Profilbillede af theableone
@theableone
Flag for India New Delhi, India
Medlem siden 11. juni 2017
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theableone

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I am a machine learning engineer with expertise in computer vision, and I can help solve your challenging problems by employing deep learning/ machine learning algorithms. I am a Face recognition Expert and I have 3+ years of experience in this domain and have got my hands dirty working on different subfields of machine learning. I can create high performance, lightweight deep learning models, so that you can deploy them on light devices like mobile phones. I have excellent communication skills and am available 24x7 > Computer Vision: Facial recognition, LPR & OCR, Machine learning(Tensorflow, Caffe...), Object detection & classification(Yolo, Tensorflow, Caffe, Mtcnn, Adaboost, SVM), Gesture recognition and gesture-controlled gaming, and pose estimation. > Chatbot Development: Dialogflow, FlowXO, Botsify, and Haptik. >Technical Writing: Computer science, Machine Learning, Tutorials, Gadgets, and Research articles. I am looking forward to work for you. Thank you
$20 USD/hr
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0.0
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Portfolio

Nylige bedømmelser

Ingen bedømmelser.

Erfaring

Machine Learning Engineer - Computer Vision

Sep 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 Scientist

Sep 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 Scientist

Jan 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.

Uddannelse

B. Tech - Computer Science

2012 - 2016 (4 years)

Kvalifikationer

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.

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