
Senior AI Engineer at IQVIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data scientist, Experience in developing data automation systems using machine learning, deep learning and image processing algorithms. Experience in python, strong knowledge in linear, logistics, multiclass & multivariate regression, classification and clustering techniques, neural networks, kernels, dimensionality reduction techniques, SVD, SVM, PCA…
Amrita university, coimbatore
MTech, Remote Sensing
January 1, 2013 – January 1, 2015
MES ENGINEERING COLLEGE, KUTTIPPURAM
Bachelor of Technology - BTech, Electronics and communication engineering
January 1, 2009 – January 1, 2013
IQVIA
Machine Learning Engineer
June 1, 2025 – Present
IQVIA
Senior AI Engineer
October 1, 2021 – June 1, 2025
IQVIA
AI Engineer
March 1, 2019 – October 1, 2021
Cognub Decision Solutions
Senior AI Engineer
August 1, 2017 – February 1, 2019
Thiruvananthapuram, Kerala, India
Cognub Decision Solutions
Data scientist
August 1, 2016 – August 1, 2017
Thiruvananthapuram, Kerala, India
Innoplexus Consulting Services Pvt. Ltd.
Data Scientist
November 1, 2015 – June 1, 2016
Pune
Bosch
Intern at Research and Technology centre
January 1, 2015 – August 1, 2015
Investigation and Enhancement of online learning based approach for Visual object tracking.
January 1, 2015 – Present
Algorithm development for visual object tracking. * Benchmarking and performance evaluation is done to choose best performing object tracker: * Selected one online learning based tracker and improved its performance by incorporating scale variation and to recover from failure. * Finally a novel adaptive appearance model is introduced using particle filtering framework.
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Big data fundamentals
Big Data University
June 24, 2026 – Present
Image and video processing: From Mars to Hollywood with a stop at the hospital
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning and AI Engineering, with a strong focus on algorithm development and data science. While these skills are adjacent to Data Analyst roles, the depth of experience in pure data analysis, reporting, dashboarding, and business intelligence is not explicitly detailed. The project diversity is limited to AI/ML applications. This suggests a potential mismatch with a pure Data Analyst role, which typically requires a broader set of data manipulation, visualization, and business understanding skills beyond core ML model development. The candidate's career trajectory appears to be more aligned with advanced analytical or ML engineering positions.
Soft Skills & Operational Fit
The candidate's resume indicates a progression through various AI/ML roles, suggesting adaptability and a capacity for growth. The project descriptions, while brief, highlight problem-solving skills in complex domains like visual object tracking and NLP. However, without specific details on team collaboration, project management, or communication within a team context, a comprehensive assessment of soft skills and operational fit is limited.