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Data Science with less than a year in Machine Learning & Data Analytics
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Data Scientist with 9 months of hands-on internship experience applying Python, SQL, and Machine Learning to real-world business problems. Proficient in end-to-end ML pipelines: data preprocessing, EDA, feature engineering, model development, evaluation, and deployment. Skilled in translating complex datasets into strategic insights using Power BI, Tableau, Matplotlib, and Seaborn. Certified by ExcelR in Data Science & Data Analysis; completed Deloitte Australia Data Analytics Job Simulation. Seeking a Data Scientist role at a leading MNC to contribute to large-scale analytics and AI initiatives.
R.C.Patel Institute of Management Research Development
Bachelor of Computer Applications (BCA)
July 1, 2022 – May 1, 2025
Ai Variant
Data Science Intern
August 1, 2025 – May 1, 2026
India
Used Car Price Prediction
March 1, 2026 – May 1, 2026
• Developed and deployed a regression model on CARS24 data for real-time price prediction; evaluated algorithms using RMSE and R-squared; engineered features and performed EDA to surface revenue growth insights. • Evaluated model performance using RMSE, MAE, and R² Score. • Identified key factors affecting vehicle prices through data analysis and visualization. • Built a real-time price prediction application using Python and Scikit-learn.
Global Development Clustering
December 1, 2025 – March 1, 2026
• Clustered 190+ countries by economic and development indicators using K-Means, DBSCAN, and Hierarchical Clustering; selected optimal clusters using Elbow Method and Silhouette Score. • Segmented countries based on GDP, income, health, and education indicators. • Generated data-driven insights through visualization and cluster analysis.
Data Science and Data Analysis Certification
ExcelR
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a strong interest and foundational skill set in Data Science, aligning well with the target role. The diversity of projects (price prediction, country clustering) and the use of various ML techniques show a breadth of exposure. The certifications further indicate a proactive approach to learning and skill development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's internship experience highlights collaboration in a remote agile team, managing multiple deliverables and meeting deadlines, indicating good operational fit and teamwork skills. The project descriptions suggest an ability to translate technical findings into business insights.