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Data with less than a year in Python, SQL, and 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
Data Analyst Fresher with hands-on experience in Python, SQL, Excel, and Power BI. Skilled in data cleaning, exploratory data analysis (EDA), data visualization, dashboard development, and insight generation. Seeking an entry-level Data Analyst opportunity to contribute to data-driven decision-making.
TKR College of Engineering and Technology, Hyderabad
Bachelor of Technology · Information Technology
August 1, 2022 – June 30, 2025
Singareni Collieries Polytechnic, Mancherial
Diploma · Computer Science
August 1, 2018 – June 30, 2021
QuickBite E-Commerce Data Analysis
June 19, 2026 – Present
Extracted and analyzed e-commerce data from MySQL using Python (mysql.connector). Performed data cleaning, preprocessing, and transformation using Pandas. Designed and implemented OLAP tables to support multidimensional data analysis and reporting. Conducted Exploratory Data Analysis (EDA) to identify sales trends and customer insights. Extracted meaningful insights from the dataset to support business decisions.
PhonePe Transaction Analysis
June 19, 2026 – Present
Extracted and processed PhonePe Pulse transaction data using Python (Pandas) for analysis. Performed data cleaning, transformation, and validation to improve data quality. Used SQL queries to analyze state-wise, district-wise, and category-wise transaction trends. Conducted Exploratory Data Analysis (EDA) to identify UPI adoption patterns and top-performing regions. Built an interactive Power BI dashboard with KPIs, filters, and drill-down reports for business insights.
Winner Data Analysis Hackathon
Telangana Academy for Skill and Knowledge (TASK)
May 1, 2026 – Present
Data Engineering Certification
Sri Sathya Sai Skill Development Center, Telangana
February 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical data analysis applications, which aligns with a results-oriented culture. Participation in a hackathon and pursuing certifications indicates a proactive learning attitude and drive for skill development. The projects are diverse in terms of data sources (e-commerce, transaction data) and analysis goals, suggesting adaptability. However, the lack of professional experience means there's no direct evidence of collaboration or navigating complex organizational dynamics.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, adaptability, and communication as soft skills. The project descriptions suggest an ability to work through data challenges and present findings, which aligns with operational needs for data roles. However, without direct work experience, the practical application of these soft skills in a professional team environment is yet to be validated.