
Senior Manager, Machine Learning at Dialpad
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced applied scientist specialized in leading teams that build large scale machine learning/deep learning-based solutions for natural language processing and computer vision applications.
National College of Ireland
Master's degree, Data Analytics
January 1, 2014 – January 1, 2015
Visvesvaraya Technological University
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering
January 1, 2007 – January 1, 2011
Dialpad
Senior Manager, Machine Learning
April 1, 2024 – Present
Dialpad
Machine Learning Manager
October 1, 2020 – April 1, 2024
Dialpad
Tech Lead, Natural Language Processing
May 1, 2020 – October 1, 2020
Dialpad
Senior Applied Scientist
April 1, 2019 – April 1, 2020
Accenture
Artificial Intelligence Associate Manager
January 1, 2019 – March 1, 2019
Accenture
Artificial Intelligence Specialist
February 1, 2016 – January 1, 2019
IBM Research, Ireland
Research Intern
June 1, 2015 – August 1, 2015
Dublin, Ireland
Wealth-X, India
Team Lead
October 1, 2012 – August 1, 2014
Mysuru Area, India
Wealth-X, India
Research Analyst
April 1, 2012 – October 1, 2012
Mysuru Area, India
Certificate in Innovation Leadership
Massachusetts Institute of Technology
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in AI/ML, which is a related but distinct field from pure Data Analysis. While there's overlap, the candidate's experience is heavily skewed towards advanced ML/AI roles rather than core data analysis, reporting, or business intelligence. The target role 'Data Analyst' might be a step down in terms of technical complexity compared to their recent roles as 'Senior Manager, Machine Learning'. This could indicate a potential mismatch in expectations or a desire to shift focus. The breadth of skills listed is primarily within AI/ML, with 'Data-Driven Decision Making' being the only explicitly mentioned skill relevant to data analysis across multiple roles. This suggests a strong fit for data-intensive environments but a potential gap in traditional data analyst toolsets or methodologies.
Soft Skills & Operational Fit
The candidate's career progression from individual contributor to senior management roles suggests strong leadership, project management, and team collaboration skills. Experience in AI/ML indicates an analytical mindset and problem-solving capabilities. However, specific details on communication and stress handling are not available from the provided data.