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Data Science with less than a year in Python, SQL, and data analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated BSc IT (Data Science) student skilled in Python, SQL, and data analysis, seeking a Data Science Intern role to gain practical experience and contribute to real-world decision-making through effective data analysis.
Ganpat University
B.Sc.(IT) · Data Science
August 1, 2023 – June 30, 2026
Shri J M Chaudhary Sarvajanik Vidhyalaya, Mehsana
HSC
N/A – May 31, 2023
Shri Saraswati Vidhyalaya
SSC
N/A – May 31, 2021
ISTUDIO
DATA SCIENCE
December 15, 2024 – January 19, 2025
India
LOAN APPROVAL PREDICTION SYSTEM
June 28, 2026 – Present
Executed a complete ML workflow involving data cleaning, exploratory data analysis, feature engineering, and model development in Jupyter Notebook. Developed a conditional two-step prediction system where Model-1 (Classification) determines loan approval and Model-2 (Regression) predicts the loan amount for approved applications. Built an integrated workflow combining both models for final prediction output.
Data Science Internship
iStudio
January 19, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a clear interest and focus on Data Science, aligning well with the target role. The project diversity is limited to one main ML project, but it covers both classification and regression, showing breadth within a specific domain. The candidate is currently pursuing a B.Sc. in IT (Data Science), indicating a proactive approach to skill development in the field. The internship experience, though short, further reinforces this alignment.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, and problem-solving as soft skills. The project and internship descriptions indicate an ability to follow structured workflows and apply learned concepts, which suggests a foundational operational fit. However, without direct interview data, the depth of these soft skills cannot be fully assessed.