Data Science with less than a year in Python, ML, and Web Development
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 Engineering graduate with skills in Python, Data Science, Machine Learning, and Web Development. Passionate about building data-driven solutions and seeking an entry-level software or datarelated role to apply technical skills and grow professionally.
Bethlahem Institute of Engineering
Bachelor of Engineering · Computer Science and Engineering
January 1, 2022 – January 1, 2026
M-Squared Software and Services
Data Science Intern
July 25, 2025 – August 25, 2025
India
Customer Churn Prediction using Machine Learning
June 1, 2026 – Present
Built a machine learning model to predict customer churn using Logistic Regression. Performed data preprocessing, handled missing values, and removed duplicates. Used Pandas, NumPy, Matplotlib, and Scikit-learn for analysis and prediction.
UI Developer
ICT Academy
June 1, 2026 – Present
Designing user Centric Interfaces Using UI/UX
Unknown
June 1, 2026 – Present
Data Science
M-Squared Software & Services Pvt Ltd
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project and internship align with the target role of Data Science, indicating a clear interest. The certifications also support this alignment. However, the experience is limited to a single academic project and a one-month internship, which restricts the assessment of broader cultural fit or diverse work environments. The inclusion of 'Web Development' as a technical skill and UI/UX certifications suggests a potentially broader interest beyond pure data science, which could be a strength or a distraction depending on the specific team needs.
Soft Skills & Operational Fit
The candidate lists adaptability, problem-solving, leadership, and teamwork as soft skills. While these are valuable, there is no evidence in the provided data (resume, tests) to validate these claims. The short internship and academic project provide limited insight into operational fit or real-world application of these soft skills.