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Data Analyst with less than a year in Power BI, SQL, and Python for data-driven insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience in building interactive Power BI dashboards, formulating advanced SQL queries for data management and analysis, and performing web scraping and exploratory data analysis using Python. Proven ability to enhance data organization efficiency, boost analytical accuracy, and extract actionable insights to drive revenue growth and improve decision-making.
Jagruti Institute of Engineering and Technology
B.Tech
July 1, 2016 – April 1, 2023
New Chaitanya Junior College
Intermediate
July 1, 2013 – May 1, 2016
Seethaphalmandi Boys and girls high School
SSC
April 1, 2012 – March 1, 2013
SQL Project: Grocery Store Management
June 28, 2026 – Present
• Developed and implemented a relational database consisting of 7 tables to manage upwards of 1,000 grocery store records, including products, suppliers, customers, employees, and orders enhancing data organization efficiency by 40%. • Formulated more than 20 advanced SQL queries (joins, subqueries, aggregations) to analyze sales trends, recognize top customers, evaluate supplier performance, and assess employee productivity, boosting analytical accuracy by 30%. • Extracted actionable insights from customer purchasing patterns and monthly sales data, identifying the top 5 customers who contribute to 50% of total revenue and recognizing high-performing product categories.
View ProjectWeb Scraping & Exploratory Data Analysis on Digital Books
June 28, 2026 – Present
Tools: Python, Requests, Pandas, Matplotlib, Gutendex API • Automated extraction and processing of over 1,100 digital books from the Gutendex API utilizing Python, which improved data collection efficiency by 95% and guaranteed 100% data consistency. • Transformed and analyzed JSON data across more than 5 key attributes (Authors, Languages, Subjects, Downloads, Media Type) revealing that English books account for over 70% of downloads. • Conducted comprehensive EDA and visualization with Matplotlib, pinpointing leading genres (Fiction, Classics) and the top 10 authors, enhancing the clarity of data-driven insights by 40%.
View ProjectPower BI Project: Movie Sales
June 28, 2026 – Present
• Built a Power BI dashboard that analyzes over 5,000 films spanning more than 10 genres, monitoring annual revenue, ratings, and runtime to pinpoint leading trends. Delivered 15+ interactive visuals & KPI cards, reducing manual reporting time by 40%. • Formulated more than 10 DAX measures for revenue enhancement, average ratings, and runtime categorization, facilitating precise performance monitoring over the years. Attained 95% data accuracy through refined data modeling and calculated measures. • Generated insights categorized by genre and year that underscored a 30% revenue growth trend in top genres with elevated ratings and votes. Improved decision-making with over 5 drill-through and slicer filters for in-depth analysis.
View ProjectPython programming
Unknown
June 1, 2026 – Present
Data Analysis with Mysql
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills, which aligns with a culture of continuous improvement. The diversity of personal projects (Power BI, SQL, Python EDA) indicates a broad interest in data analysis domains. The candidate is a recent graduate with no professional experience, which might suggest a need for mentorship and integration into a team-oriented environment. The certifications in Python and MySQL further support a commitment to skill development. However, without information on collaboration within projects or extracurricular activities, a comprehensive assessment of cultural fit is limited.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to improve efficiency (e.g., reducing manual reporting time by 40%, enhancing data organization by 40%) and analytical accuracy (e.g., 95% data accuracy, boosting analytical accuracy by 30%). This suggests a results-oriented approach and attention to detail, which are valuable for operational fit. The focus on identifying trends and top performers indicates an analytical mindset. However, without specific psychometric or English test results, a deeper assessment of communication, logical reasoning, stress handling, and team collaboration is not possible.