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Data Analyst with less than a year in SQL, Python & 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-focused Computer Science graduate with expertise in Python, SQL, Power BI, Excel, Pandas, and NumPy. Experienced in transforming large datasets into actionable business insights through data cleaning, exploratory data analysis (EDA), visualization, and predictive modeling. Delivered a Deep Learning solution achieving 91% prediction accuracy and demonstrated strong analytical, reporting, and problem-solving capabilities. Seeking opportunities in Data Analytics, Business Intelligence, and Reporting.
Tirumala Engineering College
BTech · Computer Science Engineering
August 1, 2021 – June 30, 2025
Vasavi Junior College
Intermediate (MPC)
June 1, 2019 – May 31, 2021
Siddhartha Concept School
SSC
June 1, 2009 – May 31, 2019
Skill Dzire
Full Stack Java Intern
October 1, 2025 – Present
India
Zepto E-Commerce SQL Analysis
June 1, 2026 – Present
Performed end-to-end data exploration and cleaning on Zepto product listings: handled null values, removed zero-priced records, and standardized pricing from paise to rupees. Built SQL queries to analyze revenue by category, discount patterns, price-per-gram efficiency, and inventory weight distribution across 10+ product categories. Delivered actionable insights into pricing strategy, stock availability, and inventory planning using aggregations, CASE logic, and window functions.
Forecasting Flight Delays Using Deep Learning
June 1, 2026 – Present
Analyzed aviation datasets containing thousands of flight records to identify delay patterns and operational trends. Performed end-to-end data preprocessing, feature engineering, and EDA to improve data quality. Developed an LSTM-Attention predictive model using Python and TensorFlow, achieving 91% prediction accuracy. Generated visual reports and performance dashboards to communicate insights effectively. Improved prediction performance through trajectory-based feature optimization and model tuning.
Machine Learning with Python
IBM
June 1, 2026 – Present
Python (Basic)
HackerRank
June 1, 2026 – Present
Computer Networks and Internet Protocol
NPTEL
June 1, 2026 – Present
Python
Infosys Springboard
June 1, 2026 – Present
Mean Stack Technologies
Code Tantra
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data analysis and machine learning techniques. The 'Full Stack Java Intern' role, while not directly aligned with a Data Analyst role, shows a breadth of interest in software development and data handling, which could be beneficial for understanding data pipelines. The certifications further indicate a commitment to continuous learning across various technical domains. However, the lack of professional experience beyond an internship and the academic nature of projects suggest a need for mentorship in a professional data analyst setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong analytical and problem-solving skills, as well as the ability to communicate insights effectively through visual reports. The internship experience, though not directly in data analysis, highlights collaboration and structured debugging, suggesting a team-oriented approach. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.