Prashant Kumar — AI Researcher
I am a Data & AI professional with 7+ years of experience in building and deploying data-driven solutions that solve critical business problems across domains like finance, supply chain, and marketing. Currently working in the Digital Transformation team at M&G, I lead initiatives that span GenAI product development, data engineering, and machine learning. My work involves designing scalable cloud-based architectures, managing end-to-end pipelines, and enabling automation through AI technologies. Recent focus areas include: Designing and deploying GenAI solutions (NLP-based complaint handling engines using BERT, XGBoost, and automation pipelines) RAG Pipelines for Fund PDF to extract Fund data Leading PoC to production deployments of AI products that optimize manual processes and improve efficiency Driving AI-enabled development workflows, with systems structured to integrate tools like GitHub Copilot and support faster development/testing cycles Building and managing Azure DevOps pipelines for robust CI/CD and model deployment Implementing full-scale data pipelines on Azure using Data Factory, Databricks, SQL, and ADLS Creating self-serve dashboards and insight platforms using Power BI for business stakeholders I follow a strong SDLC approach to data projects, ensuring traceability, governance, and scalability from design to deployment. As an interim delivery lead, I have managed teams, worked with 20+ stakeholders, and ensured smooth communication between business and tech. I have worked on large-scale solutions involving: * Complaint classification and fraud detection * Customer segmentation and journey optimization * Pension and asset data handling for the UK market * Campaign analytics and operational reporting My goal is to build AI-native systems that are production-ready, scalable, and business-aligned—whether it’s through classic ML, GenAI, or hybrid approaches.
Stackforce AI infers this person is a Data Science and AI professional with a focus on logistics and digital transformation.
Location: Mumbai, Maharashtra, India
Experience: 7 yrs 6 mos
Skills
- Data Science
- Machine Learning
- Data Engineering
- Business Intelligence (bi)
- Supply Chain Optimization
- Data Visualization
- Data Analysis
- Business Analysis
Career Highlights
- 7+ years in Data & AI solutions
- Expert in GenAI and machine learning deployment
- Strong leadership in digital transformation initiatives
Work Experience
M&G plc
Analytics Manager (3 yrs 9 mos)
DHL Supply Chain
Senior Business Analyst - Analytics and Insights Team (2 yrs 2 mos)
Business Analyst - Data Analytics (11 mos)
Hansa Cequity
Data Analyst (3 mos)
Gradeup (Gradestack Learning Pvt Ltd)
Associate (8 mos)
Indian Institute of Technology Gandhinagar
Pioneer Fellows - Explorer Fellowship (2 mos)
ISRO - Indian Space Research Organisation
Research Trainee (1 mo)
Education
Master of Technology - MTech at Birla Institute of Technology and Science, Pilani
Bachelor of Technology (B.Tech.) at Indian Institute of Technology Gandhinagar
Class X at Adwaita Mission High School
Class XII at St. Joseph's High School
