Drowsiness Detection System
→
Summary
Engineered a real-time system for driver fatigue detection, enhancing safety and monitoring capabilities.
Highly motivated and detail-oriented B.Com graduate with specialized certifications in Data Science and Database Management, seeking to leverage expertise in real-time systems and data-driven solutions. Proven ability to develop and deploy machine learning models, optimize system performance, and extract actionable insights from complex datasets. Eager to contribute to innovative projects that enhance operational efficiency and drive business value in a dynamic tech environment.
Data Science Intern
→
Summary
Led data science and machine learning initiatives, developing real-time systems and data-driven solutions to enhance operational efficiency and business insights.
Highlights
Successfully completed a 6-month intensive training program in Data Science and Machine Learning with Python, gaining hands-on expertise in advanced analytical techniques and model development.
Developed and deployed real-time computer vision projects, including Drowsiness Detection and Face Mask Detection, leveraging OpenCV and Keras for robust object recognition and behavioral analysis.
Engineered comprehensive Employee and Customer Management Systems using MySQL for data storage and management, integrating NLTK for sentiment analysis to derive actionable insights from customer feedback.
→
Bachelor
Commerce
Grade: 6.7/10
Courses
Data Analysis
Financial Analyst
DBMS
Power BI
SQL
→
High School Diploma
Intermediate
Issued By
ONLEI TECHNOLOGIES
Python, SQL, Jupyter Notebook, Git.
OpenCV, dlib, Streamlit, NLTK, Pandas, NumPy, Matplotlib, Seaborn, Keras.
Natural Language Processing (NLP), Sentiment Analysis, Computer Vision, Text Preprocessing, Real-Time Video Processing, MySQL Database Management, Data Visualization, Machine Learning, Data Analysis.
→
Summary
Engineered a real-time system for driver fatigue detection, enhancing safety and monitoring capabilities.
→
Summary
Developed a robust sentiment analysis model to classify and interpret customer feedback from a large dataset of Amazon reviews.
→
Summary
Built a full-stack system for managing employee records, streamlining HR operations and data access.