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Ankit Agarwal

Ankit Agarwal

119 Followers
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Personal Information
Organization / Workplace
Noida Area, India India
Occupation
Data Science ( Data Analytics ) & Database Architecture
Industry
Technology / Software / Internet
Website
http://brazenly.blogspot.in/
About
​With around 10 years of relevant experience in Data Architecture , Data Science (Data Analytics / Data Mining ) and Project Management, I have worked in domains like BFSI, E-Commerce and Healthcare. I carry experience of working with clients like Mastercard,eBay,CVS et al . These days I am working several Data Science / Analytics initiatives using R . Key Strengths: 1. Data Architecture and Date Science / Data Analytics and Visualization (using R) 2. Deep understanding of Statistics / Predictive (Prescriptive) Modeling / Pattern Recognition / Machine learning / Natural Language Processing / Data mining concepts. 3. Database/Datawarehouse Design and Management/Administration (SQL Serv.
Contact Details
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Documents

(1)

Recipe for Successful Ideation

10 years ago • 582 Views

Likes

(4)
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Architecting a Fraud Detection Application with Hadoop

DataWorks Summit • 10 years ago

TextMining with R

Aleksei Beloshytski • 13 years ago

Data Visualizing with R

Baan Bapat • 12 years ago

R by example: mining Twitter for consumer attitudes towards airlines

Jeffrey Breen • 14 years ago
Personal Information
Organization / Workplace
Noida Area, India India
Occupation
Data Science ( Data Analytics ) & Database Architecture
Industry
Technology / Software / Internet
Website
http://brazenly.blogspot.in/
About
​With around 10 years of relevant experience in Data Architecture , Data Science (Data Analytics / Data Mining ) and Project Management, I have worked in domains like BFSI, E-Commerce and Healthcare. I carry experience of working with clients like Mastercard,eBay,CVS et al . These days I am working several Data Science / Analytics initiatives using R . Key Strengths: 1. Data Architecture and Date Science / Data Analytics and Visualization (using R) 2. Deep understanding of Statistics / Predictive (Prescriptive) Modeling / Pattern Recognition / Machine learning / Natural Language Processing / Data mining concepts. 3. Database/Datawarehouse Design and Management/Administration (SQL Serv.

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