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Machine Learning Engineer - Computer VisionSep 2018 - Jun 2019 (9 months)
1. Implemented computer vision algorithms in Python for solving challenging real-world problems. 2. Came up with large scale data collection techniques for training Deep - Neural Nets. 3. Drove the development of new algorithms that dramatically improve our existing methods 4. Researched and maintained state-of-the-art ML/CV algorithms that can analyze satellite images. 5. Worked on the development of a chatbot and deployed it for various social media handles of the company.
Data ScientistSep 2017 - Aug 2018 (11 months)
1. Selected features and built and optimized classifiers using machine learning techniques. 2. Data mining using state-of-the-art methods 3. Enhanced data collection procedures to include information that is relevant for building analytic systems 4. Processed, cleaned, and verified the integrity of data used for analysis. 5. Did ad-hoc analysis and presented results in a clear manner. 6. Created automated anomaly detection systems and constantly tracked its performance.
Data ScientistJan 2016 - Jul 2017 (1 year)
A brief of all the work I did at this organization 1. Analyzed data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies. 2. Assessed the effectiveness and accuracy of new data sources and data gathering techniques. 3. Developed custom data models and algorithms to apply to data sets 4. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
B. Tech - Computer Science2012 - 2016 (4 years)
Google Kick starter (2019)Google
The startup I worked for was selected as part of the Google Kickstarter initiative, where I got the opportunity of working with top ML engineers at Google.