Innovative and results-driven AI Developer and Data Analyst with a passion for leveraging machine learning, data analytics, and automation to optimize business operations and drive decision-making.
- Developed an AI-powered facial recognition system to automate employee attendance tracking.
- Used OpenCV and TensorFlow to detect and verify employees’ faces in real-time.
- Integrated with a database to maintain attendance records and generate reports.
- Built a predictive model using machine learning algorithms to forecast sales trends.
- Helped optimize inventory and staffing based on seasonal demand.
- Implemented natural language processing (NLP) to analyze customer feedback and identify key pain points.
- Used text classification models to categorize feedback as positive, neutral, or negative.
- Developed an AI-driven scheduling system to automatically generate optimized work shifts based on demand and employee availability.
Programming Languages: Python, SQL
AI & Machine Learning: TensorFlow, PyTorch, Scikit-learn
Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Power BI
Business Analysis: Tableau, Excel (Advanced), Google Analytics
Project Management: Agile, Scrum, Jira
Cloud Technologies: AWS, Google Cloud
Computer Vision: OpenCV, Face Recognition