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Data Analyst with less than a year in data visualization, SQL, and machine learning.
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Assessing your cultural and operational fit
Data Analyst with expertise in SQL, Tableau, Power BI, Python, and data visualization. Experienced in data collection, extraction, transformation, analysis, dashboard development, and reporting. Skilled in exploratory data analysis, trend analysis, KPI tracking, business reporting, and performance monitoring. Proficient in SQL programming, Advanced Excel, data validation, and translating complex datasets into actionable business insights. Strong ability to collaborate with cross-functional teams, communicate analytical findings effectively, and support data-driven decision-making through accurate and reliable reporting.
CMR Institute of Technology, Bangalore
Master of Computer Applications
August 1, 2023 – June 30, 2025
Prince College, Sikar
Bachelor of Science
August 1, 2020 – June 30, 2023
Prodigy InfiTech
Data Science Intern
April 1, 2026 – May 1, 2026
India
Fake News Detection Web App (Trustify)
June 1, 2026 – Present
Built an end-to-end machine learning solution using TF-IDF Vectorization and Passive Aggressive Classifier to detect fake news articles from a dataset containing 40,000+ records. Developed automated data preprocessing, feature engineering, and classification workflows using Python, improving analytical efficiency, model scalability, and prediction accuracy. Integrated NewsAPI for real-time data ingestion and deployed a Flask-based web application, demonstrating expertise in data processing, automation, analytical problem-solving, and reporting workflows.
View ProjectCustomer Shopping Trends Analysis
June 1, 2026 – Present
Analyzed shopping behavior of 3,900+ customers across 18 product categories using SQL, performing data extraction, transformation, aggregations, joins, and window functions to identify customer segments and purchasing trends. Designed and developed an interactive Power BI dashboard featuring KPIs, drill-through reports, slicers, and performance metrics to support business reporting, stakeholder analysis, and decision-making. Built ETL workflows for data cleaning, transformation, validation, and integration, enabling automated reporting and generating actionable insights for customer segmentation, retention strategies, and business planning.
View ProjectE-Commerce Sales Analysis
June 1, 2026 – Present
Processed and analyzed retail sales data using Python, SQL, and statistical techniques to evaluate sales performance, profitability trends, customer behavior, and business outcomes across multiple regions. Developed interactive Tableau dashboards and business reports with filters, KPIs, and visual analytics to communicate findings, support decision-making, and improve business performance. Conducted exploratory data analysis, trend analysis, and root cause analysis to identify growth opportunities, optimize business processes, and provide actionable recommendations.
View ProjectData Analyst Program
ExcelR, Bangalore
February 1, 2026 – Present
Advanced Microsoft Excel
Udemy
January 1, 2025 – Present
Python Programming with MySQL for Data Science
Udemy
January 1, 2025 – Present
SQL for Developers, Data Analysts and BI
Udemy
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects cover diverse areas like fake news detection, customer shopping trends, and e-commerce sales, showing a breadth of interest and adaptability. The skills listed align well with a Data Analyst role, indicating a clear career path. The combination of academic background and certifications suggests a proactive approach to learning and skill development, which is a good cultural fit for growth-oriented teams.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills through project descriptions mentioning stakeholder communication, cross-functional collaboration, and problem-solving. The experience as a Data Science Intern also highlights collaboration and requirement gathering. The project diversity indicates an ability to adapt to different data analysis scenarios, which is a positive for operational fit.