"Vivek Chaudhary currently works as a freelance data scientist and has worked with different product-based & EdTech startups. He has published one of the best-selling books on Amazon, “Data Investigation-EDA the right way”. His areas of expertise are applied statistics, EDA, data cleaning techniques, and feature engineering and process to building statistical models. According to him “Building Assumptions” is the important factor to apply statistical tools in real-time. If you can’t build assumptions, then no matter how much you learn at the end, it will be difficult to apply statistical techniques. He has mentored 200+ professionals to start their journey and helped them understand applied statistics & EDA.

Ankit Shukla is a self-taught data scientist working in the data space since 2014. He is well versed in deep learning, machine learning and Big Data technologies and holds a bachelor’s in engineering from Birla Institute of Technology, Mesra with a major in Biotechnology. His focus areas include Predictive Modelling, Recommender Systems and Natural Language Processing. He is deeply passionate about data science and is always on a look out to give back to the community. His other published works include a paper on developing an enterprise recommender system, 2 papers on Generative Adversarial Networks and the book - Big Data Analysis with Python.

Abdul Rehman is a Machine learning engineer with years of industry-level experience for building power and intelligent machine learning applications, and the founder at Pythnist.org. Which is a place to learn Python technologies, including web development, machine learning, and Data Science.

Michael Onuorah has worked with Databases, Data Warehouses and Big Data Systems in various over the last 20 years. His experience has been in deploying databases, big data systems and data warehouses, focusing on systems of records, systems of engagement, while improving data operations, and transforming data flow within organizations. He has certifications from the Project Management Institute, Oracle, Amazon, NoSQL databases and in Lean Six Sigma. He has also been teaching and managing databases, big data and data warehouse systems and he believes that data is the interconnecting factor across all Industry 4.0 technologies. Michael sees data as the future, however, he strongly believes that the data is the detail, so we must mine and analyze the data until it gives us the relevant insight that we need.

Ashwin Pajankar is a Science Popularizer, a Programmer, a Maker, and an Author. He holds a Master of Technology in Computer Science and Engineering from International Institute of Information Technology Hyderabad (IIIT-H). Ashwin has published more than a dozen of books on Python Programming, Test Automation, Raspberry Pi, Computer Vision, Arduino, and Supercomputing with reputed global publishers like Packt, Apress, Leanpub, and BPB. He has earned many professional certifications in the areas of development, administration, and testing from Oracle, IBM, Informatica, Teradata, and ISTQB. He has over a decade of work experience in a few big brands like Cisco Systems and Cognizant in technical roles. He also has worked in a couple of startups in technical leadership roles.

Oindrila Sen data enthusiast who has 10+ years of experience in analyzing, visualizing and working with Data. She is a Data Scientist who is currently working on a Customer Retention project for her client. She works in collecting, cleaning, extracting new features and Visualizing Text Data to get an insight. She also publishes her work on different platforms. She is passionate about Data and NLP since a text can tell you a whole new story.

Shantanu Das is a seasoned author for many DevOps courses like Puppet, Microservices, Terraform & Azure DevOps. He has a worked as a Site Reliability Engineer with solid hands-on experience in Google Cloud and Microsoft Azure technologies in Cloud/DevOps practice, architecting solutions along with migrating, managing supporting enterprise suite of applications. He has helped fortune 500 companies in automating build and deployments of code which needs to be shipped to different environments. Also, he has experience in hosting and supporting dockerized applications via Kubernetes on GCP, support Google managed Hadoop/data proc clusters along with ETL solutions built on top of Airflow backed by Hive and MySQL DB.

Ahmed Ibrahim has taught more than 300,000 developers and engineers from over 175 countries around the world. He has experience with many programming languages and tools. He also possesses proficient knowledge and experience in Software Engineering and Data Science with skills to analyze, design, and develop. He has a Bachelor's degree in Electrical, Communications, and Computer Engineering."