Analytics Manager - Deloitte Advisory at Deloitte

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 Server, DB2, MongoDB,MySQL)

4. Passion for continuous Innovation (Ideation,Gamification etc.) and love for challenges/complex assignments.

5. Ability to work in a fast-paced environment with Strategic thinking and Methodical cum Tactical Execution.

6. Excellent History of teamwork & willingness to roll up the sleeves to get the job done

7. Ability to manage multiple, competing priorities simultaneously with high attention to details including precise and effective customer communications

8. Excellence in Leadership, Client Interaction, Team Management.

Visit Ankit's Blog

- 1345
- Big Data, Analytics, Business Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowLast year I wrote about an excellent book on R Web Scraping , however, with the advent of new amazing packages in R each day, web scraping is becoming far more interesting and...

- 503
- Big Data, Analytics, Business Intelligence

Scraping News Articles and Storing in DatabaseAnkit AgarwalNews Scrapping from www.mirror.co.ukAd: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowLet us first scrap some news from Mirror. This should be pretty straightforward using package XML and RCurl.library(XML)library(RCurl)library(stringr)#url <- "http://www.mirror.co.uk/news/world-news/paris-terror-suspect-salah-abdeslam-8071573"## Read the HTML of the web page#SOURCE <- getURL(url,encoding="UTF-8") ## Parse the HTML file and generate an R structure representing the XML/HTML tree#PARSED <- htmlParse(SOURCE)## Get Title , Author, Date/Time and Text/Content#(title <- xpathSApply(PARSED, "//h1[@itemprop='headline name']",xmlValue) )## [1] "\nParis terror suspect Salah Abdeslam 'flew into rage' over 24-hour surveillance in his 11 sq m cell\n"## Remove newline operator from title (\n)#(title <- gsub("\\n", "", title) )## [1] "Paris terror suspect Salah Abdeslam '...

- 676
- Big Data, Analytics, Artificial Intelligence

R Graphics Tutorial SeriesAd: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowDuring one of the recent R workshops I conducted in my organization, one of my colleague asked for the reference material for "Graphics using R" and ...

- 782
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowIn this first part of the Tutorial Series R : Graphics Tutorial Series ( Part 1 ) , we learnt the basics of R Base Graphics while in the second part of the Series R : Graphics Tutorial Series ...

- 627
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowIn this first part of the Tutorial Series R : Graphics Tutorial Series ( Part 1 ) , we learnt the basics of R Base Graphics while in the second part of the Series R : Graphic...

- 456
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowIn this first part of the Tutorial Series R : Graphics Tutorial Series ( Part 1 ) , we learnt the basics of R Base Graphics while in the second part of the Series R : Graphics Tutorial Series ...

- 691
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowThis is the second part of understanding the Base-Graphics in R . In this first part of the Tutorial Series R : Graphics Tutorial Series ( Part 1 ) , we learnt the basics of R Base Graphics.In ...

- 684
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowIn this first part of the Tutorial Series R : Graphics Tutorial Series ( Part 1 ) , we learnt the basics of R Base Graphics while in the second part of the Series R : Graphics...

- 1232
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowSince the time I have got hold of this excellent book R in Action by Rob Kabacoff , I have been intrigued by the power of Graphics in R. This book not only comprises of some excellent material ...

- 170
- Big Data, Analytics, Business Intelligence

All About Web ScrapingAnkit AgarwalIn this document, we would cover Basics of Web Scraping using R and thereafter add loads of examples to make it easier for anyone to scrap any website using these examples as reference.Testing a URLvar=201401url## function (description, open = "", blocking = TRUE, encoding = getOption("encoding"), ## method) ## {## if (missing(method)) ## method <- getOption("url.method", "default")## method <- match.arg(method, c("default", "internal", "libcurl", ## "wininet"))## .Internal(url(description, open, blocking, encoding, method))## }## <bytecode: 0x0000000007a05708>## <environment: namespace:base>url=paste("http://stats.grok.se/json/en/",var,"/web_scraping",sep="")#browseURL(url) # This should open a browser if URL is correctFetching Datavar=201401url=paste("http://stats.grok.se/json/en/",var,"/web_scraping",sep="")raw.data <- readLines(url,) raw.data## [1] "{\"daily_views\": {\"2014-01-15\": 779, \"2...

