Bachelor of Engineering graduate with hands-on experience in Artificial Intelligence, Machine Learning, Computer Vision, and Full-Stack Development. Proficient in Python, OpenCV, Scikit-learn, YOLOv8, Django, ReactJS, and MongoDB, with experience developing real-time AI-driven applications for healthcare and education domains.
Skilled in machine learning model development, data analysis, computer vision, and end-to-end software development. Strong analytical and problem-solving abilities with a passion for building innovative, scalable, and user-centric technology solutions.
Airobosoft Products and Services Limited
Bengaluru, Karnataka
Developed machine learning models for predictive analytics and data-driven decision making. Performed data preprocessing, feature engineering, and exploratory data analysis using Python. Created data visualizations and dashboards to present insights from complex datasets. Implemented classification and regression algorithms using Scikit-learn.
Utilized Pandas, NumPy, and Matplotlib for data manipulation and visualization. Evaluated model performance using accuracy metrics and optimization techniques. Participated in AI project development lifecycle including data preparation, model building, testing, and documentation. Strengthened skills in Artificial Intelligence, Machine Learning, Data Science, and Python Programming.
ELite
Collected, cleaned, and analyzed large datasets to identify trends, patterns, and actionable business insights. Performed data preprocessing and transformation using Python and Excel to improve data quality and accuracy. Created interactive dashboards and visual reports to support data-driven decision-making. Utilized data visualization tools and techniques to present complex information in a clear and understandable format.
Conducted exploratory data analysis (EDA) to uncover key performance indicators and business metrics. Worked with datasets using Pandas, NumPy, and Excel for data manipulation and analysis. Generated analytical reports and presentations, helping stakeholders understand data trends and opportunities. Enhanced skills in Data Analytics, Data Visualization, Statistical Analysis, and Business Intelligence through hands-on projects.
CGPA: 8 / 10
Pre-University
62%
SSLC
86.24%
Tech Stack: Python, OpenCV, YOLOv8, Face Recognition, Django REST Framework, ReactJS, MongoDB
Developed a real-time classroom monitoring system using YOLOv8 and face recognition for automated attendance and engagement tracking. Implemented live face recognition to reduce proxy attendance and generate automated attendance logs.
Built student behavior analysis features to detect mobile phone usage and measure attention levels. Designed a full-stack dashboard for attendance analytics, engagement reporting, and classroom monitoring.
Tech Stack: Python, OpenCV, Scikit-learn, Streamlit
Developed a real-time gait analysis system using OpenCV and machine learning for neurological disorder detection. Extracted gait features from video data and trained SVM and Random Forest models for classification. Optimized model performance through feature engineering and cross-validation. Created a Streamlit application for real-time prediction and user-friendly healthcare accessibility.
Airobosoft Products and Services Limited
Python Basics, Programming Fundamentals (Parts I & II), Microsoft Power BI, Deep Learning with Python, Introduction to Cyber Security, Hands-on Game AI Development
Eyesec Cyber Security Solutions Pvt. Ltd.
ExcelR EdTech Pvt. Ltd., Bengaluru