SUMMARY:

• Over the years through my experience at different companies I have been able to develop a proven strategy for training and on - boarding employees.
• My strategy focuses on making effective users with new BI tools, while at the same time improving data integration.
• The resulting combination is a quicker end-to-end response time with finding the insights businesses need and delivering reports from conception to implementation without sacrificing accuracy or ability to scale.
• By centering the strategy around best practices, mining data models with easy to use validation statistics, and developing custom tools specific to the internal architecture

SKILLS:

• Alteryx
• Power BI
• Javascript
• Machine Learning
• Python
• R/Julia
• NoSQL (Hadoop)
• GraphQL
• Network Security
• VM/Docker
• Tableau

EXPERIENCE:

Confidential

Data Engineer

Responsibilities:

• Implemented better data collection and integrity with text analytics by using the communication systems between the mechanics and the dispatchers.
• The strategy applies clustering, classification, and network relationship mapping statistical methods to bring clean ready to use data models a month sooner than before, while freeing the time of 20+ analysts to spend their efforts on business insights.
• Automated data feeds for all KPI metrics in production and ad-hoc reporting environments allowing faster delivery of insights.
• Developed an online repository of Tableau reports with automated data feeds that replaced manually constructed reports being emailed to the executive levels daily.
• Run routine training seminars taking employees through basic data mining techniques to running fully automated machine learning processes.
• Along with best practices in reporting, when to use various statistical models and how to read the results when using these statistics.

Tools: Tableau and Tableau Server, Alteryx, Oracle, Teradata, MongoDB, Neo4J, R, Python, and Javascript (NodeJs, Electron, VueJs, ReactJs, Polymer)

Confidential

Tableau Server Administrator/Developer

Responsibilities:

• Spearhead the data architecture to lay the foundation needed for reporting and tracking with a new division of business coinciding the release of a new line of glaucoma products. Then developing reports assisting with the hiring of a new sales staff by statistically targeting areas with the highest demand and potential buyers of glaucoma products.
• Implemented network monitoring tools to find potential bottlenecks with data streams, and developed an admin reporting deck that had built in notifications to help with the removal of deprecated reports that waste memory and/or cause slow downs on Tableau Server.
• Developed PostgreSQL database from the Tableau Server’s back-end to give IT better flexibility with data enabling IT to better migrate and report with out of reach data.
• Converted deprecated, obsolete Cognos, SAP-BO, and excel reports into full functioning, interactive, live Tableau reports that enable the users to drill down into the visualizations allowing for better transparency in the reporting structure.
• Trained employees on using both Tableau Server as a development sandbox and production environment along with Tableau Server’s Rest API. Also how to develop single page and multi-page interactive Tableau reports, while integrating Tableau with the power of both R with Rserve and Python with TabPy.

Tools: Tableau and Tableau Server, Oracle, PostgreSQL, Teradata, Netezza, Hadoop, SAP, R, Python, and Javascript (NodeJs and ReactJs)

Confidential

Data Scientist

Responsibilities:

• Engineered end-to-end data strategy that combined data that was largely unavailable due to limitations set by limited access across the multiple businesses owning separate data warehouses. Allowing marketing and customer service teams to see the larger picture without having to wait for every business branch to comply and deliver that branches data.
• Developed new methods to monitor High profile accountant customers along with their clients to create insights revealing the end to end customer experience across the entire product line to help improve customer retention, while notifying and correcting any problem areas
• Developed key strategies for customer management and churn rate with an emphasis on high profile customers, and used text analytics with network mapping to help identify problem areas that trigger additional problem areas in order to better improve customer service handling.

Tools: Salesforce, Siebel, Alteryx, R, Tableau, Vertica, Hadoop, Oracle, Teradata, SAP, Natezza, My SQL, Tableau

Confidential

Data Analyst

Responsibilities:

• Performed research analysis that drove improvements in quality and time spent on performance management saving 800,000 hours resulting in over $360 million of projected saved profit revenue.
• Launched multiple virtual learning seminars to aid and assist advocates for better understanding the analytics and results behind the revised performance management strategies
• Conducted analysis to measure effects with changing compensation methods, and to effectively revise the process in approaching performance management to allow a more scalable approach for large business

Tools: Tableau, Oracle, Microsoft SQL Server, My SQL, Python, Access, Excel

Confidential

Business Analyst

Responsibilities:

• Established project control procedures such as project forecasts and cash flow projections combined with manufacturing cost analysis to ensure production feasibility by taking advantage of quantity based price breaks without taking losses due to over production.
• Reported seasonality trends with market research to provide insights to new avenues of revenue, and to maintain profitability with current productions.
• Performed weakly and monthly cost analysis and ad-hoc reporting. Also mainlined data integrity with data migration from customer research databases and data warehousing, while enabling real time reporting

Tools: Dynamics, Tableau, Microsoft SQL Server, Excel, VBA