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Lead Data Scientist at Salesforce
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Develop and Scale End to End business problems using GenAI, Deep Learning and Predictive Machine Learning techniques. Translate business problem into a data driven AI/ML solution.
The University of Texas at Dallas
Master’s Degree, Computer Science - Data Science
January 1, 2015 – January 1, 2017
Bangalore University
Bachelor’s Degree, Computer and Information Sciences, General
January 1, 2004 – January 1, 2008
Salesforce
Lead Data Scientist
February 1, 2021 – Present
Bengaluru, Karnataka, India
Nordstrom
Machine Learning Engineer
January 1, 2020 – January 1, 2021
Seattle, Washington, United States
Asurion
Machine Learning Engineer
October 1, 2017 – December 1, 2019
Greater Nashville Area, TN
Asurion
Data Science Intern
May 1, 2017 – August 1, 2017
San Francisco Bay Area
MathWorks
Technical Intern
January 1, 2017 – May 1, 2017
Natick, MA
Applied Materials
Senior Software Engineer
August 1, 2008 – July 1, 2015
Greater Bengaluru Area
Juniper Networks
Software Developer Internship
March 1, 2008 – May 1, 2008
Greater Bengaluru Area
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Big Data
The University of Texas at Dallas
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning software engineering, machine learning engineering, and data science across various companies like Salesforce, Nordstrom, and Asurion. This breadth of experience suggests adaptability. However, the target role is 'Data Analyst', which is a significant shift from 'Lead Data Scientist' and 'Machine Learning Engineer'. While the candidate possesses strong analytical skills, the focus of their recent roles has been more on model building and deployment rather than pure data analysis, which might indicate a potential mismatch in day-to-day responsibilities and expectations for a typical Data Analyst role. The certifications in Deep Learning and Big Data align with data-intensive roles but further emphasize a data science/ML focus.
Soft Skills & Operational Fit
The candidate's resume highlights experience in collaborating with R&D teams and translating business problems to AI/ML solutions, suggesting good collaboration and problem-solving skills. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.