About Leela Prasanth Naidu Nadipilli:
HR Assistant with 1 year 9 months of experience in Amazon by preparing and managing the Associate pay and managing their Lenel punches ,forecasting, payroll, and mentioning the pay codes. Expert in providing payments according to their working hours. Employed in Amazon Employee Services (AES) as Payroll HR Executive; responsible for resolving issues related to Time and Attendance as per prevailing Amazon HR Policies.
Primary Duties:
• Responsible for resolving US and Canada Employee’s Non-pay Impacting Issues.
Additional Duties:
• Resolution of Pay Impacting Issues of US and Canada Employees.
• Resolution of Non-pay Impacting Issues of Mexico, UK and Singapore Employees.
• Supported the Bangalore team by sharing their work load during Peak Season.
• Mentored (a Key role of a POC) 15 New hires for a period of 3 months.
• Performed Audits (a Key role of a POC) and supported 1 Process Lead and 2 POCs.
Key Achievements ::
Adjudged Performer of the Day (maximum issues resolved in a shift) more than 15
times during 2019 as well as 2020 Peak Season (Oct-Feb).
• Was always in the top 50 out of 400 in the monthly Online Associate Evaluation
System (AES).
Completed MSc Data Science in Cardiff Metropolitan university.
and have an experience in python and how to resolve the issues.
Experience
HR Assistant with 1 year 9 months of experience in Amazon by preparing and managing the Associate pay and managing their Lenel punches ,forecasting, payroll, and mentioning the pay codes. Expert in providing payments according to their working hours. Employed in Amazon Employee Services (AES) as Payroll HR Executive; responsible for resolving issues related to Time and Attendance as per prevailing Amazon HR Policies.
Primary Duties:
• Responsible for resolving US and Canada Employee’s Non-pay Impacting Issues.
Additional Duties:
• Resolution of Pay Impacting Issues of US and Canada Employees.
• Resolution of Non-pay Impacting Issues of Mexico, UK and Singapore Employees.
• Supported the Bangalore team by sharing their work load during Peak Season.
• Mentored (a Key role of a POC) 15 New hires for a period of 3 months.
• Performed Audits (a Key role of a POC) and supported 1 Process Lead and 2 POCs.
Key Achievements ::
Adjudged Performer of the Day (maximum issues resolved in a shift) more than 15
times during 2019 as well as 2020 Peak Season (Oct-Feb).
• Was always in the top 50 out of 400 in the monthly Online Associate Evaluation
System (AES).
Completed MSc Data Science in Cardiff Metropolitan university.
and have an experience in python and how to resolve the issues.
Education
I have successfully completed a Master's degree in Data Science, which involved rigorous coursework and research focused on various aspects of data analysis, machine learning, and statistical modeling. Throughout my program, I gained a comprehensive understanding of data manipulation, visualization, and interpretation, as well as advanced techniques for extracting valuable insights from complex datasets. I have also acquired practical experience in applying data science principles to real-world problems through hands-on projects and internships. Overall, my Master's degree in Data Science has equipped me with the necessary skills and knowledge to effectively analyze and utilize data for making informed decisions and driving meaningful outcomes.
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