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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 with hands-on experience in SQL, Python, Power BI, Excel, and Tableau. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, statistical analysis, and business intelligence reporting. Experienced in analyzing large datasets, identifying trends, KPI tracking, and generating actionable insights to support data-driven decision-making.
Dr. A. P. J. Abdul Kalam Technical University, Lucknow
B. Tech. · Computer Science and Engineering
August 1, 2022 – June 30, 2026
WhatsApp Chat Analyzer
November 1, 2025 – January 1, 2026
Preprocessed chat data using Python (Pandas, Regex) for structured feature extraction. Extracted insights on most active users, emoji usage, word trends, and temporal patterns, supported by clear visualizations. Developed and deployed an interactive Streamlit web app with dynamic visualizations for real-time chat analysis.
View ProjectCustomer Churn Analysis
April 1, 2025 – May 1, 2025
Analyzed 7,000+ customer records to identify churn patterns and key influencing factors. Performed exploratory data analysis on 20+ features using Pandas, Matplotlib, and Seaborn to identify churn patterns. Identified high-risk churn segments through EDA and visualization, enabling targeted retention strategies.
View ProjectHotel Booking Cancellation
March 1, 2025 – March 1, 2025
Analyzed 10,000+ hotel booking records to identify key factors contributing to booking cancellations. Built pivot tables and dashboards in Excel to analyze cancellation rates by season, customer type, and booking channel. Identified patterns that could help reduce cancellation by 10-15%.
E-commerce Sales Analysis
January 1, 2025 – February 1, 2025
Analyzed 25,000+ ecommerce transaction records using SQL and Python to identify customer behavior and sales trends. Cleaned and processed raw data using Pandas and SQL queries for accurate analysis and reporting. Generated actionable insights on revenue growth, customer segmentation, and sales performance.
Data Visualization – Tata
Tata
June 1, 2026 – Present
Introduction to Gen AI Studio – Google Cloud
Google Cloud
June 1, 2026 – Present
Data Analytics – Deloitte
Deloitte
June 1, 2026 – Present
Six Sigma Yellow Belt
Unknown
June 1, 2026 – Present
Learning Python from Scratch – Infosys
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across diverse scenarios (e-commerce, hospitality, customer behavior, chat analysis). The certifications from reputable organizations (Deloitte, Tata, Google Cloud, Infosys) indicate a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The breadth of tools and concepts covered suggests adaptability and a willingness to explore different technologies. However, the lack of professional experience means there's no direct evidence of collaboration within a corporate environment.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, attention to detail, and team collaboration as soft skills. The project descriptions indicate an ability to work through data analysis problems and present findings. However, without direct interview data or team project specifics, the operational fit and depth of these soft skills cannot be fully assessed.