Data Analyst with less than a year in SQL, Python, and Power BI.
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Data Analyst with hands-on experience in SQL, Python, Excel, Power BI, and data analytics through academic projects and internship experience. Skilled in data extraction, data cleaning, reporting automation, dashboard development, and exploratory data analysis. Experienced in writing SQL queries, analyzing large datasets, identifying business trends, and delivering actionable insights. Strong problem-solving mindset with the ability to translate data into business decisions.
Imarticus Learning
Postgraduate Program in Data Science & Analytics · Data Science & Analytics
January 1, 2025 – January 1, 2025
Kingston Engineering College (Anna University)
B.Tech · Information Technology
November 1, 2021 – May 1, 2025
BICS Global
Machine Learning Intern
September 1, 2024 – October 1, 2024
Chennai, Tamil Nadu, India
Health Insurance Cost Prediction
January 1, 2024 – December 31, 2024
Designed and developed a machine learning solution to predict health insurance premiums based on demographic and lifestyle factors, enabling data-driven insights into cost drivers and risk assessment. Responsibilities: Extracted, cleaned, and organized data using Python (Pandas, NumPy) to ensure data quality and consistency. Performed exploratory data analysis (EDA) to identify patterns, correlations, and key factors affecting insurance costs. Applied data preprocessing techniques including handling missing values, feature encoding, and data transformation. Built and evaluated multiple machine learning models including Linear Regression, Ridge Regression, and Random Forest. Assessed model performance using R² Score, RMSE, and MAE metrics to identify the most effective predictive model. Presented findings through data visualizations and analytical reports using Matplotlib, supporting business understanding of premium drivers. Developed a Streamlit-based web application to provide real-time insurance cost predictions through an interactive user interface.
Banking Analytics Dashboard
January 1, 2024 – December 31, 2024
Designed and developed interactive dashboards and analytical reports to monitor banking operations, customer behavior, loan performance, and transaction trends, enabling stakeholders to track KPIs and make data-driven business decisions. Responsibilities: Developed and maintained interactive dashboards in Power BI to visualize customer distribution, account balances, loan approvals, and transaction performance. Used Power Query for ETL processes, extracting, transforming, and loading data from multiple sources to ensure accuracy and consistency. Implemented DAX calculations, measures, and KPI metrics to monitor business performance and identify key trends. Performed data cleaning and validation to improve data quality and reporting reliability. Analyzed customer and transaction data to identify patterns, correlations, and business insights through exploratory data analysis (EDA). Collaborated with stakeholders to understand reporting requirements and translate business needs into actionable dashboards. Automated reporting workflows, reducing manual effort and improving reporting efficiency. Delivered visual storytelling through charts, KPI cards, and interactive reports to support strategic decision-making.
View ProjectSQL for Data Analysis Certification
Unknown
June 1, 2026 – Present
Postgraduate Program in Data Science & Analytics
Imarticus Learning
January 1, 2025 – Present
HackerRank Python (Basic) Certification
HackerRank
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong alignment with data analysis roles, covering areas like health insurance cost prediction and banking analytics. The internship experience further solidifies practical application of data analysis skills. The breadth of tools and technologies listed (Python, SQL, Power BI, Excel, various ML algorithms) indicates a willingness to learn and adapt, which is positive for cultural fit. However, the experience level is very junior, which might require significant mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with stakeholders to understand requirements and translate business needs into actionable dashboards, indicating good communication and problem-solving skills. The automation of reporting workflows suggests an operational mindset focused on efficiency. However, without direct assessment data, these are inferred from project responsibilities.