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Data Science with 1+ years in Machine Learning & Data Analytics.
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Assessing your cultural and operational fit
Highly motivated and results-driven Data Science professional with 1.6 years of experience in machine learning, data analysis, and project development. Proficient in Python, R, SQL, and various ML/DL frameworks, and skilled in building predictive models, data visualization, and real-time applications. Eager to leverage strong analytical and problem-solving abilities to contribute to data-driven decision-making.
Bishop Heber College (BHC)
Master of Science · Data Science
August 1, 2024 – June 30, 2026
Holy Cross College (HCC)
Bachelor of Computer Applications
August 1, 2021 – June 30, 2024
Afame Technologies
Data Analyst Intern
February 1, 2025 – March 31, 2025
India
Prodigy InfoTech
Machine Learning Intern
December 1, 2024 – Present
India
Visual Question Answering System
June 24, 2026 – Present
• Developed an AI-powered web application that answers user questions based on uploaded images. • Integrated computer vision and natural language processing techniques for image-based question answering. • Implemented features including voice input/output, PDF report generation, and an interactive Streamlit interface.
View ProjectStudent Performance Predictor Based on Study Habits
June 24, 2026 – Present
• Developed a Streamlit-based web application to predict student academic performance. • Implemented preprocessing techniques including label encoding and feature scaling. • Built and deployed a Logistic Regression model with an interactive user interface.
View ProjectHand Finger Counter using MediaPipe & OpenCV
June 24, 2026 – Present
• Developed a real-time hand gesture and finger counting application using MediaPipe and OpenCV. • Implemented hand landmark detection and finger tracking from live webcam input. • Displayed accurate finger counts with smooth real-time visual feedback.
View ProjectR Programming
Udemy
January 1, 2025 – Present
Power BI Workshop
Officemaster
January 1, 2025 – Present
Data Visualization Using Python
IBM
January 1, 2025 – Present
Introduction to Python
Saylor Academy
January 1, 2024 – Present
Fundamentals of Machine Learning
Microsoft
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity align well with a data-driven culture. The focus on practical applications (e.g., VQA system, student performance predictor) shows an interest in solving real-world problems. The pursuit of a Master's in Data Science indicates a commitment to the field. The internships, though short, show an initiative to gain industry exposure. The candidate appears to be a good fit for a learning-oriented and collaborative environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through multiple certifications and academic projects. The project descriptions indicate an ability to translate technical work into business insights (e.g., analyzing sales datasets, identifying trends). The remote internship experience suggests adaptability to distributed work environments. However, the overall experience is limited to internships and academic projects, which may require more guidance in a professional setting.