R Suganya Sakthivel
Computer VisionAI/ML Specialist | PhD in 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
AI/ML Specialist | PhD in 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
Ph.D. graduate in Machine Learning from Anna University, Chennai, passionate about solving real-world problems through data analysis and modeling. Skilled in Python libraries like sklearn, Spacy, Pandas, and FastAPI, along with SQL databases (MySQL) and statistical analysis. Actively contributing to the data science community through projects and open-source contributions (https://rsuganyasakthivel.github.io/).
Anna University Chennai
Doctor of Philosophy - PhD, Computer Science
January 1, 2016 – January 1, 2022
College of Engineering, Guindy
Master's degree, Computer Science
June 1, 2013 – May 1, 2015
St. Xavier’s Catholic College of Engineering
Bachelor of Engineering - BE, Computer Science
January 1, 2006 – January 1, 2010
Accenture in India
Responsible AI Specialist
October 1, 2024 – Present
Motherson Technology Services
Machine Learning Engineer
April 1, 2022 – April 1, 2023
Client : SAINT-GOBAIN RESEARCH INDIA, IIT Madras Research Park, Chennai, Tamil Nadu, India · On-site
Anna University Chennai
Research Scholar
January 1, 2016 – December 1, 2021
Chennai, Tamil Nadu, India
Generative AI with Large Language Models
EDX Alumni
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background and relevant work experience. However, the lack of detailed project descriptions makes it difficult to assess the diversity of their practical application of skills and their alignment with specific team cultures. The 'Responsible AI Specialist' role suggests an awareness of broader societal impacts of AI, which can be a positive cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.