Kumar Saurabh
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Data Scientist at Kyndryl
• Agentic AI Systems – Developed solutions for various domains including pharma, logistics, law, etc. using LangGraph and generative AI models (Technology, Public Sector) • Generative AI Solutions – Built applications for automated data labelling, text summarisation, and question answering system using Azure OpenAI, LangChain and Chroma Vector database. • Cloud Architecture – Designed and deployed AI-driven solutions on Azure and containerised environments using Docker and Nginx (IT Infrastructure) • Data Engineering – Implemented feature extraction and modelling pipelines using PySpark and Python for enterprise-scale datasets (Banking) • Team Leadership – Directed cross-functional data science teams to deliver end-to-end AI solutions from PoC to production (Multiple Industries) • Deep Learning Expertise – Applied PyTorch and TensorFlow for computer vision and text analytics projects (Healthcare & Retail) • Pre-sales Enablement – Defined and demonstrated data science use cases for clients in multiple domains (Consulting) • Certified Expertise – Having certifications in Azure, AWS, Google Cybersecurity, and Deep Learning
Indian Institute of Technology, Kharagpur
B. Tech, Mechanical
January 1, 1998 – January 1, 2002
Kyndryl
Associate Director
October 1, 2019 – Present
Mindtree
Senior Data Scientist
July 1, 2018 – September 1, 2019
Bengaluru, Karnataka, India
ArisGlobal
Associate Director
September 1, 2017 – June 1, 2018
Bengaluru/Mysuru, India
GE Aviation
Sr Staff Data Scientist
July 1, 2015 – September 1, 2017
JFWTC, Bangalore, India
GE Power & Water
Engineering Manager
February 1, 2008 – June 1, 2015
JFWTC, Bangalore, India
GE Aviation
Lead Engineer
September 1, 2005 – January 1, 2008
JFWTC, Bangalore, India
GE Aviation
Engineer
June 1, 2002 – August 1, 2005
JFWTC, Bangalore, India
Foundations of Secure Coding
Security Journey
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Google Cybersecurity Certificate
Coursera
June 24, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate
Microsoft
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Deep Reinforcement Learning Nanodegree
Udacity
June 24, 2026 – Present
Practical Time Series Analysis
Coursera
June 24, 2026 – Present
Scalable Machine Learning
edX
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Introduction to Big Data with Apache Spark
edX
June 24, 2026 – Present
GE Analytics Engineer
GE
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Statistical Learning
Stanford Online
June 24, 2026 – Present
Computing for Data Analysis
Coursera
June 24, 2026 – Present
Intro to Data Science
Udacity
June 24, 2026 – Present
Data Analysis and Statistical Inference
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long and varied career path, transitioning from mechanical engineering to data science and AI. This demonstrates adaptability and a continuous learning mindset. Experience across multiple industries (GE Aviation, GE Power & Water, ArisGlobal, Mindtree, Kyndryl) and diverse project types (engineering tools, data science applications, GenAI PoCs) suggests a broad perspective and ability to integrate into different organizational cultures. The extensive list of certifications further supports a proactive approach to skill development. However, the target role is 'Data Analyst', while the candidate's recent experience is heavily skewed towards 'Data Scientist' and 'Associate Director' roles, which might indicate a potential mismatch in expectations or a need to understand the candidate's motivation for an analyst role.
Soft Skills & Operational Fit
The candidate's resume indicates leadership experience in engineering and data science roles, suggesting strong operational fit and potential for team collaboration. The descriptions of designing PoCs and leading development efforts imply problem-solving and project management skills. However, without psychometric test results or interview data, specific soft skills like stress handling or communication clarity cannot be fully assessed.