Baijnath K.

Data Scientist

Gurgaon, Haryana, India11 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed advanced models for supply chain optimization.
Created innovative tools for real-time analytics.
Demonstrated excellence in hackathons and AI projects.

Stackforce AI infers this person is a Data Scientist specializing in AI-driven solutions for Supply Chain and Business Intelligence.

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Skills

Core Skills

Machine LearningData Science

Other Skills

Amazon BedrockAmazon Web Services (AWS)Analytical SkillsArtificial Intelligence (AI)Azure Cognitive ServicesAzure DatabricksAzure OpenAIBootstrap (Framework)Cascading Style Sheets (CSS)Computer ScienceData AnalysisData MiningData PreparationData VisualizationDatabases

About

As a passionate and results-driven Data Scientist, I specialize in developing advanced models and tools that drive business insights and operational efficiency. With a strong background in data science, machine learning, and generative AI, I am committed to solving complex problems and creating innovative solutions. My work as an AI Engineer further enhances my ability to deliver impactful results across various domains. Key Achievements: • Supply Chain Optimization: Developed a hierarchical forecasting model that enhances supply chain management by predicting future demands with greater accuracy. • Product Demand & Segmentation: Created product demand forecasting and segmentation models that enable targeted analysis and strategic decision-making. • Cost Efficiency: Built a purchase price variance tool using Azure OpenAI, helping businesses maintain cost control and improve financial planning. • Real-Time Analytics: Designed and deployed a real-time demand sensing application using WatsonX.ai, providing timely insights that drive agile responses to market changes. • Custom Automation: Developed and integrated a custom copilot with Power BI, streamlining processes and enhancing user experience. Hackathon Participation: • Participated in the MS Copilot hackathon (Azure OpenAI Studio), where I demonstrated my ability to innovate under pressure. • Engaged in WatsonX.ai Generative AI hackathons twice, showcasing my commitment to continuous learning and staying at the forefront of AI advancements.

Experience

11 yrs 7 mos

Total Experience

11 yrs 7 mos

Average Tenure

11 yrs 7 mos

Current Experience

Ibm india

3 roles

Manager (Job title - Data Scientist)

Promoted

Oct 2022 – Present · 3 yrs 8 mos

GenAI: -
Led, developed, and deployed the GenAI project in production with 96% accuracy.
Participated in AWS Agentic hackathon 2025
Participated in MS Agentic hackathon 2025, our team — iOps Warriors — won 2nd place at the Microsoft + IBM Agentic AI Hackathon 2025!
Built a purchase price variance tool utilizing Azure OpenAI.
Created a real-time demand sensing application using WatsonX.ai.
Developed and integrated a custom copilot with Power BI.
Participated in the MS Copilot hackathon (Azure OpenAI Studio).
Took part in WatsonX.ai (Generative AI) hackathons twice.
Data science:
Developed a hierarchical forecasting model for supply chain management.
Created a product demand forecasting model.
Developed a product segmentation model for targeted analysis.

Machine LearningData ScienceStatisticsIBM CloudPythonMicrosoft Azure Machine Learning+15

Deputy manager - Job title ( Data Scientist)

Jun 2018 – Oct 2022 · 4 yrs 4 mos

Developed an invoice date prediction and customer segmentation model.
Deployed model on IBM cloud
Managed and automated data collection processes by scripting and overseeing SFTP servers with Python, deploying both the model and automation scripts on cloud platforms.
Created and maintained Python scripts to merge unstructured text files and convert them into Excel format, ensuring accurate date formatting in Excel data.
Responsible for automating file uploads to SFTP servers using Python, improving operational efficiency.
Developed and maintained over 15 VBA scripts to automate data preparation and consolidation, integrating Python for enhanced performance.

Python (Programming Language)SQLMachine LearningData ScienceStatisticsMicrosoft Azure Machine Learning+2

Assistant Manager – Job title (Strategy Consultant)

Oct 2014 – May 2018 · 3 yrs 7 mos

Designed and developed SQL queries for efficient data manipulation and retrieval.
Conducted data analysis to uncover trends, patterns, and actionable insights.
Collaborated with cross-functional teams to troubleshoot and resolve database-related issues.
Automated data upload and consolidation processes using Python, improving operational efficiency.
Developed and delivered accurate and insightful reporting dashboards.
Scheduled automated data processing jobs using IBM Cloud, ensuring timely execution of tasks.
Implemented an RPA solution using Win Automation to streamline billing operations:
Automated the launch and execution of VBA Macros in billing Excel files.
Transferred customer payment details from Excel into Prime Biller after validation.
Integrated exception and error-handling mechanisms to manage anomalies during automation.