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Data Analyst with less than a year in Data Analytics & Visualization
Detail-oriented graduate with strong foundation in Data Analytics, Exploratory Data Analysis (EDA), and structured Data Preprocessing & Data Preparation methodologies. Proficient in Python, SQL (PostgreSQL, MySQL), Excel, and Power BI, with hands-on experience in transforming raw datasets into actionable business insights. Experienced in end-to-end EDA workflows including data cleaning, missing value handling, duplicate removal, univariate, bivariate, and multivariate analysis, outlier detection, feature engineering, and feature selection. Strong knowledge of data preprocessing techniques such as missing value imputation, categorical encoding, feature scaling, feature transformation, dimensionality reduction, train-test split, and pipeline creation for model-ready datasets. Skilled in writing optimized SQL queries using joins, aggregations, subqueries, and window functions in PostgreSQL for efficient data extraction and reporting. Adept at data visualization using Pandas and Matplotlib, and developing interactive dashboards with KPI analysis and business intelligence reporting in Power BI and Excel. Demonstrates strong analytical thinking, problem-solving skills, and commitment to data-driven decision-making, seeking an entry-level Data Analyst role to contribute effectively to organizational growth. Actively maintains project repositories on GitHub and shares professional insights through LinkedIn, showcasing practical implementations of data analysis projects and continuous learning in analytics.
PSNA College of Engineering and Technology
B.E. · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
Government Adi Dravidar Welfare Higher Secondary School
HSC
June 1, 2020 – May 31, 2021
Government Adi Dravidar Welfare Higher Secondary School
SSLC
June 1, 2018 – May 31, 2019
Customer Behavior & Sales Analytics Dashboard
June 16, 2026 – Present
Designed and developed an end-to-end Customer Behavior Analytics project integrating PostgreSQL database, Python-based EDA, and Power BI dashboard visualization. Performed data extraction using SQL queries (joins, aggregations, window functions) to analyze customer purchase patterns and sales performance. Conducted comprehensive Exploratory Data Analysis (EDA) including data cleaning, missing value handling, outlier detection, and trend analysis. Identified key business metrics such as customer segmentation, revenue contribution, repeat purchase rate, and product performance. Built an interactive Power BI dashboard with KPI indicators, filters, and DAX calculations for real-time business insights. Enabled data-driven decision-making through structured business intelligence reporting.
Interactive Business Intelligence Dashboard Development
June 16, 2026 – Present
Designed interactive Power BI dashboards for real-time performance monitoring. Created dynamic reports with KPI indicators, DAX calculations, filters, and slicers. Transformed raw datasets into visually compelling business intelligence reports. Enabled stakeholders to track performance using structured data visualization techniques. Delivered insights to support strategic business decisions.
Cultural Fit Analysis
The candidate's academic projects showcase a focus on practical application of data analytics skills, which aligns with a results-oriented culture. Their stated commitment to continuous learning and sharing insights on platforms like GitHub and LinkedIn suggests a collaborative and growth-oriented mindset. The diversity of tools used (SQL, Python, Power BI, Excel) indicates adaptability. However, the lack of professional experience means cultural fit in a corporate setting is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and problem-solving skills, with a commitment to data-driven decision-making. Their active maintenance of GitHub repositories and LinkedIn presence indicates a proactive approach to continuous learning and professional development. The project descriptions suggest an ability to work on end-to-end data analysis tasks, which aligns well with operational requirements for a Data Analyst role.