Entry-level Data Science & Software Engineer with hands-on ML pipeline and web scraping experience
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Assessing your cultural and operational fit
Final-year B.Tech student specializing in Data Science & Machine Learning with hands-on experience building end-to-end ML pipelines and automated data scraping systems. Proficient in Python, Scikit-learn, and NLP with a strong foundation in DSA and problem-solving (200+ competitive programming problems solved). Passionate about building scalable, data-driven solutions and eager to contribute to impactful AI/ML teams.
Sage University Bhopal, India
Bachelor of Technology · Computer Science (Data Science)
August 1, 2022 – June 1, 2026
Singularis Ventures
Data Science Intern
November 1, 2025 – January 1, 2026
Gurgaon, Haryana, India
Credit Card Fraud Detection
May 1, 2025 – May 1, 2025
• Developed classification models using Logistic Regression & Random Forest to detect fraudulent transactions. • Handled class imbalance using resampling techniques to significantly improve prediction accuracy on minority class. • Performed data preprocessing, model evaluation, and generated actionable insights through data visualization.
House Price Prediction
April 1, 2025 – April 1, 2025
Built regression models using Linear Regression & Random Forest achieving strong predictive accuracy on real-world housing data. • Performed feature engineering, data cleaning, and outlier detection to improve model performance. • Evaluated models using RMSE and R² score and visualized insights with Matplotlib and Seaborn. Delivered a complete end-to-end ML pipeline from raw data to prediction.
Cultural Fit Analysis
The candidate's academic background in Computer Science (Data Science) and engagement in competitive programming indicate a strong interest and dedication to the field. The projects showcase an ability to work independently on defined problems. The internship at Singularis Ventures, though short, shows an inclination towards practical application. The breadth of skills listed (Python, C++, Flask, ML, AI, NLP, Web Scraping, Databases, Core CS) suggests a versatile learner. However, the lack of team-based project descriptions or collaborative experiences makes it difficult to fully assess cultural fit beyond individual contribution.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application through academic projects and an internship. The ability to work on end-to-end data pipelines and solve competitive programming problems suggests a strong work ethic and problem-solving mindset. However, with limited professional experience, the operational fit in a senior role would require significant mentorship and ramp-up time.