Saurabh

Ambernath, Konkan Division, Maharashtra, India
Saurabh
Experience: 1 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: Docker, MySQL, pandas, PostgreSQL, Python, Python3, PyTorch, R, Tableau
Previously worked at: Fortune 500, Startups
Assessment Score: 50
  • Educational Background
    Holds a Master’s degree in Data Science and Spatial Analytics from Symbiosis Institute of Geoinformatics (2023) and a Bachelor of Science in Computer Science from Mumbai University (2020).
  • Professional Experience
    Currently working as an IoT Developer at Experiential Etc, Mumbai, where he leads the development of AI-powered retail analytics solutions, achieving significant improvements in sales and inventory management across 100+ locations. Previously served as Assistant Manager at Axis Bank, managing MIS reporting and streamlining data processes for enhanced decision-making.
  • Technical Expertise
    Proficient in a variety of programming languages including Python, C++, and C#, with experience in platforms such as GCP, Docker, and Arduino IDE. Skilled in utilizing frameworks like PyTorch and TensorFlow for computer vision and machine learning tasks, and familiar with backend technologies like PHP, MySQL, and PostgreSQL.
  • Projects and Solutions
    Led the development of an advanced AIoT-powered retail analytics system with real-time customer tracking, dynamic heat mapping, and GDPR-compliant multi-store analytics. Engineered a facial recognition-based attendance system and an interactive learning project using IR sensors for enhanced engagement.
  • Machine Learning and Data Science Applications
    Extensive experience in applying machine learning, computer vision, and AI for real-world applications, including real-time analytics and multi-object detection, contributing to smarter decision-making in business and education sectors.
  • Problem-Solving and Innovation
    Demonstrated strong problem-solving abilities, particularly in designing and deploying scalable systems, such as multi-threaded processing for camera streams and adaptive performance optimization. Known for effective project management from concept to deployment, delivering impactful technological solutions.

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