- 271
- Big Data, Analytics, Business Intelligence

R : Statistical Analysis (Hypothesis Testing)- Ankit AgarwalWith so many different types of Statistical Tests for Hypothesis Testing, it becomes a nighmare for a non-statistical guy like me to identify the right test for a specific scenario. Thus I decided to take a stab at it and write this detaile...

- 360
- Big Data, Analytics, Business Intelligence

In my previous Blog, some interesting Visualizations and Text Mining were done on the Plane Crash data while in another Text Mining Blog, some interesting Text Mining techniques and Visuals were used to Analyze the Plane Crash data. In this article we would perform Predictive Modeling using Advanced...

- 1452
- Big Data, Analytics, Business Intelligence

R : Text Mining and Detailed Analysis of Plane Crash Data using Various TechniquesIn this Blog I will be Analysing the Plane Crash Data for Plane Crashes from 1908-2009.In my previous Blog, some interesting Visualizations were done on the Plane Crash data while in this article we w...

- 2159
- Big Data, Analytics, Business Intelligence

R: Visualizing Plane Crash Data using Some Interesting Graphs/charts Including googleVis and Great Circle onesIn this Blog I will be visualizing the Plane Crash Data that for Plane Crashes from 1908-2009The Plane crash data covers -- Total Casualties : 113,830- Total Crashes : 5,26...

- 211
- Big Data, Analytics, Business Intelligence

Simulating UNPIVOT using dynamically generated SQL for Column to Rows conversion (Transpose) in SQL ServerWe often face the challenge of transposing the data to view the data in different dimensions. With the advent of JSON, use of Key-Value pair has become far more common giving r...

- 175
- Big Data, Analytics, Business Intelligence

A Fact is a Fact is a FactA fact table is used in Dimensional Model in Data Warehouse design. A fact table is found at the center of a Star Schema or Snowflake Schema surrounded by Dimensional Tables.A fact table consists of facts of a particular business process e.g., sales revenue by month by pro...

- 120
- Big Data, Analytics, Business Intelligence

All About Bridge TablesBridge tables are used to express a many-to-many relationship between a fact and a dimension table. In dimensional modeling, the bridge tables are primarily used for two reasons:To solve the complex unbalanced hierarchies problem as discussed next in “Unbalanced hierarchy”...

- 138
- Big Data, Analytics, Business Intelligence

A Panacea for Web Scraping (using R) for Data ScientistsDuring one of my projects, I wanted to collect some data related to the reviews for an item from some e-commerce websites to do some rudimentary Text-Analytics. In order to collect the reviews from different websites, I wanted...

- 297
- Big Data, Analytics, Business Intelligence

I was wondering if R is just about Data or there is something else we can do with R. While constant work in R was making me soporific, I thought I should try something interesting and I stumbled upon an article that talked about the equation we may use to plot a Heart shaped graph. That was enough t...

- 175
- 1
- 1
- Big Data, Analytics, Business Intelligence

Inspired by the blog around running-paths on FlowingData.com, I thought I should try to plot latitude and longitude for Bengaluru city and see which are the places where people run or places for which people upload data on mapmyrun.Another purpose of this blog is to share some interesting methods to...

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 Server, DB2, MongoDB,MySQL)

4. Passion for continuous Innovation (Ideation,Gamification etc.) and love for challenges/complex assignments.

5. Ability to work in a fast-paced environment with Strategic thinking and Methodical cum Tactical Execution.

6. Excellent History of teamwork & willingness to roll up the sleeves to get the job done

7. Ability to manage multiple, competing priorities simultaneously with high attention to details including precise and effective customer communications

8. Excellence in Leadership, Client Interaction, Team Management.

Visit Ankit's Blog

- 1345
- Big Data, Analytics, Business Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowLast year I wrote about an excellent book on R Web Scraping , however, with the advent of new amazing packages in R each day, web scraping is becoming far more interesting and...

- 503
- Big Data, Analytics, Business Intelligence

Scraping News Articles and Storing in DatabaseAnkit AgarwalNews Scrapping from www.mirror.co.ukAd: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowLet us first scrap some news from Mirror. This should be pretty straightforward using package XML ...

- 676
- Big Data, Analytics, Artificial Intelligence

R Graphics Tutorial SeriesAd: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowDuring one of the recent R workshops I conducted in my organization, one of my colleague asked for the reference material for "Graphics using R" and ...

- 782
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowIn this first part of the Tutorial Series R : Graphics Tutorial Series ( Part 1 ) , we learnt the basics of R Base Graphics while in the second part of the Series R : Graphics Tutorial Series ...

