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Data with less than a year in Python, SQL & Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A detail-oriented and results-driven aspiring Data Analyst with hands-on experience in Python, SQL, Power BI, Excel, Pandas, and Tableau. Adept at transforming raw data into actionable insights through exploratory data analysis, data visualization, and reporting. Eager to contribute strong analytical skills and a problem-solving mindset to a data-driven organization.
KLN College of Engineering
Bachelor of Engineering · Electronics & Communication Engineering (ECE)
N/A – June 30, 2026
COVID-19 Data Analysis
January 1, 2024 – December 31, 2025
Sourced and cleaned global COVID-19 datasets for country-wise and time-series analysis. Performed in-depth EDA using Python and Pandas to identify infection trends, recovery rates, and mortality patterns. Visualized spread patterns across regions using Matplotlib, Seaborn, and Power BI dashboards. Tracked key metrics including case fatality rate, recovery rate, and daily case growth rate. Documented findings and pushed structured project files to GitHub for portfolio visibility. Analyzed data across 150+ countries to surface regional trends and outbreak patterns. Built a multi-metric dashboard enabling visual comparison of pandemic progression globally. Delivered a recruiter-ready project with clean code, structured notebooks, and clear data-driven insights.
IPL Player Performance Analysis
January 1, 2024 – December 31, 2025
Collected and preprocessed IPL match and player statistics data sourced from Kaggle and Cricsheet.org. Performed comprehensive Exploratory Data Analysis (EDA) using Python and Pandas to uncover player and team performance trends. Engineered key performance indicators (KPIs) including batting average, strike rate, bowling economy, and wicket frequency. Built interactive visualizations using Matplotlib, Seaborn, and Power BI to present data-driven insights clearly. Structured and documented the project repository on GitHub following professional data analyst standards. Analyzed data spanning multiple IPL seasons to derive actionable batting and bowling insights. Produced a portfolio-ready dashboard highlighting top performers across key metrics. Structured GitHub repository to demonstrate an end-to-end data analyst workflow for recruiters.
Cultural Fit Analysis
The candidate's projects are self-initiated and demonstrate a proactive approach to learning and applying data analysis skills. The focus on creating 'recruiter-ready' projects and structuring GitHub repositories indicates an understanding of professional standards and a desire to contribute effectively. The projects are diverse in domain (sports, global health), showing adaptability and broad interest. However, the lack of professional experience and team-based projects limits the assessment of cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate highlights communication, teamwork, problem-solving, critical thinking, time management, adaptability, and attention to detail. These soft skills are crucial for a data analyst role, especially in collaborative environments. The project descriptions indicate an ability to structure work and present findings clearly, which aligns with operational needs.