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Data Analyst with less than a year in Data Analytics & Python
M.Sc. Computer Science candidate (83%) with hands-on experience in data analysis, data cleaning, exploratory data analysis (EDA), and predictive modelling through 4 end-to-end academic projects. Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Folium), SQL, and Microsoft Excel. Certified in Data Analytics by the Great Lakes Institute of Management (2024). Experienced with real-world datasets of 1,100+ records. Seeking a fresher opportunity in data analytics, Python development, or business intelligence at a product-based company, MNC, or technology startup.
Government Arts College Autonomous, Karur
M.Sc. Computer Science · Computer Science
August 1, 2024 – June 30, 2026
Valluvar College of Science and Management, Karur
B.Sc. Computer Science · Computer Science
N/A – June 30, 2023
Government Higher Secondary School, Guziliamparai
Higher Secondary Certificate (12th Standard)
N/A – May 31, 2020
Rani Meyyammai Higher Secondary School
Secondary School Certificate (10th Standard)
N/A – May 31, 2018
Inter Deccaan Solution
Data Science
January 1, 2025 – Present
Karur, Tamil Nadu, India
Air Quality Analysis and Health Impact Prediction
June 19, 2026 – Present
Developed a comprehensive Air Quality Analysis and Health Impact Prediction project by analyzing 1,100+ air quality records across India using Python, Pandas, and NumPy. Performed systematic data cleaning and pollutant analysis on key indicators including PM2.5, PM10, NO2, and Ozone to identify pollution patterns and trends. Predicted possible health impacts based on measured pollution levels using threshold-based analytical techniques derived from air quality standards. Created interactive visualizations and geographic maps using Matplotlib, Seaborn, Plotly, and Folium to identify regional air quality patterns across Indian cities.
Exploratory Data Analysis on YouTube Data
June 19, 2026 – Present
Conducted in-depth exploratory data analysis on YouTube dislike data to derive meaningful insights into viewer engagement patterns using NumPy and Pandas libraries. Applied Linear Regression modelling to identify statistical relationships between engagement metrics, enabling data-driven interpretation of content performance. Produced structured analytical findings through EDA techniques, transforming raw social media data into actionable insights.
Terro's Real Estate Agency — House Price Feature Analysis
June 19, 2026 – Present
Investigated and identified the most relevant features influencing house pricing for a real estate organization, determining the statistical relevance of gathered data to property value. Performed EDA using Pivot Tables and charts to visualize feature distributions and relationships across the property dataset. Applied statistical techniques including Descriptive Statistics, Covariance, Correlation, and Regression Analysis using the Excel Data Analysis Toolkit to quantify feature impact on pricing.
Honey Production Analysis
June 19, 2026 – Present
Conducted end-to-end analysis of honey production data with the objective of investigating and pre-processing the dataset for future predictive analysis studies. Performed data cleaning, transformation, and exploratory analysis using Matplotlib, Seaborn, and Pyplot to uncover production trends and patterns. Applied EDA techniques using Pivot Tables to structure findings and prepare a clean, analysis-ready dataset as a foundation for subsequent predictive modelling.
Data Analytics Certification
Great Lakes Institute of Management
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in various data analysis applications (real estate, air quality, social media, production). The pursuit of a Master's degree and a Data Analytics certification indicates a proactive approach to skill development. The target role of Data Analyst aligns well with the skills and projects presented. The internship, though future-dated, shows initiative for practical experience. However, the lack of diverse team projects or non-academic experiences limits the assessment of cultural fit beyond a foundational level.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work through structured analytical problems and present findings. The academic nature of projects suggests a learning-oriented individual. However, without direct work experience beyond an upcoming internship, it's difficult to assess operational fit, teamwork, or stress handling capabilities.