Sai Guruju
Data AnalystEngineer | ML
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
Engineer | ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Indian Institute of Technology, Delhi
Bachelor's degree, Electrical Engineering
January 1, 2013 – January 1, 2017
Salesforce
Lead Member of Technical Staff
March 1, 2024 – Present
Observe.AI
Lead Machine Learning Engineer
April 1, 2022 – February 1, 2024
Observe.AI
Senior Machine Learning Engineer
October 1, 2020 – April 1, 2022
Observe.AI
Machine Learning Engineer
August 1, 2019 – October 1, 2020
VMock
Software Engineer - ML
June 1, 2017 – July 1, 2019
Gurgaon, India
Samsung Research Institute
Student Trainee
May 1, 2016 – July 1, 2016
Bengaluru, Karnataka, India
Curofy
Backend Intern
May 1, 2015 – July 1, 2015
Gurugram, Haryana, India
Bayesian Methods for Machine Learning
Coursera
June 24, 2026 – Present
Introduction to Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory is heavily focused on Machine Learning Engineering and related research, with significant experience in developing and deploying ML models. The target role is 'Data Analyst'. While there is an overlap in data-related skills, the candidate's experience leans more towards advanced ML model development and deployment rather than traditional data analysis, reporting, or business intelligence. This suggests a potential mismatch in the day-to-day responsibilities and core focus of the target role. The candidate's experience is highly specialized in ML, which might be overqualified or misaligned for a typical Data Analyst role unless the role has a strong ML/data science component.
Soft Skills & Operational Fit
The candidate's resume highlights contributions to platform stability, conducting PoCs, and presenting findings, suggesting strong problem-solving, analytical, and communication skills. Their progression to lead roles indicates leadership potential and ability to manage complex projects. However, specific soft skills like teamwork, adaptability, and conflict resolution are not explicitly detailed.