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Data Science with 1+ years in data analytics & machine learning
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Data Scientist with 1.8 years of experience in data analytics, machine learning, and business intelligence. Skilled in Python, SQL, Power BI, Tableau, NLP, and Generative AI, delivering data-driven insights and predictive solutions.
Loyola college, Chennai
Masters · Data science
September 1, 2021 – May 1, 2023
Bishop Heber College, Trichy
Bachelor · Computer Application
June 1, 2018 – May 1, 2021
IONIXX TECHNOLOGIES
Trainee Programmer
September 1, 2024 – April 1, 2026
Chennai, Tamil Nadu, India
NPA Loan Risk Prediction
June 19, 2026 – Present
• Developed a machine learning solution using Python and SQL to identify high-risk loan applicants and support risk assessment. • Performed data preprocessing, feature engineering, and statistical analysis to improve model performance. • Implemented Logistic Regression, Random Forest, and CatBoost models, achieving up to 88% prediction accuracy. • Built Power BI dashboards and leveraged NLP/Generative AI to generate insights for business decision-making.
Real Estate Sales Analysis
June 19, 2026 – Present
• Analyzed real estate datasets to identify customer preferences and property sales trends. • Developed machine learning models for sales prediction and trend analysis. • Applied statistical analysis and feature engineering, achieving approximately 82% model accuracy • Created Tableau dashboards to deliver actionable business insights and support strategic decisions.
Microfinance Data Analysis
June 19, 2026 – Present
• Analyzed customer and loan datasets to evaluate repayment behavior and loan performance. • Conducted data cleaning, validation, and statistical analysis to identify key risk indicators. • Generated actionable business insights that improved risk assessment and supported decision-making.
Data visualisation stimulation
Accenture
January 1, 2024 – Present
Python learning
Geekster
January 1, 2024 – Present
Python Zero to Hero
Udemy
January 1, 2022 – Present
Oracle SQL
Udemy
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity (real estate, loan risk, microfinance) and exposure to various tools (Python, SQL, ML, NLP, Generative AI, Power BI, Tableau) suggest a broad interest in data science applications. This breadth indicates a potential for adaptability and a willingness to learn new technologies, which aligns well with dynamic, innovation-driven cultures. The personal projects demonstrate initiative and a passion for the field beyond formal employment.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work on diverse projects, suggesting adaptability. The experience in stakeholder collaboration indicates good communication and teamwork potential. The focus on automation and workflow optimization points to a proactive approach to efficiency. However, with only 1.8 years of experience, the depth of operational leadership or complex problem-solving in a team setting is yet to be fully proven.