• Create complex, high quality, enterprise-transforming business applications• Use the latest tools and techniques (AWS, Python, Agile Methodologies, Web Services)• Use BDD/TDD techniques during development• Prepare software for deployment to production environments• Respond to and resolve questions and issues logged by users of a live system

• Maintain and monitor various systems and processes responsible for delivering data to the business.• Develop, deploy, and iterate new solutions for emerging business needs pertaining to data.• Apply DevOps best practices with Jenkins and Terraform to facilitate modernization and efficiency.• Lead the business with services and solutions developed in AWS to drive projects to completion.

• Increase adoption of new technologies by the business such as Snowflake, Tableau, and Python.• Develop automation solutions to reduce downtime by the business through AWS.• Manage and execute machine learning projects to provide data-driven solutions for the business.• Enable the business to self-serve analytics by hosting training sessions for the business.

• Responsible for supporting Marketing's efforts to increase product sales and breadth through innovative data analytics while exploring and experimenting to discover novel insights.• Designed, tested, and deployed various Tableau dashboards for the business that have become critical to decision-making, adopted into daily duties, and modernized obsolete reporting.• Assisted in organization-wide effort to replicate core business data sources to a Snowflake data warehouse by providing domain expertise, advanced SQL analysis and scripting, and participating in user acceptance tests.• Leveraged advanced statistical analysis to identify fleet customer opportunities from similarity measures generated by a kernel function to enable Fleet Sales Managers to increase market share.• Provided daily support, assistance, and technical knowledge for recommender algorithm developed in Python and hosted on AWS.• Built several data pipelines, virtual environments, and advanced data analysis repositories using Git, PyCharm, and Python.• Facilitated a $1M pre-buy with one of our suppliers by developing an Excel "what-if" tool using simple profit/cost optimization through the use of built-in formulae.

• Support MPS Ops for several high revenue companies with specific reporting needs on fleet statistics such as monthly operations summaries and key performance metrics in Excel and PowerPoint.• Translate internal and external business requirements into tangible deliverables such as VBA solutions by gathering requirements and working with the end-user to understand business needs.• Provide scheduled and ad-hoc reporting for various stakeholders in order to contribute insight on managed accounts utilizing diversified reporting tools such as Siebel CRM and Salesforce.• Generate VBA and Python automation applications to streamline repetitive daily tasks.

• Analyze and submit quota validation and incentive compensation for a global sales team via proprietary software.• Serve implementation team through various reporting, quota validation, and updating seller incentive plan data with ad-hoc Excel reports and executing operational tasks.• Deploy and maintain front-facing Sharepoint sites by gathering requirements, coordinating with end-users, managing user permissions, and preserving data integrity through regular audits.• Develop and revise internal Visio workflow documentation to reflect current process changes.

• Provide ad-hoc analyses on customer satisfaction using both qualitative and quantitative methods through aggregated customer feedback survey reports.• Primary responsibilities focused on discovering problem areas outlined in surveys by performing data analysis such as classification models, visualization, and clustering.• Coordinate with senior managers to implement digestible, decision-focused PowerPoint decks and Excel worksheets.

• Day to day activities require interfacing with SAP for inputting invoice reconciliation analysis, generating various reporting, and managing each account.• Utilize intermediate to advanced Excel techniques such as VLOOKUP, INDEX-MATCH, pivot tables, charts, and light-weight VBA scripts to compile semi-automated reports for team and supervisors.• Work closely with several vendors across multiple retail industries and manage each assigned account’s aging ranging from $500,000 - $3,000,000.• Create daily reports to organize workflow and analyze personal KPI metrics to identify improvement.

• Responsible for handling and entering sensitive accounting information such as bulk orders andreporting end-of-day general ledger data to the owner.• Assist their transition from their old UNIX-based system to a new Windows-based system by copyingdata from one system to another while maintaining data integrity between each system.• Compiled daily reports in MS Word to reflect the changes made to the general ledger, incomestatement, balance sheet, and sales tax summary once sales were posted for the day.• Troubleshoot and debug software accounting aspects of the new Windows-based system bycoordinating with the developer responsible for customizing new accounting system.

• Query against IBM Netezza SQL database for daily data requests to monitor and analyze IP whitelistand IP blacklist filter data to find areas of improvement.• Worked closely with database administrators and developers to refine SQL query techniques to moreeffectively and efficiently query a “big data” database.• Analyze potentially fraudulent web traffic by monitoring, maintaining, updating the current web trafficfilters and their logic, and providing update reports to supervisor.• Participate in daily Scrum meetings to provide visibility regarding individual activities, challenges, andpotential solutions.

• Guided students through various coursework and exams to obtain a deeper understanding of fundamental concepts.• Enabled students to successfully and confidently complete algebraic and calculus competency examinations.• Acclimated to student needs in order to effectively communicate abstract theories and procedures in a comprehensive structure.

• Learned through mentoring and executing trades how major world news reports, central bank monetary policies, and behavioral effects of investors influence the global financial markets.• Utilized technical and fundamental analysis to optimize probability of successful financial operations within personally managed account.• Adapted to a unique international environment to meet critical objectives and time constraints.• Learned valuable skills including statistically analyzing data, working with colleagues to confirm or invalidate technical models and correlations, and implementing team developed strategies.