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Data Analyst with less than a year in Python, Power BI & SQL
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Assessing your cultural and operational fit
Engineering graduate with practical experience in Excel, Power BI, SQL, and Python for data analysis, visualization, reporting, and problem-solving. Skilled in developing interactive dashboards, analyzing datasets, and delivering actionable insights to support business decisions. Strong analytical mindset, communication skills, and attention to detail, with a passion for learning new technologies and contributing to organizational success.
ANURAG UNIVERSITY
BACHELOR OF TECHNOLOGY · ELECTRONICS AND COMMUNICATION ENGINEERING
January 1, 2021 – January 1, 2025
PRAGATHI JUNIOR COLLEGE
INTERMEDIATE
January 1, 2019 – January 1, 2021
AICTE-Eduskills
AI-ML Virtual Internship
January 1, 2026 – Present
India
IPL Data Cleaning & Exploratory Data Analysis
January 1, 2025 – January 1, 2026
Used Python, Pandas, NumPy, Matplotlib, Seaborn, and Jupyter Notebook to clean and analyze a 260k+ record IPL ball-by-ball dataset, preparing it for deeper insights and modeling. Standardized and cleaned the dataset by resolving 100% of missing values, correcting data types, removing duplicates, and unifying inconsistent team and player naming formats. Performed detailed univariate and bivariate analysis to uncover key insights, including 90k+ dot balls, 100k+ singles, and team-wise scoring and wicket trends. Built over visualizations (bar charts, count plots, pie charts, line plots, heatmaps) that highlighted top scorers like Virat Kohli (8014 runs), top wicket-takers like YS Chahal (213 Wickets), over-wise run patterns, and dismissal distributions.
Movie Industry Performance Analysis Using Power BI
January 1, 2025 – January 1, 2026
Used Power BI, DAX, and data modeling to analyze several years of movie industry data and build clear visual dashboards showing trends in ratings, revenue, genres, and audience engagement. Analyzed data for 1,000 movies, finding that 2016 had the highest box-office revenue (11.21K million) and also the highest number of releases (297 movies). Compared performance across genres and found that Animation-Drama movies had the highest IMDb rating (8.6), while Action-Adventure movies generated over 10.5K million in total revenue. Highlighted top performers such as J.J. Abrams and David Yates, who together generated 1.7K+ million in revenue, and popular movies like The Dark Knight and Inception, each receiving over 2M votes. Created interactive dashboards that showed useful patterns such as how movie runtime (110-121 mins) and ratings (6.4-7.1) relate to changes in revenue to help with better decision-making.
Full Stack Java
Wipro Talentnext
June 1, 2026 – Present
Basics of Python
INFOSYS Spring Board
June 1, 2026 – Present
Introduction to Networks, Switch, Routing, Wireless Essentials, Enterprise Networking, Security, and Automation & PCAP: Programming Essentials in Python
CISCO Networking
June 1, 2026 – Present
Image Processing Onramp, Signal Processing Onramp & MATLAB Onramp
MathWorks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including sports data analysis and movie industry performance, shows a broad interest in applying data analysis across different domains. The pursuit of various certifications (Python, Java, Networking, MATLAB) indicates a strong drive for continuous learning and skill development, which is a positive cultural fit for dynamic and evolving technical teams. The academic projects are well-defined and demonstrate initiative, suggesting a proactive approach to work. However, the lack of professional experience beyond a virtual internship means direct experience in a corporate cultural setting is limited.
Soft Skills & Operational Fit
The candidate's profile highlights a strong analytical mindset, communication skills, and attention to detail, which are crucial for a Data Analyst role. The project descriptions indicate an ability to work with complex datasets and present findings clearly. The academic background in Electronics and Communication Engineering, while not directly data-focused, suggests a strong problem-solving aptitude. The AI-ML internship indicates an interest in advanced analytical techniques, which aligns with continuous learning in a data-driven environment.