Gokul Pradeep

Gokul Pradeep

Business Intelligence Engineer
India

About Me

Analytics Professional with 4.5+ years of experience in Data Analytics, Data Engineering and Business Intelligence working with Product, Program and Marketing Teams in Retail and Operations/Logistics domain. Highly Profi…

Experience

Business Intelligence Engineer- IN-ECCF Fulfillment Center Analytics

Amazon, Bengaluru, India
Sep 2021 - Present · 4 years 10 months

Publishing and maintaining Daily, Weekly and Monthly Reports/Dashboards and Business Scorecards which is consumed by many top leaders in Amazon including VP of Operations.
Developed dashboards for IN and ROW countries [SG, MENA, AU, BR, MX] in the areas of Returns, Speed and CX which helped to identify areas of improvement to reduce the defects and improve the process which resulted in an annual savings of 120 MM INR.
Created Live data pipelines using AWS Services [SNS, SQS, Lambda, Data Firehose, Redshift] to track real-time data in dashboards.
Developed a one stop solution for the learning & operation teams to monitor the quality defects caused by an associate in the FCs using live data from the pipelines.
Developed a ML model to predict the headcount requirements for next 7 days at a function level for outbound process in a Fulfillment Center.
Conducted trainings on SQL, QuickSight and Reports Automation and trained 120+ FC team (Operations Manager, Area Managers, Research analysts, Process leads).

Business Intelligence Analyst

Amazon
Jul 2019 - Present · 6 years 11 months

Publishing and maintaining Daily, Weekly and Monthly Reports/Dashboards and Business Scorecards
which is consumed by many top leaders in Amazon including VP of Operations.
• Developed dashboards for IN and ROW countries [SG, MENA, AU, BR, MX] in the areas of Returns, Speed
and CX which helped to identify areas of improvement to reduce the defects and improve the process
which resulted in an annual savings of 120 MM INR.
• Created Live data pipelines using AWS Services [SNS, SQS, Lambda, Data Firehose, Redshift] to track real-
time data in dashboards.
• Developed a one stop solution for the learning & operation teams to monitor the quality defects caused
by an associate in the FCs using live data from the pipelines.
• Developed a ML model to predict the headcount requirements for next 7 days at a function level for
outbound process in a Fulfillment Center.
• Conducted trainings on SQL, QuickSight and Reports Automation and trained 120+ FC team (Operations
Manager, Area Managers, Research analysts, Process leads).

Business Analyst - IN Category- Major Appliance| Furniture

Amazon, Bengaluru, India
Jun 2019 - Aug 2021 · 2 years 2 months

Launched 24 BI Dashboards/Reports across various aspects of retail business (selection, pricing, in-stock, promotions, marketing) which is used by 100+ users on a monthly basis and received recognition from multiple Senior leaders in Amazon.
Automated many reports used to track Key Business Metrics and resulted in savings of 2500+ manual hours /year across the org.
Provided ad-hoc data and analysis for Marketing, Product, Category and Program teams to make business decisions.
Performed A/B Testing on new Product Feature Launches like Open Box Delivery, Push Notifications, Quality Verified Products and Augmented Reality.
Performed deep dives into massive data sets to answer key business questions using SQL, MS Excel, Python and created visualizations in Tableau and QuickSight.

Skills

Integrated Business Intelligence Cognos Excel Python Structured Query Language (SQL) Amazon Web Services Data Model Data Representation Data Repository SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) Data Analysis Skills Power BI QlikView Tableau QuickSight AWS ETL Machine Learning Redshift SNS SQS Lambda Data Firehose Hadoop Hive Athena SageMaker S3 Kinesis DynamoDB Google BigQuery Colab Looker Linear Regression Logistic Regression K Means Clustering Random Forest Decision Tree Deep Learning CNN MS Excel MS Power BI R Studio VGG16 AlexNet GoogLeNet A/B Testing
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