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Data Analyst with less than a year in Python, Power BI, and SQL
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Assessing your cultural and operational fit
A detail-oriented and results-driven Data Analyst fresher with hands-on experience in data cleaning, exploratory analysis, and building insightful dashboards using Python, Power BI, and Excel. Completed projects on Retail and Used Car Price Analysis, uncovering key pricing patterns and business insights. Also developed RPA solutions to automate file handling using Brity RPA. Seeking to leverage analytical thinking, SQL skills, and a strong understanding of data visualization to support business intelligence and decision-making in a dynamic organization.
Vaagdevi College Of Engineering, Bollikunta
B.Tech · Computer Science and Engineering
January 1, 2020 – January 1, 2024
Goutham Jr College, Beemaram
Intermediate · MPC
January 1, 2018 – January 1, 2020
Gurukul The ScooL, Balasamudhram
SSC
January 1, 2017 – January 1, 2018
Retail Price Analysis
April 1, 2025 – Present
Cleaned and transformed retail sales data using SQL and Excel for accurate analysis. Built an interactive Power BI dashboard to track monthly profit, return rates, and top-selling products. Created custom DAX measures to analyze customer regions, product performance, and store-wise revenue. Generated actionable insights to improve inventory planning and reduce return rates.
Used Car Price Analysis
March 1, 2025 – Present
Scraped used car listings from CarWale (Hyderabad) and extracted key details like brand, model, year, and price. Cleaned and analyzed the data to identify price trends, depreciation patterns, and top-selling brands. Visualized insights using Matplotlib and Seaborn to support decision-making for buyers and sellers.
AWS Certified Machine Learning Engineer – Associate
AWS
June 1, 2026 – Present
“Used Cars Price Analysis” Project Completion Certificate
Analytics Space
June 1, 2026 – Present
Advanced Certification Course in Data Analytics with AI
Texas Tech University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a practical approach to learning data analysis tools and techniques. The 'Used Car Price Analysis' and 'Retail Price Analysis' projects show an ability to work with real-world data scenarios, which aligns with a results-oriented culture. Participation in extracurricular activities suggests a willingness to engage beyond academics and contribute to a community, indicating potential for good team integration. The pursuit of certifications in Data Analytics with AI and AWS ML Engineer shows a commitment to continuous learning and staying updated with industry trends, which is a positive cultural indicator for growth-oriented organizations. However, as a fresher, direct experience in a corporate culture is absent.
Soft Skills & Operational Fit
The candidate's career objective highlights being 'detail-oriented and results-driven' with 'analytical thinking' and a 'strong understanding of data visualization'. Project descriptions show an ability to translate data into actionable insights. Extracurricular activities as a 'Coordinator of Cultural club' and 'Volunteer' suggest teamwork and organizational skills, which are beneficial for operational fit in a collaborative environment. However, without direct work experience, the practical application of these soft skills in a professional setting is yet to be validated.