Data Analyst with less than a year in Python & SQL.
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Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in Python, SQL, Excel, Tableau, and Power BI. Skilled in data cleaning, visualization, dashboard development, and deriving insights from structured and unstructured datasets. Passionate about solving business problems using data and creating clear, actionable reports.
Lovely Professional University
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2025
Government. Polytechnic College
Diploma
August 1, 2019 – June 30, 2022
Heart rate Monitoring System Using Facial Recognition
June 18, 2026 – Present
Developed a real-time heart rate monitoring system using webcam-based facial detection. Integrated facial recognition to personalize user experience and retrieve individual heart rate history. Built a secure login and registration system with password hashing and SQLite backend. Deployed web-based interface with live monitoring using Flask and OpenCV.
T20 world cup cricket data analytics - Cricket Analysis
June 18, 2026 – Present
Built a T20 World Cup cricket analytics project by scraping ESPNcricinfo data using Bright Data, then cleaning and transforming it with Python and Pandas. Developed a Power BI dashboard to evaluate players across roles such as openers, anchors, finishers, all-rounders, and fast bowlers. Identified the top 11 players with data-driven metrics, achieving a projected 90% winning probability for the selected team.
Online Shopping Trends Dashboard
June 18, 2026 – Present
Designed an interactive Tableau dashboard to analyze online shopping patterns across locations, seasons, and gender. Visualized customer behavior using filters like discount usage, payment methods, and item categories. Enabled data-driven insights on seasonal demand and preferred payment channels. Used pie charts, bar graphs, and filters to enhance user interaction and storytelling.
Create Charts and Dashboards Using Excel
Coursera
June 1, 2026 – Present
Introduction to Artificial Intelligence
Coursera
June 1, 2026 – Present
Supervised Machine Learning: Regression and Classification
Coursera
June 1, 2026 – Present
Data Visualization with Tableau
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying various data analysis tools and techniques. The diversity of projects (facial recognition, cricket analytics, online shopping trends) shows a broad interest in different data domains. The certifications in AI, Machine Learning, and Data Visualization indicate a commitment to continuous learning and skill development, which aligns well with a growth-oriented culture. However, the lack of professional experience beyond a short internship and all academic projects might indicate a need for more exposure to real-world team dynamics and corporate environments.
Soft Skills & Operational Fit
The candidate's resume highlights a detail-oriented approach and a passion for solving business problems using data. The project descriptions indicate an ability to work on end-to-end data analysis tasks, from data acquisition to visualization and insight generation. The SQL Developer Intern role suggests an understanding of data quality and process validation, which are crucial for operational fit in a data-centric role.