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Associate Data Analyst with 1+ years in Statistics and expertise in Python, SQL, and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Data Analyst Fresher with knowledge in data analysis, statistics, data visualization, and Skilled in Python, SQL, Excel, Power BI, and data preprocessing techniques for extracting meaningful insights from complex datasets. Experienced in academic projects involving clustering, prediction models, and. Strong analytical thinking, problem-solving ability, and passion for transforming raw data into actionable business insights.
University of Madras
Master of Science · Statistics
August 1, 2024 – June 30, 2026
Meenakshi college for women (Autonomous)
Bachelor of Science · Mathematics
August 1, 2021 – June 30, 2024
G.K Matric Higher Secondary school
Higher Secondary (HSC) Education
June 1, 2020 – May 31, 2021
G.K Matric Higher Secondary school
Secondary (SSLC) Education
June 1, 2018 – May 31, 2019
Department of Economics and Statistics (DES)
Internship
May 1, 2025 – June 30, 2025
Mayiladuthurai, Tamil Nadu, India
An statistical study on Renewable energy generation and it's future prospects in India
January 1, 2026 – June 30, 2026
Analyzed renewable energy generation data across Indian states using Python and statistical techniques. Applied clustering, regression, and forecasting methods to identify energy trends and state-wise performance. Evaluated renewable energy efficiency and regional inequality using CUF and Gini Index. Created visualizations and insights to support sustainable energy planning and SDG 7 goals.
India Air Quality Analysis Dashboard -Power BI
January 1, 2026 – June 30, 2026
Developed an interactive Power BI dashboard to analyze AQI trends, identify polluted cities, and generate data-driven environmental insights using DAX and data visualization techniques using Kaggle Data.
Cultural Fit Analysis
The candidate's academic projects show a focus on socially relevant topics (renewable energy, air quality), indicating a potential alignment with organizations that value impact and sustainability. The internship experience suggests an ability to work within governmental or structured environments. The breadth of tools and techniques used (Python, R, SQL, Power BI, Excel, SPSS) indicates a willingness to learn and adapt, which is positive for cultural integration. However, the candidate is a fresher, so direct experience in diverse team settings is limited.
Soft Skills & Operational Fit
The candidate's profile highlights strong analytical thinking, problem-solving ability, and a passion for transforming raw data into actionable insights. These traits are crucial for an Associate Data Analyst role. The academic projects demonstrate an ability to work independently on complex datasets. However, without specific assessment data on collaboration or stress handling, a full operational fit assessment is limited.