Sudhir Rai - Google | LinkedIn (original) (raw)
About
Proven Business Data Analyst | Helping Companies Translate Their Business Goals to…
Experience & Education
Google
View Sudhir’s full experience
See their title, tenure and more.
Licenses & Certifications
Volunteer Experience
Ticketing and staffing
Formula 1
Oct 2012 - Nov 2012 2 months
Social Services
Social Worker
Rotaract
Nov 2012 - Apr 2013 6 months
Social Services
Campaign Volunteer
WEKARE GROUP
Sep 2016 - Jul 2018 1 year 11 months
Education
Volunteer for wekare foundation at capgemini. We provided support to the primary school by providing books and necessary education material to children.
Courses
Data Analytics and Statistics
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Data Science Programming (Python)
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Database Management Systems
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Design and Analysis of Algorithms
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BA with SAS
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Big Data Analytics
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Business Analytics with SAS
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Business Data Warehousing
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Data Structures
ECS302
Data Visualization
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Database Management System
ECS402
Marketing Management
MKT 6301
Organizational Behaviour
OB 6301
Professional Development
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SQL for Data Science
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Projects
Apr 2019
Visualization of food court data by using HTML, CSS, JavaScript and D3 library.
Data is visualized in form of Treemap.
See project
Feb 2019
Titanic dataset analysis is performed. Decision Tree and K-means clustering analysis using R.
Visualized results through Tableau.
Steps performed:
1)Data retrieval
2)Data pre-processing
3) Decision Tree using R
4) K-mean clustering using Tableau- R integration by invoking Rserve ()
Tools Used: R, Tableau
See project
Feb 2019
Dream Housing Finance company deals in all home loans. They have a presence across all urban, semi-urban and rural areas. Customers first apply for a home loan after that company validates the customer's eligibility. The company wants to automate the loan eligibility process (real-time) based on customer detail provided while filling online application form.
Tools Used: Python, Logistic Regression, XGboost, Random Forest, Decision Tree
See project
Feb 2019
Web Scrapping is a technique of extracting information from websites using computer software or applications.
Temperature data is acquired using a Python technique.
Tool Used: Python, BeautifulSoup4
Website used to collect data:
https://weather.com/weather/today/l/USTX1110:1:US
See project
Data Exploration and Visualization using Tableau
Nov 2018
Academic Project:
Data exploration and data visualization of various types of data to create variety of charts for better understanding of data
Oct 2019 - Dec 2019
This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. https://www.kaggle.com/mayanksrivastava/predict-housing-prices-simple-linear-regression/data
Used various regression methods and try to predict the house prices by using different features which contribute to the prediction of the house price. As we know we have different methods to get the solution but we need to find the best solution among the various…
This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. https://www.kaggle.com/mayanksrivastava/predict-housing-prices-simple-linear-regression/data
Used various regression methods and try to predict the house prices by using different features which contribute to the prediction of the house price. As we know we have different methods to get the solution but we need to find the best solution among the various method because each method has pros and cons. Once after visualizing some features and a data mining process. we tried to find the best regression model for this dataset.
See project
Big Data Project: Integration 3 dataset and Descriptive analysis
Jan 2019 - May 2019
Examined consumer complaint database along with zip code dataset and IRS dataset using Hadoop framework
Used AWS EMR and S3 for the purpose of cloud storage and computing
Used Hive and Pyspark to conduct Descriptive analysis leading to meaningful insights
Budgets for schools
Jan 2019 - Feb 2019
Data Camp -Case Study
Made schools more efficient by improving their budgeting decisions. Which Saves hundreds of hours each year that humans spent labeling line items and now they Can spend more time on the decisions that really matters. By preprocessing and splitting the data into train and test and feed into the different ML Algorithm. The accuracy of the model was 86%.(DataCamp)
Tool Used: Python,Linear Regression, Logistic Regression
Descriptive analysis of Customers Value Analysis of the buying behaviour of customer, using SAS E-Miner and MS Excel - Principal Components Analysis (PCA)
Sep 2018 - Nov 2018
Academic Project:
This is a Business Intelligence project using SAS enterprise miner in which the data will provide information that can be used to understand buying behavior of a customer and what factors contribute to a variation in this. Factors can be a mixture of internal (gender, income, location) or external (policy offered, renewal type). Also, using predictive analytics on the data, we would be able to predict the most profitable customers and would help company to retain and…
Academic Project:
This is a Business Intelligence project using SAS enterprise miner in which the data will provide information that can be used to understand buying behavior of a customer and what factors contribute to a variation in this. Factors can be a mixture of internal (gender, income, location) or external (policy offered, renewal type). Also, using predictive analytics on the data, we would be able to predict the most profitable customers and would help company to retain and increase such customers to increase overall revenue of the company.
Tools Used: Enterprise SAS miner, SAS, Linear Regressions, Logistic Regression, Neural Network
Honors & Awards
Best rookie Award
Wipro Technologies
Jan 2015
Performed my day today job with perfection. Delivered my first team project with zero defect.
Secured Bin1 Position
Wipro Technologies
Apr 2014
Regress Wipro Training program where the performance of the newly hired employee are evaluated on certain series of test. top 10% of the batch are awarded Bin 1 position, next 40% are awarded Bin 2 position and rest are put in Bin 3. I was in top 4 in my batch.
Languages
Hindi
Native or bilingual proficiency
English
Native or bilingual proficiency
Recommendations received
LinkedIn User
“It was a pleasure of working with Sudhir for 2 years at Wipro Technology. During this time, we worked indirectly on multiple projects for banking clients related to Cards and Payments domain in Technology and Infrastructure Management facilities. Sudhir is a person with a strong ownership and driving for results all the time. He sees and can address everything from the big picture to the details. Sudhir is creative, energetic; solutions oriented and highly motivated with great communication skills. He is an asset to any company that he’s with. I wish him Best of Luck for his future endeavors.”
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