Saikiran Nuthakki
Data Engineer at LiveRamp- Claim this Profile
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Bio
Ian Anderson
Saikiran worked a 10-week internship as a member of my employee incentives team in Verizon Consumer Customer Service. Saikiran had a marked contribution on our team during his short tenure and I hope we can also say we left a positive impression on him. Saikiran was quick and eager to learn about our team to begin making a contribution as quickly as possible. He was always positive, calm, inquisitive and upbeat in every single interaction he had with me and other team members. The hallmark of his internship was in delivering a data-driven analysis and strategic reco for our incentive programs in customer service. The legacy of his work will have an impact in shaping the future of our programs for years to come. I was glad to have the opportunity to manage and mentor Saikiran during his brief time with Verizon. His positivity and easy going attitude will serve him well as he is faced with bigger challenges as he embarks on his career. He demonstrated an acuity for the technical mechanics of statistical analyses through his work (e.g. R) and for finding alternative approaches to his analyses when faced with data limitations. He partnered well with our supplier to secure data in a very tight timeframe for his project. Within less than 6 weeks, he moved quickly to deliver an exceptional review of our incentive programs’ engagement and awards platform. I wish Saikiran lots of success in his future career. I stressed to him many times that I hope does not stay a stranger. I am sure our paths will cross again.
Ian Anderson
Saikiran worked a 10-week internship as a member of my employee incentives team in Verizon Consumer Customer Service. Saikiran had a marked contribution on our team during his short tenure and I hope we can also say we left a positive impression on him. Saikiran was quick and eager to learn about our team to begin making a contribution as quickly as possible. He was always positive, calm, inquisitive and upbeat in every single interaction he had with me and other team members. The hallmark of his internship was in delivering a data-driven analysis and strategic reco for our incentive programs in customer service. The legacy of his work will have an impact in shaping the future of our programs for years to come. I was glad to have the opportunity to manage and mentor Saikiran during his brief time with Verizon. His positivity and easy going attitude will serve him well as he is faced with bigger challenges as he embarks on his career. He demonstrated an acuity for the technical mechanics of statistical analyses through his work (e.g. R) and for finding alternative approaches to his analyses when faced with data limitations. He partnered well with our supplier to secure data in a very tight timeframe for his project. Within less than 6 weeks, he moved quickly to deliver an exceptional review of our incentive programs’ engagement and awards platform. I wish Saikiran lots of success in his future career. I stressed to him many times that I hope does not stay a stranger. I am sure our paths will cross again.
Ian Anderson
Saikiran worked a 10-week internship as a member of my employee incentives team in Verizon Consumer Customer Service. Saikiran had a marked contribution on our team during his short tenure and I hope we can also say we left a positive impression on him. Saikiran was quick and eager to learn about our team to begin making a contribution as quickly as possible. He was always positive, calm, inquisitive and upbeat in every single interaction he had with me and other team members. The hallmark of his internship was in delivering a data-driven analysis and strategic reco for our incentive programs in customer service. The legacy of his work will have an impact in shaping the future of our programs for years to come. I was glad to have the opportunity to manage and mentor Saikiran during his brief time with Verizon. His positivity and easy going attitude will serve him well as he is faced with bigger challenges as he embarks on his career. He demonstrated an acuity for the technical mechanics of statistical analyses through his work (e.g. R) and for finding alternative approaches to his analyses when faced with data limitations. He partnered well with our supplier to secure data in a very tight timeframe for his project. Within less than 6 weeks, he moved quickly to deliver an exceptional review of our incentive programs’ engagement and awards platform. I wish Saikiran lots of success in his future career. I stressed to him many times that I hope does not stay a stranger. I am sure our paths will cross again.
Ian Anderson
Saikiran worked a 10-week internship as a member of my employee incentives team in Verizon Consumer Customer Service. Saikiran had a marked contribution on our team during his short tenure and I hope we can also say we left a positive impression on him. Saikiran was quick and eager to learn about our team to begin making a contribution as quickly as possible. He was always positive, calm, inquisitive and upbeat in every single interaction he had with me and other team members. The hallmark of his internship was in delivering a data-driven analysis and strategic reco for our incentive programs in customer service. The legacy of his work will have an impact in shaping the future of our programs for years to come. I was glad to have the opportunity to manage and mentor Saikiran during his brief time with Verizon. His positivity and easy going attitude will serve him well as he is faced with bigger challenges as he embarks on his career. He demonstrated an acuity for the technical mechanics of statistical analyses through his work (e.g. R) and for finding alternative approaches to his analyses when faced with data limitations. He partnered well with our supplier to secure data in a very tight timeframe for his project. Within less than 6 weeks, he moved quickly to deliver an exceptional review of our incentive programs’ engagement and awards platform. I wish Saikiran lots of success in his future career. I stressed to him many times that I hope does not stay a stranger. I am sure our paths will cross again.
Credentials
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Databases and SQL for Data Science by IBM
CourseraAug, 2019- Nov, 2024 -
Data Science Methodology by IBM
CourseraJul, 2019- Nov, 2024 -
Open Source tools for Data Science by IBM
CourseraJul, 2019- Nov, 2024 -
Python for Data Science and AI by IBM
CourseraJul, 2019- Nov, 2024 -
What is Data Science? by IBM
CourseraJun, 2019- Nov, 2024
Experience
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LiveRamp
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United States
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Advertising Services
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700 & Above Employee
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Data Engineer
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Feb 2022 - Present
Data Engineering for LiveRamp’s Global Services Team. Data Engineering for LiveRamp’s Global Services Team.
