ASAnik Sardar
@user.2506035
Manager: Data Science and AI at Prophecy Sensorlytics India Pvt Ltd
Kolkata, India
Technical Project Manager with over 5 years of experience specializing in AI/ML applications for IoT platforms and a strong background in technical project management. Developed advanced classification models for detection devices, leading to published research and a granted patent. Leveraged predictive modeling and analytics to enhance quality control and monitoring, improving product quality and operational efficiency. Managed end-to-end project lifecycles and collaborated with cross-functional teams to deliver innovative, data-driven solutions across various projects.
Experience
Manager: Data Science and AI for IoT Platforms
Prophecy Sensorlytics India Pvt Ltd
Led cross-functional teams in developing AI/ML applications for IoT platforms, integrating microcontrollers (ESP32, Raspberry Pi), sensors. Managed end-to-end project lifecycles using Agile methodologies and Triple Constraint principles, including resource allocation, contingency planning, and stakeholder communication through project charters and status reports. Developed predictive models and machine learning algorithms using Python, scikit-learn, enhancing quality control and monitoring systems. Oversaw software development and integration maintaining proper versioning of code and models using GitHub, and focusing on APIs, databases. Created data visualizations and analytics dashboards using Streamlit, R Shiny, Power BI, enabling real-time monitoring and data-driven decision-making.
Mentor
Technology Innovation Hub, Indian Statistical Institute (ISI)
Mentorship contribution at Technology Innovation Hub, ISI Kolkata.
Keynote Speaker
DEEP 2022- National Conference
Keynote Speaker on Application of Machine Learning in Engineering Domain/Industry 4.0.
Data Analyst
Prophecy Sensorlytics India Pvt Ltd
Developed machine learning models (regression and classification) with scikit-learn and TensorFlow to improve device analytics. Created client-facing visualization dashboard using R-Shiny, Python-Flask framework. Used Matplotlib and Seaborn to present insights and support decision-making within engineering and science teams. Collaborated with developers to integrate analytical models into IoT applications and maintaining code versioning with GitHub.
Intern
Power System Protection Lab, IIEST
Artificial Single Phase Fault Simulation with Controlled Generation of DC Current.
Education
Indian Institute of Engineering Science & Technology (IIEST)
Integrated M. Tech
Electrical Engineering
Licenses & Certifications
Foundation of Project Management
Probability and Statistics for Business and Data Science
Udemy