Senior Advisory Data Scientist, MS - Data Science
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Data Science Architect with a demonstrated history of working in the information technology and services industry. Skilled in Artificial Intelligence, Generative AI, Large Language Models, Machine Learning and Data Mining using R, Python, SQL, SAS. Strong research professional with a Master of Science focused in Data science from Southern Methodist University.
Southern Methodist University
Master of Science (MS), Data science
January 1, 2016 – January 1, 2018
Barkatullah University, Bhopal
Masters, Information Technology
N/A – Present
IBM
Senior Advisory Data Scientist - AI Build Lab
September 1, 2021 – Present
Coppell, Texas, United States
Amazon
Senior Big Data/ML Solution Architect @ Alexa AI
July 1, 2020 – November 1, 2021
CallMiner
Artificial Intelligence (AI) and Machine Learning (ML) Architect
August 1, 2019 – July 1, 2020
Fort Myers, Florida Area
NTT DATA
Enterprise Architecture Advisor
November 1, 2018 – August 1, 2019
Dallas/Fort Worth Area
Cognizant
Senior Manager - Artificial Intelligence and Analytics
July 1, 2008 – October 1, 2018
Dallas-Fort Worth Metroplex
Wipro Technologies
Senior Developer
December 1, 2006 – December 1, 2007
Pune/Pimpri-Chinchwad Area
Capgemini
Software Engineer
December 1, 2004 – December 1, 2006
Mumbai Metropolitan Region
CarWale
DBA
January 1, 2004 – November 1, 2004
Oracle Certified Professional
Oracle
June 24, 2026 – Present
Professional Certification: Level 2 - Master Certified Data Scientist
The Open Group
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background working with major companies like IBM, Amazon, NTT DATA, and Cognizant, indicating adaptability to various corporate cultures. The experience spans from hands-on development to advisory and architect roles, demonstrating a broad understanding of the data lifecycle. While the recent roles are heavily focused on AI/ML, the earlier experience aligns well with core data analysis principles. The target role 'Data Analyst' is a slight shift from recent 'Data Scientist' and 'AI Architect' roles, but the foundational data skills are highly relevant. The breadth of experience across different industries (banking, e-commerce, AI) suggests a versatile individual.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate leadership in cross-functional teams, collaboration with stakeholders, and a focus on delivering business value through data solutions. This suggests strong communication, problem-solving, and project management skills. The roles at IBM and Amazon highlight an advisory and solution architect capacity, implying strong client-facing and strategic thinking abilities. The long tenure at Cognizant (10+ years) suggests loyalty and consistent performance.