• Leading a team of Data Scientists, Jr. Data Scientists and Data/Cloud Engineers that are delivering end to end advanced analytics solutions• Managing multiple projects and providing coaching to team to ensure desired outcomes as well as overall team growth• Designing and implementing AWS cloud architectures for running event driven machine learning services via custom cloud formations deploy using the Serverless framework• Crafting implementation approaches of advanced analytics solutions such as API endpoints built into interactive workflows to be developed by the team• Working closely with management to define best practices, define project roadmap and scope for maximum impact, and how to achieve a next generation analytics organization• Using machine learning techniques including neural networks and clustering algorithms in conjunction with external data obtained via APIs to clean, normalize and match key data points as part of the ETL process• Evaluating advanced approaches such as BERT for NLP and reinforcement learning for classification to determine approach viability in current technology infrastructure• Controlling machine learning projects from original requirement discovery through production deployment using CRISP-DM management paradigm

• Utilized Python and machine learning libraries to develop a custom tracking quality score using logistic regression which was then built into a SQL query and incorporated into an automated dashboard• Designed and constructed an analytically focused data warehouse using Snowflake cloud data warehouse along with necessary pipeline scripts in Python to move data from separate front end microservices and S3 buckets to enable more efficient data analysis• Developed custom data sets and perform ETL data preprocessing using advanced SQL and Python• Constructed advanced, analytical focused dashboards in Tableau that are utilized by both internal and external customers• Engineered multiple data sets and built multiple analytics dashboards that were marketed as a value add to existing and prospective clients• Communicated analytical findings to executive team and other internal stakeholders in a concise and understandable manner

• Utilize IBM Cognos 10.2 and Cognos 11 BI tools to develop advanced freight and financial reporting• Implement VBA code to develop automated analytical scorecards and dashboards to be used by end business users• Apply SQL for data extraction through SQL Server database management tool• Employ SQL subquery and other techniques for data manipulation and extraction within Microsoft Access• Analyze data to uncover trends and reach meaningful conclusions that can be utilized to achieve internal and external metrics• Meet with clients to review the results from various analyses to convert data into business value• Streamline and automate manual processes through IBM Cognos and Microsoft Access databases • Identify and resolve issues utilizing root cause analysis• Testing and implementing electronic data interchange files

• Develop linked tables and macros in order to extract data from Access• Convert raw data obtained from Access into in depth reports and automation tools using Excel• Utilize Excel to organize data to allow for advanced analysis as well as in the development of time saving automated tools used by multiple departments to increase overall efficiency• Conduct financial and statistical analyses for the freight department• Work closely with management to provide insight to improve profitability and process improvement• Provide support and analysis for other departments to help achieve overall business goals• Develop and monitor reports and trackers for all freight data• Conduct annual freight contract negotiations• Monitor and troubleshoot inbound and outbound freight shipments

• Research and improve processes and systems within the department to increase efficiency • Clearly and effectively communicate reports and data to upper management through presentations• Credit memo processing, customer contact, research and internal contact with sales, customer service, management and cash application teams• Utilize time management skills, analytical abilities and attention to details• Trained new staff members on systems and processes

• Leadership role on the outbound team• Worked closely with students to address problems and concerns, evaluated and advised situations• Demonstrated knowledge of program and utilized to recruit students• Consistently exceeded expectations and service metrics• Worked with management to implement new systems and programs