6 yrs of Exp 
4 students 
Kandivali West, Mumbai Details verified of Vinay Borhade✕
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Online Classes Great lesson, great teacher!! He is friendly, kind, knowledgable and great fun to talk with. He knows what is important for Data Science learners and also what we need to do to improve quickly.Started from basics and now i am able to easily get into things which were once very hard to try or almost impossible.Thanks a lot vinay sir.
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Mumbai University 2004
Bachelor of Engineering (B.E.)
Kandivali West, Mumbai, India - 400067
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
6
Course Duration provided
1-3 months, 3-6 months
Seeker background catered to
Corporate company, Educational Institution, Individual
Certification provided
Yes
Python applications taught
Scipy Stack with Python , Data Visualization with Python, Web Scraping with Python , Data Science with Python, Automation with Python , Data Analysis with Python , Data Extraction with Python , Machine Learning with Python, Regular Expressions with Python , Text Processing with Python
Teaching Experience in detail in Python Training classes
1000+ enthusiasts students, professionals and corporate executives groomed in last 6 years in Python and Machine Learning.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
6
Data analysis concepts taught
Time Series Analysis, Survival Analysis, Prediction Analytics, Regression Analysis, Stochastics Processes, Cluster Analysis
Teaching Experience in detail in Data Analysis Classes
1000 + enthusiasts students, professionals and corporate executives groomed in last 6 years.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
6
Data science techniques
Artificial Intelligence, Machine learning
Teaching Experience in detail in Data Science Classes
1000+ enthusiasts students, professionals and corporate executives groomed in last 6 years.
5 out of 5 3 reviews
Ansari Mohammed ibrahim
"Great lesson, great teacher!! He is friendly, kind, knowledgable and great fun to talk with. He knows what is important for Data Science learners and also what we need to do to improve quickly.Started from basics and now i am able to easily get into things which were once very hard to try or almost impossible.Thanks a lot vinay sir. "
Reply by Vinay
Thanks for your feedback.
Vinay Waingankar
"Vinay sir is experienced trainer. He explained all complex concept in easy way & where those concepts actually use in Industries. Vinay Sir is highly motivated and dedicated. "
Reply by Vinay
Thanks for your feedback.
Zaid
"Really enjoyed data science courses of vinay sir's session as it was quite interesting and very knowledgeable. "
Reply by Vinay
Thanks for your feedback.
Have you attended any class with Vinay?
Answered on 24/10/2018
Ask a Question
Post a Lesson
Being a B.E. Computers it was natural to get a job in an IT organization. Got to work on several technologies since last 14 years and understood the Insurance and Finance (Investment Banking) domains. To sum it all, the applications we created were more or less CRUD operations on data, a bit of data massaging and data presentation on Dasboards. Somewhere around 2014, while working for an IB, got introduced to concepts of Variations/Deviations, Monte Carlo simulations, Anova etc which are normal to Quantitative analysis for banks. These were statistical concepts overall to understand the variations amongst data. It helped me overall to draw conclusions on historical bank data or features and find correlations. However, what was missing was explaining the behavior in different scenarios or in presence or absence of some features (or data varibles to be simple). Given some statistical background i could dive into the easiest of Machine Learning techniques like Regressions (Linear, Logistics). All the efforts were to perform the exploratory data analysis. Around in a year since, I decided to get my hands dirty into predictive analysis, in essence to analyze the trend and forecast an event or numbers given historical trend. Exposing myself to decision trees, SVM , clustering algoritgms like KNN, apriori and FP for rules mining, I got to understand the world of ML. Initially, I could create models but improvng the accuracy and tuning them furthermore was a challenge. That's when I started taking the concepts seriously and tried to grab some material to grasp mathematics behind those models, which took around 6-8 months but was worth it. Now, having explored the world of as AI and ML, with sound industry experience, I have been training data science aspirants through reputed learning centres and few private tutoring for professionals. Recently, I have also began work on predictive analysis on my stock portfolio, in attempt to run a start-up.
The journey from IT peprogramm to a data scientist wasn't as easy as picking a book and reading about, but required good amount of efforts to practice on variety of data.