- 627
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowIn this first part of the Tutorial Series R : Graphics Tutorial Series ( Part 1 ) , we learnt the basics of R Base Graphics while in the second part of the Series R : Graphic...

- 456
- Big Data, Analytics, Artificial Intelligence

- 691
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowThis is the second part of understanding the Base-Graphics in R . In this first part of the Tutorial Series R : Graphics Tutorial Series ( Part 1 ) , we learnt the basics of R Base Graphics.In ...

- 684
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowIn this first part of the Tutorial Series R : Graphics Tutorial Series ( Part 1 ) , we learnt the basics of R Base Graphics while in the second part of the Series R : Graphics...

- 1232
- Big Data, Analytics, Artificial Intelligence

Ad: 50000 Data Science Jobs Globally | Over 10000 Hours of Free Data Science Video Tutorials:- Register NowSince the time I have got hold of this excellent book R in Action by Rob Kabacoff , I have been intrigued by the power of Graphics in R. This book not only comprises of some excellent material ...

- 170
- Big Data, Analytics, Business Intelligence

All About Web ScrapingAnkit AgarwalIn this document, we would cover Basics of Web Scraping using R and thereafter add loads of examples to make it easier for anyone to scrap any website using these examples as reference.Testing a URLvar=201401url## function (description, open = "", blocking = TRUE, ...

- 271
- Big Data, Analytics, Business Intelligence

R : Statistical Analysis (Hypothesis Testing)- Ankit AgarwalWith so many different types of Statistical Tests for Hypothesis Testing, it becomes a nighmare for a non-statistical guy like me to identify the right test for a specific scenario. Thus I decided to take a stab at it and write this detaile...

- 360
- Big Data, Analytics, Business Intelligence

In my previous Blog, some interesting Visualizations and Text Mining were done on the Plane Crash data while in another Text Mining Blog, some interesting Text Mining techniques and Visuals were used to Analyze the Plane Crash data. In this article we would perform Predictive Modeling using Advanced...

- 1452
- Big Data, Analytics, Business Intelligence

R : Text Mining and Detailed Analysis of Plane Crash Data using Various TechniquesIn this Blog I will be Analysing the Plane Crash Data for Plane Crashes from 1908-2009.In my previous Blog, some interesting Visualizations were done on the Plane Crash data while in this article we w...

- 2159
- Big Data, Analytics, Business Intelligence

R: Visualizing Plane Crash Data using Some Interesting Graphs/charts Including googleVis and Great Circle onesIn this Blog I will be visualizing the Plane Crash Data that for Plane Crashes from 1908-2009The Plane crash data covers -- Total Casualties : 113,830- Total Crashes : 5,26...

- 211
- Big Data, Analytics, Business Intelligence

Simulating UNPIVOT using dynamically generated SQL for Column to Rows conversion (Transpose) in SQL ServerWe often face the challenge of transposing the data to view the data in different dimensions. With the advent of JSON, use of Key-Value pair has become far more common giving r...

- 175
- Big Data, Analytics, Business Intelligence

A Fact is a Fact is a FactA fact table is used in Dimensional Model in Data Warehouse design. A fact table is found at the center of a Star Schema or Snowflake Schema surrounded by Dimensional Tables.A fact table consists of facts of a particular business process e.g., sales revenue by month by pro...

- 120
- Big Data, Analytics, Business Intelligence

All About Bridge TablesBridge tables are used to express a many-to-many relationship between a fact and a dimension table. In dimensional modeling, the bridge tables are primarily used for two reasons:To solve the complex unbalanced hierarchies problem as discussed next in “Unbalanced hierarchy”...

- 138
- Big Data, Analytics, Business Intelligence

A Panacea for Web Scraping (using R) for Data ScientistsDuring one of my projects, I wanted to collect some data related to the reviews for an item from some e-commerce websites to do some rudimentary Text-Analytics. In order to collect the reviews from different websites, I wanted...

- 297
- Big Data, Analytics, Business Intelligence

I was wondering if R is just about Data or there is something else we can do with R. While constant work in R was making me soporific, I thought I should try something interesting and I stumbled upon an article that talked about the equation we may use to plot a Heart shaped graph. That was enough t...

- 175
- 1
- 1
- Big Data, Analytics, Business Intelligence

Inspired by the blog around running-paths on FlowingData.com, I thought I should try to plot latitude and longitude for Bengaluru city and see which are the places where people run or places for which people upload data on mapmyrun.Another purpose of this blog is to share some interesting methods to...

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