Data Science with less than a year in Python & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate currently training in Data Science, with hands-on experience in Python, machine learning, and data analysis. Eager to apply technical and analytical skills in real-world data-driven roles.
Siddartha educational academy group of institutions (JNTUA)
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Al Variant / ExcelR Solutions
Data Science Intern
June 1, 2025 – September 1, 2025
Bengaluru, Karnataka, India
Global Clustering Development
June 1, 2026 – Present
The aim of this project was to group countries based on their development indicators. I used Python, Pandas, Scikit-learn, and Streamlite to analyze the data and create visual results. Clustering techniques were applied to data like GDP, life expectancy, and CO2 emissions. This helped compare countries and understand global development patterns more clearly.
Book Recommendation System
June 1, 2026 – Present
This project focused on building a Book Recommendation System by analyzing user-book interaction data. I used Python, Pandas, NumPy, and Scikit-learn to clean, process, and merge datasets containing books, users, and ratings. The system applied popularity-based and similarity-based methods to recommend books based on user preferences. Through exploratory analysis and visual insights, the project highlighted reading patterns, identified popular books, and helped understand user behavior more effectively.
Data Science Internship
AI Variant
June 1, 2025 – Present
Data Science Certification
ExcelR Solutions
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse data science applications (global development clustering, book recommendation). The internship and certification from ExcelR Solutions and AI Variant show initiative in pursuing formal data science training. The skills listed (Python, SQL, various libraries) align well with a data science role. However, the experience is primarily academic and internship-level, suggesting a need for mentorship and structured team environments. The breadth of skills is good for an entry-level role, but lacks depth in specific advanced areas or diverse industry applications.
Soft Skills & Operational Fit
The candidate's resume indicates an eagerness to learn and apply technical skills in real-world data-driven roles. The internship experience suggests an ability to work with trainers and classmates on data science tasks, implying basic collaboration skills. However, specific soft skills like problem-solving, critical thinking, and communication are mentioned generally without concrete examples or outcomes. The psychometric test results are not provided, so a detailed assessment of work attitude, stress handling, and team collaboration cannot be made.