Data science is the study of data to gain important business insights. It combines concepts and methods from the domains of mathematics, statistics, AI, and computer engineering. We at Analytics Vidhya believe in Knowledge sharing, and that’s why we Organize DataHour Sessions every day so that you can Brush up on your Data Science Knowledge. You can enhance your Data Science knowledge by doing the following Things:
So Register Now for our Upcoming DataHour sessions and keep it up with Industry Experts.
Curiosity and Eagerness to Learn and Grow.
So don’t wait and Register Now for Upcoming DataHour Sessions hosted by our Industry Experts.
Arpit Yadav, Senior Data Scientist at INSOFE, will cover the following Topics:
About Speaker: Arpit Yadav, a Senior Data Scientist at INSOFE, also works as a Researcher in AIML. He works as a Freelancer Corporate Trainer in Python, Data Science, Machine Learning, Deep Learning, and Artificial Intelligence. Currently pursuing a Ph.D. in Machine Learning from SVVV Indore. Arpit has done PGP in Artificial Intelligence and Machine Learning from Texas Austin, USA.
Education: M.Tech in VLSI Design and B.E. in Electronics & Telecommunication Engineering.
Experience: 11+ Years of Experience in VLSI Research, Machine Learning, Data Science, and AI
Connect with Arpit Yadav on LinkedIn.
In this DataHour, Neena Sathi will Cover the following Topics:
About Speaker: Neena Sathi is a Principal at Applied AI Institute. She has worked in Senior Positions at Carnegie Group, Inc, an AI startup, Accenture, KPMG, and IBM.
Education: She has 3 master’s degrees, including MBA, from leading US universities. She is a Master’s certified integration architect from IBM and Open Group and a project management professional (PMP) from the Project management institute.
Experience: 30+ years of experience envisioning, designing, developing, and implementing AI solutions associated with enhancing customer experience, back office automation, and risk and compliance for 100 organizations.
Connect with Neena Sathi on LinkedIn.
In this DataHour, you will get to learn about:
RUL (Remaining Useful Life) estimation of a machine using sensor data using realistic multivariate time-series data for leveraging the power of deep neural networks hands-on. He will also focus on how you can build a DCNN (Deep Convolutional Neural Networks) model for the prediction.
About Speaker: Jidhu Mohan is currently working as Data Scientist with IBM System Labs. He is a passionate researcher and has filed 4 patents.
Education: M.Tech in Mechatronics Engineering
Experience: 10+ years of Experience with expertise in multi-disciplinary research fields like Industrial AI, Deep Learning, Machine Learning, NLP, KG, Predictive Modeling, Time Series Forecasting, Reinforcement Learning, Internet of Things (IoT), and Product Engineering.
Connect with Jidhu Mohan on LinkedIn.
In this DataHour, you will get to learn about:
Google Cloud Data pipeline is a platform that automates data transfer, process, and transformation between source and target repository. Vignesh Sekar will give you insights about Google Cloud and building big data ETL pipelines in Google Cloud Platform, and what the big data services offer. He will also explain how Data Processing frameworks work and what Services in GCP are involved in building ETL pipelines.
About Speaker: Vignesh is currently working as Cloud Data Engineer & Data Scientist with Deloitte.
Education: B.Tech. – BE, Electrical, Electronic, and Communications Engineering Technology/Technician.
Experience: He has 5+ years of IT experience in designing and implementing various machine learning models, ETL data pipelines, Data Analysis, Statistical analysis, Development, Testing, and Productizing ML models and data pipelines and has worked in the domains of Healthcare, Retail and Airlines.
Connect with Vignesh Sekar on LinkedIn
An efficient ML model needs proper preparation and classification of the data to be fed into a particular algorithm. In this DataHour, Kartik will guide you about the core requirement of being a data scientist/ ML expert. He will further practically demonstrate how to build Classification ML models from scratch.
About Speaker: Kartik is a Data scientist in American Express and a Data Analytics mentor at Udacity.
Education: B.Tech. in Computer science.
Experience: He has Experienced in both Services and Product Based Organizations, where he created & delivered E2E Data Science & ML-based solutions (product development) in the Commercial Services & Logistics domain.
Connect with Kartik Garg on LinkedIn.
DataHour sessions are the best source to Enhance your knowledge. You can attend these sessions from anywhere. So don’t wait for more and Register today for the above Upcoming sessions. Keep track of the website for Future webinars as we believe in COMMUNITY FIRST! If you have missed previous DataHour sessions, then read its synopsis here.
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