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Product development | Python | AWS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Specialized in solving data related challenges using machine and deep learning algorithms.
SCMS GROUP OF INSTITUTIONS
Post graduate diploma in Management, Marketing, Systems and Operations
January 1, 2014 – January 1, 2016
St. Joseph's College Of Engineering
bachelor of Mechanical Engg, Mechanical Engineering
January 1, 2009 – January 1, 2013
CGI
Lead Analyst
July 1, 2025 – Present
Bengaluru, Karnataka, India · On-site
Quest Global
Senior Software Engineer
July 1, 2021 – July 1, 2025
Bengaluru, Karnataka, India · Remote
Idexcel
Data Scientist
November 1, 2018 – July 1, 2021
Bengaluru, Karnataka, India · On-site
Atom360
Data Scientist
July 1, 2017 – August 1, 2018
Bengaluru, Karnataka, India · On-site
AWS Solutions Training for Partners: Machine Learning on AWS – Technical (Digital)
Amazon Web Services (AWS)
June 24, 2026 – Present
Data Science and Analytics Career Paths and Certifications
June 24, 2026 – Present
Capstone Business Simulations
Capsim Management Simulations, Inc.
June 24, 2026 – Present
The Basics of Data for Analytics
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse project environments, from financial statement processing to medical image segmentation and platform development. This breadth indicates adaptability. The progression from Data Scientist to Senior Software Engineer and Lead Analyst shows a willingness to take on different technical challenges. However, the target role of ML Engineer requires a strong focus on ML systems, and while the candidate has ML experience, the recent roles lean more towards general software engineering and platform development, which might require a re-focus.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest problem-solving abilities (e.g., improving VM security, saving debugging time, detecting scalability issues) and a project-oriented approach. The role as 'Lead Analyst' and 'Senior Software Engineer' implies leadership and collaboration, though specific soft skill examples are not detailed.