Principal Technical Architect AI/ML @ Snowflake | Data Science, AI Development
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The diversity of experiences has given me a very logical and broad outlook, with varying degrees of knowledge in a range of topics like Insurance, IT-software product, Data Warehousing Concept as ETL/ELT (including Apache Spark, Hive, HBase, Sqoop), Data lakes, Data Mesh, BI reporting, and Data Science.• Pursuing Data Science certification from Harvard Extension School and completed John Hopkins Coursera data science program. Experience in AWS and IBM cloud. Working knowledge of Python ML Libraries (sckit-learn), spark ML. Looking forward to opportunities to work in modern warehouse solutions like Data lakes, and deep dive into Data Science and AI
Harvard University
Four-course professional graduate -level certificate in Data Science, Data Science
January 1, 2017 – January 1, 2018
Indian Institute of Technology, Kharagpur
Master of Technology - MTech, Civil Engineering
January 1, 2003 – January 1, 2005
North Eastern Regional Institute of Science and Technology (NERIST)
Bachelor of Technology - BTech, Civil Engineering
January 1, 1999 – January 1, 2003
Snowflake
Principal Technical Architect AI/ML
June 1, 2022 – Present
Snowflake
Senior Solutions Architect
May 1, 2022 – June 1, 2024
IBM
Data Scientist and Software Engineer
February 1, 2018 – April 1, 2022
Littleton Mass
Harvard Extension School
Data Science and Machine learning
February 1, 2017 – May 1, 2018
Greater Boston
IBM
BI Software Engineer
March 1, 2015 – August 1, 2016
IBM
Staff software developer
September 1, 2010 – March 1, 2015
Teradata
Asst Consultant DataStage and Terdata
February 1, 2010 – September 1, 2010
Mumbai Metropolitan Region
IBM
Software Engineer
January 1, 2010 – March 1, 2015
Reliance Nippon Life Insurance
Asst Manager IT
February 1, 2008 – December 1, 2009
Mumbai Metropolitan Region
Patni Computer Systems
Software Engineer
June 1, 2005 – February 1, 2008
Mumbai Metropolitan Region
Data Cloud Deployment Framework
Snowflake
June 24, 2026 – Present
SnowPro Specialty: Gen AI Certification
Snowflake
June 24, 2026 – Present
SnowPro Core Certification
Snowflake
June 24, 2026 – Present
4-course DataScience Certification -Harvard University Extension
Harvard Extension School
June 24, 2026 – Present
Python for Data Science
IBM
June 24, 2026 – Present
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
Practical Machine Learning
Coursera
June 24, 2026 – Present
Regression Models- Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
Docker Essentials: A Developer Introduction
IBM
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
IBM Certified Solution Developer - InfoSphere DataStage v8.5
IBM
June 24, 2026 – Present
IBM BigData Fundamentals Technical Professional v1
IBM
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning multiple companies (IBM, Teradata, Snowflake) and roles, indicating adaptability to different organizational cultures. The transition from traditional BI/ETL to modern Data Science and AI/ML demonstrates a proactive approach to skill development and alignment with evolving industry trends. The target role of 'Data Analyst' might be a step down from their recent 'Principal Technical Architect AI/ML' role, which could indicate a potential mismatch in ambition or a strategic career shift. The breadth of certifications and continuous learning initiatives suggests a strong growth mindset.
Soft Skills & Operational Fit
The candidate's extensive experience in various roles, including architect and data scientist, suggests strong problem-solving and analytical skills. The progression through different companies and roles indicates adaptability and a capacity for continuous learning. However, without specific project details or behavioral assessment data, it is difficult to fully assess collaboration, leadership, or communication soft skills.