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Data Analyst with 3+ years in SQL, Python, and Power BI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1 year of software development experience and 1 year of hands-on data analysis experience, specializing in SQL, Python, Excel, and Power BI. Experienced in data cleaning, transformation, data modeling, and applying ETL concepts to convert raw data into actionable business insights. Skilled in writing advanced SQL queries, performing exploratory data analysis (EDA) using Python (Pandas, NumPy, Matplotlib), and building interactive dashboards and data visualizations in Power BI & Tableau. Strong analytical mindset with experience supporting data-driven decision-making in Agile environments.
Anudip Foundation
Data Processing & Business Analyst Program
March 1, 2026 – June 1, 2026
Novitech R&D Private Limited
Applied Technology Internship Program · Data Analytics
March 1, 2026 – June 1, 2026
Indira Institute of Engineering & Technology, Tiruvallur
B.E. Petrochemical Engineering · Petrochemical Engineering
August 1, 2014 – June 30, 2018
Indium Software Pvt Ltd
Software Developer (Data Analysis Focus)
March 1, 2023 – August 1, 2024
Chennai, Tamil Nadu, India
AGS Health Pvt Ltd
Software Developer
August 1, 2022 – February 1, 2023
Chennai, Tamil Nadu, India
Balmer Lawrie & Co. Ltd. (Leather Chemicals Division)
Apprenticeship
January 1, 2020 – December 1, 2021
Chennai, Tamil Nadu, India
Bank Loan Data Analysis & Prediction using Python
June 1, 2024 – June 1, 2026
Analyzed bank loan dataset to identify key factors influencing loan approval and default risk. Performed data cleaning, handling missing values, outlier detection, and feature engineering using Pandas and NumPy. Conducted Exploratory Data Analysis (EDA) to uncover trends in income, credit history, loan amount, and applicant demographics. Created data visualizations using Matplotlib and Seaborn to present approval patterns and risk insights. Built a machine learning classification model to predict loan approval / default probability. Evaluated model performance using accuracy, confusion matrix, and classification metrics. Generated actionable insights to help financial institutions improve loan approval decision-making.
View ProjectEnergy Consumption Analysis Dashboard | Power BI
June 1, 2024 – June 1, 2026
Designed an interactive Power BI dashboard to analyze energy consumption trends across time, regions, and sectors. Performed data cleaning and transformation using Power Query to prepare raw energy datasets for analysis. Created data model and relationships to enable accurate and efficient reporting. Developed DAX measures and calculated columns to track KPIs such as total consumption, peak usage, and growth trends. Built dynamic visualizations including trend charts, KPI cards, and slicers for user-driven analysis. Identified consumption patterns and seasonal trends to support data-driven energy planning decisions. Improved reporting efficiency by transforming raw data into actionable insights.
View ProjectRetail Sales Data Analysis using SQL
June 1, 2024 – June 1, 2026
Designed and created a retail sales database and structured dataset using MySQL. Performed data cleaning and validation by identifying and removing null and inconsistent records to ensure data accuracy. Wrote advanced SQL queries using joins, aggregations, subqueries and window functions to analyze business performance. Analyzed customer behavior, sales trends, and product category performance to generate business insights. Identified top customers, best-selling months, and high-revenue categories using SQL analytics. Built queries to segment sales by time of day (Morning, Afternoon, Evening) to support operational decision-making. Delivered actionable insights that can help improve sales strategy and customer targeting.
View ProjectData Analytics
Unknown
June 1, 2026 – Present
Artificial Intelligence & Machine Learning
Unknown
June 1, 2026 – Present
Power BI
Unknown
June 1, 2026 – Present
Deep Learning
Unknown
June 1, 2026 – Present
Microsoft Certified Data Analyst 101
Microsoft
June 1, 2026 – Present
Microsoft certified Power BI Data Modelling Basics
Microsoft
June 1, 2026 – Present
IBM Developer Skills Network Powered by Statistics 101
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from bank loan analysis to energy consumption and retail sales, shows a broad interest in applying data analysis across different domains. The certifications in Data Analytics, AI/ML, Power BI, and Deep Learning, although future-dated, indicate a proactive approach to continuous learning and skill development. The transition from Petrochemical Engineering to Data Analysis, coupled with relevant training and internships, demonstrates adaptability and a strong drive to align with the target role. However, the lack of diverse professional experience beyond data analysis in a single company (Indium Software) and a brief stint in low-code development might suggest a need for more varied industry exposure to fully assess cultural fit across different organizational structures.
Soft Skills & Operational Fit
The candidate highlights problem-solving, analytical thinking, effective communication, team collaboration, fast learning, adaptability, and time management. These soft skills are highly relevant for a Data Analyst role, which often requires translating complex data into understandable insights and working with cross-functional teams. The experience in Agile environments further supports operational fit, indicating an understanding of modern development and analysis workflows.