For a non IT professional, additional challenge would be to grasp a programming language, like R or Python, which is must to try you hands on the concepts.
Best of luck!!
Like 0 
Answers 1 
Comments Ask a Question
Also have a look at
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
6
Course Duration provided
1-3 months, 3-6 months
Seeker background catered to
Corporate company, Educational Institution, Individual
Certification provided
Yes
Python applications taught
Scipy Stack with Python , Data Visualization with Python, Web Scraping with Python , Data Science with Python, Automation with Python , Data Analysis with Python , Data Extraction with Python , Machine Learning with Python, Regular Expressions with Python , Text Processing with Python
Teaching Experience in detail in Python Training classes
1000+ enthusiasts students, professionals and corporate executives groomed in last 6 years in Python and Machine Learning.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
6
Data analysis concepts taught
Time Series Analysis, Survival Analysis, Prediction Analytics, Regression Analysis, Stochastics Processes, Cluster Analysis
Teaching Experience in detail in Data Analysis Classes
1000 + enthusiasts students, professionals and corporate executives groomed in last 6 years.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
6
Data science techniques
Artificial Intelligence, Machine learning
Teaching Experience in detail in Data Science Classes
1000+ enthusiasts students, professionals and corporate executives groomed in last 6 years.
5 out of 5 3 reviews
Ansari Mohammed ibrahim
"Great lesson, great teacher!! He is friendly, kind, knowledgable and great fun to talk with. He knows what is important for Data Science learners and also what we need to do to improve quickly.Started from basics and now i am able to easily get into things which were once very hard to try or almost impossible.Thanks a lot vinay sir. "
Reply by Vinay
Thanks for your feedback.
Vinay Waingankar
"Vinay sir is experienced trainer. He explained all complex concept in easy way & where those concepts actually use in Industries. Vinay Sir is highly motivated and dedicated. "
Reply by Vinay
Thanks for your feedback.
Zaid
"Really enjoyed data science courses of vinay sir's session as it was quite interesting and very knowledgeable. "
Reply by Vinay
Thanks for your feedback.
Have you attended any class with Vinay?
Answered on 24/10/2018
Ask a Question
Post a Lesson
Being a B.E. Computers it was natural to get a job in an IT organization. Got to work on several technologies since last 14 years and understood the Insurance and Finance (Investment Banking) domains. To sum it all, the applications we created were more or less CRUD operations on data, a bit of data massaging and data presentation on Dasboards. Somewhere around 2014, while working for an IB, got introduced to concepts of Variations/Deviations, Monte Carlo simulations, Anova etc which are normal to Quantitative analysis for banks. These were statistical concepts overall to understand the variations amongst data. It helped me overall to draw conclusions on historical bank data or features and find correlations. However, what was missing was explaining the behavior in different scenarios or in presence or absence of some features (or data varibles to be simple). Given some statistical background i could dive into the easiest of Machine Learning techniques like Regressions (Linear, Logistics). All the efforts were to perform the exploratory data analysis. Around in a year since, I decided to get my hands dirty into predictive analysis, in essence to analyze the trend and forecast an event or numbers given historical trend. Exposing myself to decision trees, SVM , clustering algoritgms like KNN, apriori and FP for rules mining, I got to understand the world of ML. Initially, I could create models but improvng the accuracy and tuning them furthermore was a challenge. That's when I started taking the concepts seriously and tried to grab some material to grasp mathematics behind those models, which took around 6-8 months but was worth it. Now, having explored the world of as AI and ML, with sound industry experience, I have been training data science aspirants through reputed learning centres and few private tutoring for professionals. Recently, I have also began work on predictive analysis on my stock portfolio, in attempt to run a start-up.
The journey from IT peprogramm to a data scientist wasn't as easy as picking a book and reading about, but required good amount of efforts to practice on variety of data.
For a non IT professional, additional challenge would be to grasp a programming language, like R or Python, which is must to try you hands on the concepts.
Best of luck!!
Like 0 Answers 1 Comments Ask a Question
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