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Verizon
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Strategy and Analytics Intern
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Jun 2021 - Aug 2021
Cross analyzed 1.8M internal site engagement data points with 2M+ employee award point redemption data, to develop performance groups among Verizon’s Mobile Customer Service Team, Wireline Network Operations Team, Fios Tech Support Team, and Operations Control Center Team. Utilized R in RStudio to develop regression models and correlation models with 2M+ employee performance data points and 1.4M catalog redemption data points to identify trends relating user performance with site… Show more Cross analyzed 1.8M internal site engagement data points with 2M+ employee award point redemption data, to develop performance groups among Verizon’s Mobile Customer Service Team, Wireline Network Operations Team, Fios Tech Support Team, and Operations Control Center Team. Utilized R in RStudio to develop regression models and correlation models with 2M+ employee performance data points and 1.4M catalog redemption data points to identify trends relating user performance with site interaction to make supported predictions on future spending habits. Show less Cross analyzed 1.8M internal site engagement data points with 2M+ employee award point redemption data, to develop performance groups among Verizon’s Mobile Customer Service Team, Wireline Network Operations Team, Fios Tech Support Team, and Operations Control Center Team. Utilized R in RStudio to develop regression models and correlation models with 2M+ employee performance data points and 1.4M catalog redemption data points to identify trends relating user performance with site… Show more Cross analyzed 1.8M internal site engagement data points with 2M+ employee award point redemption data, to develop performance groups among Verizon’s Mobile Customer Service Team, Wireline Network Operations Team, Fios Tech Support Team, and Operations Control Center Team. Utilized R in RStudio to develop regression models and correlation models with 2M+ employee performance data points and 1.4M catalog redemption data points to identify trends relating user performance with site interaction to make supported predictions on future spending habits. Show less
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Disney Experiences
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Entertainment Providers
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700 & Above Employee
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Data and Web Specialist Intern
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Jan 2020 - Apr 2020
Disney Professional Internship Program -Developed a back-end Rest API in Java utilizing a Spring Boot Framework and a SQL Server database to upgrade an internal application for Disney’s Labor Attendance and Time Team -Tested code using Postman, used Github for source control, and utilized Docker during deployment -Application is utilized by 72 members to make time and pay adjustments for 70,000 employees on a daily basis -Developed process maps using Visio for all Auditing… Show more Disney Professional Internship Program -Developed a back-end Rest API in Java utilizing a Spring Boot Framework and a SQL Server database to upgrade an internal application for Disney’s Labor Attendance and Time Team -Tested code using Postman, used Github for source control, and utilized Docker during deployment -Application is utilized by 72 members to make time and pay adjustments for 70,000 employees on a daily basis -Developed process maps using Visio for all Auditing Processes and Data Load processes involving SQL Server Integration Services, SAP, and Workbrain to identify repetitive processes in order to improve data load efficiency. Show less Disney Professional Internship Program -Developed a back-end Rest API in Java utilizing a Spring Boot Framework and a SQL Server database to upgrade an internal application for Disney’s Labor Attendance and Time Team -Tested code using Postman, used Github for source control, and utilized Docker during deployment -Application is utilized by 72 members to make time and pay adjustments for 70,000 employees on a daily basis -Developed process maps using Visio for all Auditing… Show more Disney Professional Internship Program -Developed a back-end Rest API in Java utilizing a Spring Boot Framework and a SQL Server database to upgrade an internal application for Disney’s Labor Attendance and Time Team -Tested code using Postman, used Github for source control, and utilized Docker during deployment -Application is utilized by 72 members to make time and pay adjustments for 70,000 employees on a daily basis -Developed process maps using Visio for all Auditing Processes and Data Load processes involving SQL Server Integration Services, SAP, and Workbrain to identify repetitive processes in order to improve data load efficiency. Show less
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Penn State University
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United States
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Higher Education
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700 & Above Employee
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Undergraduate Research Assistant
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Sep 2019 - Jan 2020
Worked under Dr. Eric Greenwood, in the Aerospace Engineering Department, on acoustically aware aircraft research. My duties include creating and querying relational databases for a joint project on dynamic replanning of low noise operations. Worked under Dr. Eric Greenwood, in the Aerospace Engineering Department, on acoustically aware aircraft research. My duties include creating and querying relational databases for a joint project on dynamic replanning of low noise operations.
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CANCOM
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Germany
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IT Services and IT Consulting
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700 & Above Employee
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Data Center Logistics Assistant
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Jun 2019 - Aug 2019
Worked at a Data Build Center and developed a working knowledge of Dell PowerEdge R640 and HP-ProLiant 10th generation servers. Performed accurate Asset tagging, network cabling, verification, and assisted in burn in procedures for data servers. Worked at a Data Build Center and developed a working knowledge of Dell PowerEdge R640 and HP-ProLiant 10th generation servers. Performed accurate Asset tagging, network cabling, verification, and assisted in burn in procedures for data servers.
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Sports Fever
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United States
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Retail
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1 - 100 Employee
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Sales Associate
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Mar 2017 - Aug 2017
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Shoe Palace
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United States
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Retail
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400 - 500 Employee
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Sales Associate
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Oct 2015 - Sep 2016
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Education
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2017 - 2021
Penn State University
Bachelor of Science - BS, Computational Data Science -
2013 - 2017
Dougherty Valley High School
High School Diploma
Community
