Ambika G. Email & Phone Number

Boston, Ma, Us

Technical consultant supporting new medical spa startup in technology and marketing ramp up.

San Francisco, California, Us

Directed and executed comprehensive audit, migration, and optimization initiative for 200 SQL queries, ensuring GDPR compliance, boosting runtime efficiency, and establishing standard operating procedures for future use cases. Pioneered inception of data engineering team, defined long-term objectives, and successfully onboarded two engineers. Aided in building out platforms to ingest, store, and provide access to 14 petabytes of streaming and batch data. Programmed core API functionality using Go to allow for user interactions with data lake via Redshift and DynamoDB. Updated UI features in React and Javascript. Enhanced code maintainability and quality and improved upon existing documentation.

Beaverton, Or, Us

Analytics engineer focused on using Predictive Intelligence to optimize Nike's ServiceNow platform. Created classification models to automatically route 70% of incoming incidents, saving 10,000 hours per year. Additionally, built clustering models to identify knowledge gaps and automation opportunities.

Beaverton, Or, Us

Data engineer focused on creating data pipelines to accelerate adoption of a more sophisticated Nike supply chain model. Utilized Python, AWS EC2, AWS Lambda, DevOps practices, and Continuous Integration/Continuous Development to integrate a shift from manual work to efficient, automatic processes.

Beaverton, Or, Us

Data engineer focused on expediting ETL processes. Saved company 200 work hours per year using Airflow DAGs, AWS EMR, Spark, and Python to automate data pipelines, allowing for more efficient analytics and insights.

Beaverton, Or, Us

Summer intern working on visualizing and personalizing data reports used across Nike. Used Pega to create automatically updating, privatized, independent dashboards, saving 200 work hours per year and enabling informed budget decisions.

London, England, Gb

Pipeline Fee Tool• Created a rules engine with Drools that uses inputs from other applications and rules defined by business users to calculate cost of shipping parcels• Extensible for other ancillary costs and improves operational efficiencies to reduce costs by approximately $500,000Monitoring and Management Dashboards• Updated two existing Splunk dashboards to follow standard business layout and added three new data visualizations to provide feedback to product owners on user interaction with the application• Converted eight scheduling logs into visual components to allow easy detection of errors and therefore reducing time spent

Nashua, New Hampshire, Us

• Created a data platform for mobile applications that facilitates instantaneous communication between the public and first responders• Incorporated Search Engine Optimization skills to promote company products through videos and news articles• Learned multi-channel social media marketing for a diverse group of consumers including the public and government officials

Master Of Science - Ms, Data Science

Bachelor Of Science - Bs, Computer Science