Machine Learning Engineer and Data Scientist, skilled in artificial intelligence with 4 years of industry experience in creating and training machine learning models in python and R, also proficient in gathering, cleaning, organizing and extracting meaningful insights from data for use by technical and non-technical personnel.
Using a combination of statistical analysis and machine learning techniques to uncover patterns, trends, and correlations within the data, helping the organization make informed choices and optimize their operations based on data-driven insights. Actively involved in designing telematics based AI algorithms for our safety devices that are installed in trucks for accident prevention
Worked in the Applied AI team as a account lead on SKY Brazil and Masmovil Spain. Leading a team of 6 people composed of data scientists and data engineers. Working on machine learning algorithms to optimize the agent/caller interactions.
Worked as a part of the Applied AI team on SKY Brazil and Masmovil Spain. Focused on making machine learning algorithms to optimize the agent/caller interactions.
Taught computer vision applications in python to a class of 60 second and third year students.
Worked as a ML researcher with Dr.Ihsan Ayyub Qazi and Dr.Zafar Ayyub Qazi on the publication "Deconstructing Google's Web Light", published in 2020 International World Wide Web Conference.
Machine Learning
Data Science
Computer Vision
Algorithm Implementation
Statistical Analysis
Big Data Analytics
Teacher-Class Network: A Neural Network Compression Mechanism
Publication date: October 15, 2021
Published in: British Machine Vision Conference 2021
Link: https://arxiv.org/abs/2004.03281
Deconstructing Google's Web Light Service
Publication date: April 22, 2020
Published in: The Web Conference 2020
Link: https://dl.acm.org/doi/abs/10.1145/3366423.3380168