Prashant K Email & Phone Number

Welcome to my LinkedIn! I am Prashant Kumar, a passionate Data Scientist with a robust foundation in mathematics and data science, and a proven track record of success in innovative project implementation.At Pharmech Technologies in Mumbai, I spearheaded key projects as a Data Scientist from April 2020 to August 2022. My expertise in Python, R, and SQL played a crucial role in developing a predictive model for solar power consumption, contributing significantly to the field of renewable energy. My hands-on experience with advanced ML algorithms using Keras and PyTorch, coupled with front-end development skills in React, has led to significant improvements in operational efficiency, evidenced by a 40% reduction in disruptions. My work didn't just stop at the development; I also mastered deployment, using AWS tools like SageMaker and Docker, and visualization tools like QuickSight and Tableau to create impactful, data-driven dashboards.My academic journey at the University at Buffalo, SUNY, for a Master of Science in Data Science (Sept 2022 - Dec 2024), and my previous stint at the Indian Institute of Science Education and Research Mohali, India, for a Master’s in Mathematics, has been foundational in shaping my analytical and problem-solving skills. I've honed my expertise in diverse areas like algorithm analysis, statistical learning, and numerical computation, which have been pivotal in my professional assignments.I pride myself on being a lifelong learner and an innovator. My work has spanned various domains, from developing a Python-based library management system at the University at Buffalo to leading a team in a customer churn analysis project in the banking sector. These experiences have not only enhanced my technical skills but also bolstered my leadership and team management capabilities.As an AWS Cloud Practitioner and recipient of the prestigious INSPIRE scholarship, my journey is a blend of continuous learning and practical application. I've led teams, driven membership growth in key clubs at IISER, and contributed significantly to the scientific community. I am always looking to connect with professionals and enthusiasts in the field of data science and technology to share insights, collaborate on projects, or explore new opportunities. Let's connect and explore how we can drive the future of data science and technology together!

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  Software Engineer

  Pharmech Technologies

  Apr 2018 - Aug 2022 - Mumbai, Maharashtra, India

  ▪Delivered an interactive full stack web portal, combining a Node.js and Express.js backend with a React frontend elevating user engagement and user experience boosting web portal efficiency by 25% by incorporating RESTful services and PostgreSQL.▪Applied advanced data structures and algorithms in Python and Java for efficient handling of customer installation and repair requests and for seamless task scheduling and technician assignment reducing response time by 25%. ▪Curated and developed a predictive model for solar power consumption and grid exports using a two-year Solar Irradiance time-series dataset from four plants, utilizing Python, R, and SQL for the solar project. ▪Engineered a Python-based predictive maintenance system using ML, Deep Learning, through data-driven predictions ,integrating Spark for scalable data processing and analysis, decreasing system failures by 30% and improved uptime.▪Architected a distributed system with AWS Lambda, SNS, and S3 for serverless operations, messaging and storage in dashboard, supplemented by Redis cache and Kafka for data handling leading to 5000 new users onboarding.▪Deployed optimized ML models on AWS using SageMaker, managed QuickSight, Tableau for insightful dashboards and AWS Timestream for time-series data management.▪Designed and implemented predictive maintenance system with TensorFlow, integrating NumPy and Pandas, NLP libraries NLTK, spaCy, by analyzing, and manipulating unstructured IoT data in MEP systems, decreasing system failures by 30% and improved uptime.▪Collaborated with Data science, and infrastructure teams, harnessing Git, ensuring delivery of a full-fledged, integrated solution reducing maintenance downtimes by over 40%,

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  University At Buffalo

  3.5