saurav singla
  • London
  • United Kingdom
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Profile Information

Short Bio:
• Accomplished and high performing Analytical professional with 15+ years of experience in the application of analytics, business intelligence, machine learning, and statistics in multiple industries and 4 years of consulting experience and 5 years of managing a team
• Possess strong technical, business, and research proficiency that lends itself to developing core strategies and solutions with significant impact on revenue and ROI
• Expertise with the application of AI, Machine Learning, Deep Learning, Natural Language Processing
• Noteworthy experience in using Python, R, Tableau, SQL, and so on
• Demonstrated excellence in teaching the learners to grasp data science knowledge more engagingly by providing courses on Udemy marketplace with more than 21K learners enrolled
• Adept at mentoring data practitioners, enterprises, and startups to build high-performing teams, transform their business, and grow the industry
• Outstanding analytical abilities with effective leadership, problem-solving, decision-making, and interpersonal skills
Job Title:
Job Function:
AI/ML Models
Number of employees:
1 to 49
LinkedIn Profile:
Contributing, Networking, Finding a new position, New venture
Topics of Interest
Data Science, Machine Learning

Saurav singla's Blog

Is investing in AI the highest ROI opportunity?

Posted on March 3, 2021 at 4:00am 0 Comments

This article explores why AI is the highest ROI opportunity.…


For what reason Probability Important to Machine Learning?

Posted on August 6, 2020 at 1:30am 0 Comments

Machine learning is tied in with creating predictive models from uncertain data. Uncertainty implies working with imperfect or fragmented information.

In any case, we can oversee uncertainty utilizing the tools of probability.…


Introduction to Dropout to regularize Deep Neural Network

Posted on July 28, 2020 at 12:12am 0 Comments

Dropout means to drop out units which are covered up and noticeable in a neural network. Dropout is a staggeringly in vogue method to overcome overfitting in neural networks.

Deep Learning framework is now getting further and more profound. With these bigger networks, we can accomplish better prediction exactness. However, this was not the case a few years ago. Deep…


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