level is entry-level, which might require more mentorship in a senior team.
Soft Skills & Operational Fit
The candidate's professional experience highlights client communication and requirements gathering, indicating good interpersonal skills. Experience in UAT and QA suggests an understanding of operational processes and quality assurance. The project descriptions are clear and well-structured, reflecting good communication in written form. The candidate's interest in AI/GenAI tools and analytical skills in the insurance domain aligns with a forward-thinking and adaptable mindset.