Angad Sidhu

Highly skilled Data and AI Engineer with expertise in developing AI-driven solutions, data analysis, and supply chain optimization. Proficient in advanced SQL, Python, and machine learning frameworks, with hands-on experience in PowerBI and Tableau for data visualization. A strong team player with excellent communication skills, adept at leveraging AI to enhance operational efficiencies and drive actionable insights.

• CROWD WATCH
  • Integrated deep learning and computer vision to effectively detect crowd movement and crowd count using real time data given by CCTV footage and provide useful analytics.
  • Utilization of SASNet model for accurate object detection.
  • Implemented a robust alert system triggered by predefined crowd count thresholds, ensuring timely notifications to concerned authorities.
• AUTOMATED PEST DETECTION IN MAIZE CROP

          • Developed a deep learning object detection model to detect pest infestation of Fall Army Worm in Maize crop.

         • Performed data cleaning and applied augmentation for class balancing, fine tuned Yolov8 object detection model to achieved mAP (50) of 0.92 and mAP(50-90) of 0.95

        • Applied Eigen-CAM for better interpretability , enhancing the model’s ability to highlight areas of infestation.

• COSMETIC SUPPLY CHAIN ANALYSIS
  • Conducted supply chain analysis for cosmetics, haircare, and skincare products, examining price, availability, demographics, revenue, stock levels, transportation, and order quantity.
  • Created Tableau dashboards for real-time insights, demand forecast analysis.
  • Utilized Python (pandas, numpy, matplotlib, seaborn) to clean and preprocess data for accurate analysis and visualization.