Varthur, Bangalore, India - 560037
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17 Students 
UrbanPro Certified Tutor
For Data Science
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
15
Data science techniques
Machine learning, Artificial Intelligence, Python
Teaching Experience in detail in Data Science Classes
. Result‐driven IT professional with overall 15 years of experience in Software product development of which 5 years in Data Science and AI . Lead Analytical projects to drive insights and actions to improve operational efficiencies, customer experience, revenue growth, and profitability as part of the Digital Transformation . Hands-on experience with end-end solution delivery of Data & Analytics applications involving structured and unstructured data. . Experience in both Supervised and Unsupervised learning including Deep Learning, Regression, Clustering, Classification, Time-series Analysis, Anomaly detection, Text Mining, NLP. . Experience in Intelligent Document Processing Solutions(connectionist text proposal network, Tesseract, Google Vision, Google Document AI, Azure Form Recognizer, AWS Texaract, Azure Cognitive Search) . Experience in AIOP's solutions including Forecasting and Anomaly detection's in Content Delivery Networks with deep learning models . Experience in building Enterprise AI solutions for Factories including automating assembly line inspections. . Experience in building contextual assistants (RASA, AMAZON LEX) . Experience in Abbyy Vantage, Abbyy Flexi Capture, Para Script, Hyperscience . Atos Expert Community member . Experience with data visualization tools /libraries such as Plotly Dash, Matplotlib, Seaborn, Tableau, D3. . Solid understanding and expert knowledge of Agile and Traditional Project Management Principles/ Practices with the ability to blend them to fit project and business environment; well versed in Waterfall, Agile methodologies . Experienced in analyzing situations by using a systematic approach and identifying patterns and connections between them for creating an amicable and transparent environment while promoting employee communication across the organization
4.9 out of 5 22 reviews
Hema
Data Science
"He is very strong technically and provides a detailed explanation on each concept followed by a practical sessions and use cases. I gained more knowledge and confidence and I loved the classes. "
Reply by Pavan Balaji
Thank you and all the best for your career.
Valai Subramanian
Data Science With Python Training
"I attended machine learning / python session with pavan, the course content covered most of the important topics of ml and pre prepared lab helped save time. Pavan working as a full time principal data scientist in a leading software company made the training focused towards the industry needs and we are able to have lot of conversation on his experience with various organisation. "
Reply by Pavan Balaji
Thank you and all the best for your career.
Sharath
"The sessions were very practical and the teacher has good understanding of the concepts, overall I am very happy and I got a job post-training "
Devdarshan mohanthy
Data Science With Python Training
"I Have started the course on Data science and Python and Pavan is really interactive and explains properly with suitable scenarios. Really happy and satisfied with the course material and the way of presentation. "
Vijaykumar Kamitkar
"Pavan has good knowledge of data science and has explained the data science topics very well. Cleared all the doubts that I had. Very good instructor. "
Reply by Pavan Balaji
Thanks you Vijay
Balaji
"Very informative both practical and theoretical. If you are planning to change your career to datascience then this is the end for your search. "
Reply by Pavan Balaji
Thank you balaji
Basenth Mathew Thomas
"Pavan, is a very patient instructor, his teaching style is is very effective, his efforts are mostly around making you to a self sufficient ML practitioner. "
Reply by Pavan Balaji
Thank you Mathew
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What is a Time Series? Time Series data is a series of data points indexed or listed or graphed with an equally spaced period. Time series forecasting is the use of the model to predict future values...
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