Entry-level Data Science professional with strong Python, SQL, and data analytics skills.
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Assessing your cultural and operational fit
Detail-oriented Computer Science Engineering student with strong skills in Python, SQL, data analytics, and business problem-solving. Experienced in working with datasets, performing data cleaning, generating insights, and building optimization models. Currently pursuing IBM Data Science Professional Certificate and seeking entry-level Data Analyst opportunities.
Kuppam Engineering College (JNTUA)
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
M.G.H.S.S, Thumpamon
Higher Secondary Education (HSE)
June 1, 2020 – May 31, 2022
Warehouse Placement Optimization in India
April 1, 2026 – April 1, 2026
Developed a warehouse location optimization system using city coordinates and demand data. Selected optimal hubs in Delhi, Mumbai, and Bengaluru using distance minimization logic. Assigned cities to nearest warehouse for efficient logistics planning. Visualized warehouse locations using interactive maps.
Task Manager API
March 1, 2026 – Present
Developed a Flask-based REST API supporting Create, Read, Update, Delete (CRUD) operations for 100+ tasks. Implemented routing, request handling, and JSON responses for efficient client-server communication. Integrated SQLite/MySQL database for persistent storage and retrieval. Tested API endpoints using Postman to ensure functionality and reliability.
Student Data Analysis Project
March 1, 2026 – April 1, 2026
Cleaned and analyzed structured datasets using Python and SQL. Generated reports using filtering, aggregation, and grouped insights. Identified trends and patterns from business data.
IBM Data Science Professional Certificate
Coursera
June 1, 2026 – Present
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The candidate scored 73% on the Python Internship Test, indicating a solid but not perfect grasp of the evaluated Python and data analysis skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate shows a strong interest in data science and analytics, aligning well with a data-driven organizational culture. The diversity of academic and personal projects (optimization, API development, data analysis) indicates a broad interest in applying technical skills. The pursuit of multiple certifications further highlights a proactive and continuous learning mindset, which is a positive cultural fit indicator. However, as an entry-level candidate with no professional experience, their adaptability to a corporate environment and team dynamics is yet to be fully assessed.
Soft Skills & Operational Fit
The psychometric test score of 277/500 suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. The English test score of 69/100 indicates adequate communication clarity for an entry-level role, but there is room for improvement in professional language usage. The candidate's project descriptions are clear and concise, demonstrating good written communication.