Lead Data Scientist
Technical Architect
General Motors, Georgia
Previous: Fedex(Atos Syntel) & Credit Suisse (Capgemini)
Email: prasanna.soni11@gmail.com
GitHub: prasannasoni
LinkedIn
Technical Architect
General Motors, Georgia
Previous: Fedex(Atos Syntel) & Credit Suisse (Capgemini)
Email: prasanna.soni11@gmail.com
GitHub: prasannasoni
Brief Bio
With unique experience in project management and solution designing in Computer engineering and data science, I am uniquely positioned as a data scientist and project delivery expert for automotive, retail , banking and manufacturing industrial IoT domain. I bring cross functional expertise at the intersection of computer science, big data, statistics and business to provide quality and scalable solutions. Some of my interests include:
Career Aspiration
I like to position myself strategic leader and problem solver in the area of data science and take it to a successful delivery of apps. With 16 years of experience , delivering the projects on time is my strength along with unique solution capabilities. There are essentially five elements to a data scientist: data engineering, data visualization, machine learning, big data and cloud computing. We know that no one is perfect in all five areas.
I aim to be a specialist in two of these areas (machine learning, cloud computing) and a generalist in the other three along with my strength of problem solver. This allows me to deliver the complete lifecycle, from identifying the right problem, translating the problem in terms of data, getting the data and perform curatorial analysis, building the pipelines, analyzing data, building models, presenting findings and putting models in production. I aspire to handle it all.
Profile At-A-Glance
I hold a master's degree (MS) in computer science specialised in "DATA SCIENCE" from University of Illinois Urbana Champaign and a bachlers of engineering (B Eng) degree in computer science from Amaravati University.
Since last 5 years I am managing entire re-contracting space starting GM dealer management, Contract management and eSign. In this 5 years of journey, I have implemented self managed, AI based intelligent system such that business mistakes can be recovered automatically and send summery of it everyday morning, and reduced significant IT efforts via automation. In the past I have worked with FedEx(Atos Syntel) as a project manager and Solution Architect and implemented enterprise wide distributed multi repository analystics based Document management system that deals with millions of transactions related to shipment , finance, HR tracking and implemented AI based solution that manages life-cycle of shipment. Prior to FedEx, I worked in investment bank Credit Suisse (Capgemini) as a Europe lead.
With unique experience in project management and solution designing in Computer engineering and data science, I am uniquely positioned as a data scientist and project delivery expert for automotive, retail , banking and manufacturing industrial IoT domain. I bring cross functional expertise at the intersection of computer science, big data, statistics and business to provide quality and scalable solutions. Some of my interests include:
- Predictive maintenance of automotive, retail, banking and manufacturing
- Building auto configurable self managed apps using AI
- Logstash, Sensor, Image & video analytics for infrastructure monitoring
- Bridging the gap between project managment and delivery along with data driven modeling
- Building model agnostic explanations for black box ML methods in engineering
Career Aspiration
I like to position myself strategic leader and problem solver in the area of data science and take it to a successful delivery of apps. With 16 years of experience , delivering the projects on time is my strength along with unique solution capabilities. There are essentially five elements to a data scientist: data engineering, data visualization, machine learning, big data and cloud computing. We know that no one is perfect in all five areas.
I aim to be a specialist in two of these areas (machine learning, cloud computing) and a generalist in the other three along with my strength of problem solver. This allows me to deliver the complete lifecycle, from identifying the right problem, translating the problem in terms of data, getting the data and perform curatorial analysis, building the pipelines, analyzing data, building models, presenting findings and putting models in production. I aspire to handle it all.
Profile At-A-Glance
I hold a master's degree (MS) in computer science specialised in "DATA SCIENCE" from University of Illinois Urbana Champaign and a bachlers of engineering (B Eng) degree in computer science from Amaravati University.
Since last 5 years I am managing entire re-contracting space starting GM dealer management, Contract management and eSign. In this 5 years of journey, I have implemented self managed, AI based intelligent system such that business mistakes can be recovered automatically and send summery of it everyday morning, and reduced significant IT efforts via automation. In the past I have worked with FedEx(Atos Syntel) as a project manager and Solution Architect and implemented enterprise wide distributed multi repository analystics based Document management system that deals with millions of transactions related to shipment , finance, HR tracking and implemented AI based solution that manages life-cycle of shipment. Prior to FedEx, I worked in investment bank Credit Suisse (Capgemini) as a Europe lead.