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Aspiring Data Science Professional with 0.5 Years of Machine Learning Internship Experience
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Science professional with a B.E. in Computer Engineering and currently pursuing M.Tech in Data Science (expected 2027). Seeking a Data Science Internship to apply skills in Python, Machine Learning, SQL, Data Analysis, and Data Visualization while contributing to real-world business problems.
M.Tech in Data Science
M.Tech · Data Science
N/A – June 30, 2027
Savitribai Phule Pune University
B.E. · Computer Engineering
N/A – June 30, 2023
Unknown
Machine Learning Intern
December 1, 2025 – May 31, 2026
India
Smart Car Price Prediction System
June 19, 2026 – Present
• Developed a machine learning model to predict used car prices using Python and Flask.• Performed data preprocessing, feature selection, and model evaluation.
Student Performance Prediction System
June 19, 2026 – Present
• Built a predictive model using Python, Pandas, and Scikit-learn to estimate student performance.• Visualized insights and identified factors affecting academic outcomes.
Sales Data Analysis Dashboard
June 19, 2026 – Present
• Analyzed sales datasets using Python, Pandas, and Matplotlib.• Created visual reports to identify sales trends and business insights.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse applications of data science, from sales analysis to predictive modeling for car prices and student performance. The internship experience, though brief, shows exposure to full-stack development alongside machine learning, indicating adaptability. The pursuit of a Master's degree aligns with a growth-oriented culture. Overall, the candidate appears to be a good fit for a learning-intensive and project-driven environment.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and applying data science concepts through personal projects and an internship. The project descriptions suggest an ability to work on defined tasks and deliver functional prototypes. However, there is insufficient data to assess collaboration, stress handling, or advanced problem-solving skills in a team or operational setting.