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Data Science with less than a year in Python-based data analysis and 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
Motivated Engineering graduate with hands-on experience in data science and Python-based data analysis. Seeking a fresher role in Data Science or Data Analytics where I can apply my skills in model building, EDA, and data-driven problem solving to deliver business value.
Global Academy of Technology
Bachelor of Engineering · Electronics & Communication
August 1, 2021 – June 30, 2025
Unified Mentor
Data Science Intern
October 1, 2024 – March 1, 2025
India
Credit Card Fraud Detection
January 1, 2025 – May 1, 2025
• Developed a machine learning model to detect fraudulent credit card transactions on a Kaggle dataset of 284,807 transactions. • Performed EDA to identify transaction patterns and anomalies; applied SMOTE to handle class imbalance. • Implemented and compared classification algorithms (Logistic Regression, Random Forest, XGBoost); achieved F1-score of ~0.93. • Engineered features and optimised the model pipeline, reducing false positive rate significantly.
Python Foundation Certification
Infosys Springboard
June 1, 2026 – Present
Java Foundation Certification
Infosys Springboard
June 1, 2026 – Present
Data Science Internship Certification
Unified Mentor
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project and internship show a focus on practical application of data science skills. The certifications in Python and Java, along with the Data Science internship, indicate a proactive approach to learning and skill development. The target role of Data Science aligns well with the candidate's stated interests and experience. However, the breadth of experience is limited to academic and internship settings, which might require additional mentorship for integration into a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate's project and internship descriptions indicate an ability to collaborate on data-driven solutions and communicate findings, suggesting a foundational level of teamwork and communication. However, without specific behavioral assessment data, a deeper evaluation of soft skills like problem-solving under pressure, adaptability, or leadership potential is not possible.