Data Science with less than a year in Python-based data analysis & ML.
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
December 1, 2021 – July 1, 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. Technologies: Python, SQL, Pandas, NumPy, Matplotlib, Scikit-learn, Git, GitHub
Data Science Internship Certification
Unified Mentor
June 1, 2026 – Present
Python Foundation Certification
Infosys Springboard
June 1, 2026 – Present
Java Foundation Certification
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project and internship align well with a Data Science target role, demonstrating a clear interest and foundational experience in the field. The breadth of skills is focused on core data science tools (Python, ML libraries, SQL). The certifications in Python and Java, along with the Data Science internship, show initiative in skill development. However, the overall experience is limited to academic and internship settings, which might require more guidance in a professional 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 assessment data on soft skills, a comprehensive evaluation of operational fit is limited.