Ashish Ranjan Jha
Head of Machine Learning @ XYZ Reality | Computer Vision Advisor @ SUIND | 3x Published Author
About
Ashish Jha is a seasoned Deep Learning Expert with over 6.78 years of relevant experience in the field. Currently, he is associated with Suind, where he is responsible for developing cutting-edge deep learning models that can help solve complex business problems. Prior to this, he worked as a Co-Author at Packt, where he authored several books on Deep Learning, which gained widespread recognition in the industry. Ashish has also served as an Ambassador at Thought for Food, where he was responsible for leading and mentoring a team of young innovators to solve global food problems using technology. Ashish has an impressive educational background, having completed his MBA from Quantic School of Business and Technology in 2020. He also holds a Master's degree in Management from DOMS, IIT Roorkee, and a Bachelor's degree in Computer Science from the Institute of Technology. Additionally, he has completed a short-term course in Deep Learning from EPFL (École polytechnique fédérale de Lausanne), Switzerland. Ashish's technical expertise lies in Deep Learning and Machine Learning. He has worked extensively on various Deep Learning frameworks like TensorFlow and Keras, and has hands-on experience in building Deep Learning models for Computer Vision and Natural Language Processing. Overall, Ashish is a highly skilled Deep Learning Expert with a strong educational background and diverse industry experience. He is passionate about leveraging his expertise to solve complex business problems and drive innovation in the field of Deep Learning.
Education
• quantic school of business and technology
• epfl
• iit roorkee indian institute of technology roorkee
Companies
• xyz reality
• manning publications co.
• packt
• suind
• revolut
• tractable
• thought for food
• sentiance
• sony
• oracle
Experience
5.8 Years
Experience
Head of Machine Learning & Artificial Intelligence
xyz reality | London, England, United Kingdom · Hybrid
2024 - Present
Author - Fight Fraud with Machine Learning
manning publications co. | London Area, United Kingdom · Remote
2022 - Present
Author - Mastering PyTorch (Second Edition)
packt | London Area, United Kingdom · Remote
2022 - Present
Skills
Boost your visibility and stand out to employers with referrals from your LinkedIn connections.
Algorithms
analytics
Artificial Intelligence (AI)
Collaboration
Computer Vision
Convolutional Neural Networks (CNN)
Decision Trees
Deep Learning
GitHub
Logistic Regression
Machine Learning (ML)
Music
Neural Networks
Predictive Analytics
Prototyping
Pytorch
R
Recommendation system
Recurrent Neural Networks (RNN)
Reinforcement Learning
Research
Research Scientist
scalability
Sentiment Analysis
strategy
teaching
User Experience
User Experience (UX)
Vision
Contact Details
Email (Verified)
arjXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
quantic school of business and technology
Master of Business Administration - MBA
2019 - 2020
epfl
Master's degree (Distinction)
2014 - 2016
iit roorkee indian institute of technology roorkee
Bachelor of Technology (Distinction)
2009 - 2013
Find anyone’s contact and let Weekday reach out to them on your behalf
Start hiring nowStop manually filling job applications. Use AI to auto-apply to jobs
Look for jobs now