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Overview

I am a seasoned Data Scientist with over a decade of experience, specializing in the FMCG (Fast-Moving Consumer Goods) industry. My journey in the data domain has equipped me with a versatile toolkit, including Python, PySpark, Pandas, NumPy, and more. I excel in Machine Learning, both supervised and unsupervised, leveraging data for predictive analytics. My passion for NLP and AI, particularly large language models and generative AI, enables me to extract actionable insights from unstructured data.

Languages Spoken

English Proficient

Hindi Proficient

Education

BPUT 2012

Bachelor of Technology (B.Tech.)

Address

Whitefield, Bangalore, India - 560066

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Teaches

Data Science Classes

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

10

Data science techniques

Machine learning, Artificial Intelligence, Python

Reviews

No Reviews yet!

FAQs

1. Which classes do you teach?

I teach Data Science Class.

2. Do you provide a demo class?

Yes, I provide a free demo class.

3. How many years of experience do you have?

I have been teaching for 10 years.

Answers by Ashis Sahu (1)

Answered on 31 May Learn IT Courses/Data Science

Imagine you have a group of friends, and you want to categorize them based on their movie preferences. Each friend can prefer different genres, like Action, Comedy, Drama, etc. Let's say you have the following data: | Friend | Favorite Genre 1 | Favorite Genre 2 ||---------|-------------------|------------------||... ...more

Imagine you have a group of friends, and you want to categorize them based on their movie preferences. Each friend can prefer different genres, like Action, Comedy, Drama, etc. Let's say you have the following data:

| Friend | Favorite Genre 1 | Favorite Genre 2 |
|---------|-------------------|------------------|
| Alice | Action | Comedy |
| Bob | Drama | Comedy |
| Carol | Action | Drama |
| Dave | Comedy | Action |
| Eve | Drama | Action |

Fuzzy K-Modes helps in grouping friends based on their movie preferences, allowing for overlaps where a friend can belong to multiple groups to varying degrees. This approach is particularly useful when preferences are not clear-cut, and people can like more than one genre.

Answers 6 Comments
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Teaches

Data Science Classes

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

10

Data science techniques

Machine learning, Artificial Intelligence, Python

No Reviews yet!

Answers by Ashis Sahu (1)

Answered on 31 May Learn IT Courses/Data Science

Imagine you have a group of friends, and you want to categorize them based on their movie preferences. Each friend can prefer different genres, like Action, Comedy, Drama, etc. Let's say you have the following data: | Friend | Favorite Genre 1 | Favorite Genre 2 ||---------|-------------------|------------------||... ...more

Imagine you have a group of friends, and you want to categorize them based on their movie preferences. Each friend can prefer different genres, like Action, Comedy, Drama, etc. Let's say you have the following data:

| Friend | Favorite Genre 1 | Favorite Genre 2 |
|---------|-------------------|------------------|
| Alice | Action | Comedy |
| Bob | Drama | Comedy |
| Carol | Action | Drama |
| Dave | Comedy | Action |
| Eve | Drama | Action |

Fuzzy K-Modes helps in grouping friends based on their movie preferences, allowing for overlaps where a friend can belong to multiple groups to varying degrees. This approach is particularly useful when preferences are not clear-cut, and people can like more than one genre.

Answers 6 Comments
Dislike Bookmark

Ashis Sahu describes himself as Transforming Data into Actionable Insights: Experienced Data Scientist with FMCG knowledge. He conducts classes in Data Science. Ashis is located in Whitefield, Bangalore. Ashis takes Online Classes- via online medium. He has 10 years of teaching experience . Ashis has completed Bachelor of Technology (B.Tech.) from BPUT in 2012. HeĀ is well versed in English and Hindi.

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