About Me
Data Scientist with expertise in developing machine learning models, data visualization, and predictive analytics. Proficient in Python, C/C++, Java, R, and SQL, with a strong focus on uncovering actionable insights from complex datasets. Adept at leveraging data to solve business challenges and improve decision-making processes. Seeking to contribute technical and analytical expertise to drive innovation and optimize performance in a dynamic organization.
Work Experience
Intern - Aspee Spring Limited, EDP Department
July 1, 2023 - August 31, 2023
- Assisted in the development and implementation of electronic data processing systems.
- Collaborated with the team to analyze data and optimize processes.
- Gained hands-on experience with data management tools and software.
Projects
- Monochromatic Image to RGB Converter: Developed a Python program to convert grayscale images to RGB using OpenCV and NumPy. Implemented efficient colorization techniques with custom schemes and validated accuracy.
- Human Activity Recognition: Built a machine learning model using smartphone sensor data to classify human activities. Preprocessed the UCI HAR dataset and achieved high accuracy with Scikit-learn.
- Moving Object Detection: Designed a motion detection system using live camera feeds with CSV-based logging for object tracking. Utilized Pandas for real-time data analysis.
Education
- Bachelor of Technology (B.Tech) in Artificial Intelligence & Data Science: World College of Technology & Management, Graduation Year: 2025
- 12th Grade (Non-Medical): C.B.S.E Board, Percentage: 55%, Year: 2021
- 10th Grade: C.B.S.E Board, Percentage: 65%, Year: 2019
Skills
- Programming Languages: Python, C/C++, Java, R, HTML, CSS
- Data Science Technologies: OpenCV, NumPy
- Data Analysis: Data visualization, predictive analytics
- Machine Learning: Experience with developing machine learning models
- Tools: Jupyter, TensorFlow, VS Code, Eclipse, Android platform development
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