Data Analyst with less than a year in Data Analysis & Python
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst and Python enthusiast with hands-on experience in SQL, Excel, Python, and data visualization. Skilled in building ETL pipelines, performing exploratory data analysis (EDA), and developing backend-driven analytics solutions using Pandas, Flask, and MySQL. Passionate about data-driven decision-making and solving real-world business problems through analytics.
Savitribai Phule Pune University
Bachelor of Computer Applications · Computer Applications
August 1, 2022 – June 30, 2025
Maharashtra Board
Higher Secondary Certificate · Science
N/A – May 31, 2022
Hostel Management System
June 20, 2026 – Present
Developed a web-based hostel management system to manage student records and room allocation. Implemented admin authentication and secure login functionality. Designed an optimized MySQL database schema for efficient data storage. Automated report generation to improve administrative efficiency.
Stock Market Data Analytics & ETL Pipeline
June 20, 2026 – Present
Automated extraction, cleaning, and transformation of stock market datasets using Python. Performed exploratory data analysis (EDA) and generated statistical summaries. Stored processed datasets in SQL databases for structured reporting. Built Flask-based APIs to automate analytics workflows and comparison reports. Created visual dashboards to analyze stock market trends and performance.
Cultural Fit Analysis
The candidate's projects show a blend of academic and personal initiatives, indicating self-motivation and a proactive learning attitude. The 'Hostel Management System' project, while not directly data analytics, shows foundational software development skills. The 'Stock Market Data Analytics' project aligns well with a data-driven culture. The pursuit of Data Science training further emphasizes a commitment to the field, suggesting a good cultural fit for a learning-oriented and data-focused team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on data-centric problems, from data extraction to visualization. The 'Stock Market Data Analytics & ETL Pipeline' project demonstrates problem-solving skills and an end-to-end approach to data analysis. The professional summary highlights a passion for data-driven decision-making, suggesting a good operational fit for roles requiring analytical thinking.