Data Analyst with less than a year in SQL, Python & Power BI
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Assessing your cultural and operational fit
An extremely driven and meticulous graduate who wants to work as a data analyst. has practical experience processing, analysing, and visualising data, as well as solid basic abilities in SQL, Python, Power BI, Statistics, Excel, EDA and basics of Machine learning. eager to contribute to data driven decision making processes and use analytical thinking and problem-solving skills to real-world data situations.
PSCMR College of Engineering & Technology
B.Tech · Computer Science Engineering (Artificial Intelligence & Machine Learning)
August 1, 2021 – June 30, 2025
Narayana Junior College
12th MPC
June 1, 2019 – May 31, 2021
Ravindra Bharathi Public School
10th SSC
June 1, 2018 – May 31, 2019
BLACKBUCK ENGINEER
Intern
January 1, 2025 – March 1, 2025
India
Codegnan IT Solutions
ML Intern
May 1, 2023 – July 1, 2023
Vijayawada, Andhra Pradesh, India
TELECOM CUSTOMER CHURN (POWER BI)
June 24, 2026 – Present
Built an interactive Power BI dashboard to analyze key business trends and performance indicators using raw customer data. Performed data cleaning, transformation, and data modeling to ensure accurate analysis. Designed insightful visualizations with KPIs and slicers to improve report navigation and decision-making.
Flipkart Televisions Data Analysis Using Web Scraping(EDA)
June 24, 2026 – Present
Performed web scraping to collect TV product data (price, brand, ratings, discounts, features) from e-commerce websites flipkrat using Python, Requests, and BeautifulSoup. Cleaned and preprocessed scraped data using Pandas, handled missing values, and prepared the dataset for analysis. Conducted EDA and data visualization to analyze pricing trends, screen types, and customer ratings, generating actionable insights.
ENERGY CONSUMPTION FOR DATA ANALYSIS (SQL)
June 24, 2026 – Present
Analyzed multi-country energy consumption data using SQL-based analysis to identify usage patterns over time. Extracted and summarized large datasets using SQL joins, aggregations, and filters. Identified high energy-consumption regions and annual usage trends, transforming raw data into actionable business insights.
INSURANCE CLAIM USING EXPLORATORY DATA ANALYSIS(EDA)
June 24, 2026 – Present
Performed end-to-end exploratory data analysis (EDA) on insurance claims data using Python. Cleaned and preprocessed data by handling duplicates, missing values, and inconsistencies. Analyzed key variables including BMI, claim type, churn, and claim amount to identify risk patterns. Created insightful visualizations to uncover trends in customer attrition, claim approvals, and rejections, supporting risk assessment and data-driven decision-making.
Power BI
Unknown
June 1, 2026 – Present
Data Analysis with MySQL
Unknown
June 1, 2026 – Present
SQL
Unknown
June 1, 2026 – Present
Python Programming
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (telecom churn, e-commerce data, energy consumption, insurance claims) demonstrates a broad interest in applying data analysis across various domains. The target role of 'Data Analyst' aligns well with the skills and projects presented. The candidate is currently pursuing a B.Tech in Computer Science Engineering (AI & ML), which indicates a strong technical foundation and a forward-looking approach to data science. The internships, though short, show initiative and a willingness to gain practical experience. The certifications further reinforce a commitment to skill development. Overall, the candidate appears to be a good cultural fit for a data-driven organization that values continuous learning and practical application.
Soft Skills & Operational Fit
The candidate's profile highlights being 'extremely driven and meticulous' and 'eager to contribute to data driven decision making processes and use analytical thinking and problem-solving skills to real-world data situations.' Project descriptions indicate an ability to perform end-to-end analysis, from data collection and cleaning to visualization and insight generation. The internship experience at BLACKBUCK ENGINEER mentions coordinating a team of three, suggesting some team collaboration skills. However, without specific psychometric or communication test results, a deeper assessment of operational fit and soft skills is limited.