Daniel Fleck Email & Phone Number

Armonk, New York, NY, US

Member of watsonx Client Engineering team. Working on Generative AI use cases and solutions. Building and tuning Foundation Models (IBM models, Hugging Face models, etc.).

Armonk, New York, NY, US

• Developed a patent-pending autocomplete search process trained on private data using TF-IDF vectorization, natural language understanding and caching to increase autocomplete speed to ~200-400 ms within an application
• Deployed pycaret and text classification models on Azure Databricks using MLFlow and Azure ML to deploy as an Azure Kubernetes web service and monitor using IBM’s Watson OpenScale

Armonk, New York, NY, US

• Developed automated pipelines of training data metrics, and model training metrics, with IBM AI Factsheets that led to 4x time savings for the client in developing their Model Risk Management Reports
• Brainstorm and scope machine learning use cases with client executives and develop a strategy roadmap for use case and IBM services implementation and adoption
• Convey business insights and deliverables of machine learning use cases efficiently in executive readouts
• Help lead development and planning of a model inspection toolkit package for accelerated model performance analysis

Armonk, New York, NY, US

• Automated a manual process for data cleansing and feature development for staffing optimization into a scalable ETL pipeline between Cloud Pak for Data and Snowflake using Python and SQL to save 10-12 hours weekly
• Created and deployed an interactive R Shiny app on IBM Cloud using Kubernetes that develops visuals querying from MongoDB, and scores a staff optimization model based on inputs returning real-time logs and the final.
• Designed and presented a system architecture plan for secure Microsoft Azure Active Directory authentication between Snowflake and IBM Cloud Pad for Data using OAuth
• Member of a 3 person team whose client win was approved as a session for IBM’s biggest client conference, IBM Think 2021
• Developed a machine learning pipeline in IBM Cloud Pak for Data using Python for a gradient boosting regression model that increased acceptable predictions of 2, and 3 months forward staff planning by 45%

Armonk, New York, NY, US

• Presented key findings to clients in a thorough and concise method to portray business impact
• Explored deep learning classification methods using keras and tensorflow in Python for anomalous IP address detection and deployed a model with a wrapper function for a cybersecurity client
• Completed unsupervised clustering and analysis using pyspark and IBM Watson Machine Learning Accelerator on parquet datasets to develop unique customer personas for a utility company

Boston, MA, US

• Scrum team member on Fidelity’s Enterprise Technology Risk Management team for the audit of their internal OpenStack Cloud Computing software using Agile auditing methodology
• Develop an understanding of IaaS management, security, and governance while engaging in all audit planning, client meetings, and audit presentations, and documented all audit testing in work papers
• Complete data analysis for audit testing of user access, and vulnerability management using Python and Power BI
• Execute ad hoc requests including REST API querying the telemetry backend with Elasticsearch, and outlier detection of employees within the same active directory group using unsupervised learning in cluster analysis

Wilmington, NC, US

• Competed in the Kaggle NCAA March Madness Machine Learning (ML) Competition developing a predictive algorithm to predict the winner of every game using feature selection with ML models xgboost, logistic, and MLP

Durham, NC, US

• Reviewed SQL reporting with IT to ensure accuracy of new monthly IBNR reporting, reconciling any IBNR claims differences between our accounting and managed care systems
• Liaised between Business Operations and IT on any business intelligence data, reporting or development needs
• Collaborated with cross-departmental units to identify information needs and design solutions using business intelligence (BI) concepts to create parameter driven reporting

Durham, NC, US

• Created monthly reports on the status of Alliance’s Medicaid per member cost and presented findings to leadership
• Utilized Microsoft Access to develop and define the monthly Medicaid reconciliation process
• Communicated with Providers to develop Medicaid rates and implemented new programs and services
• Analyzed individual enhanced rate requests submitted by providers to determine accuracy of their financial data

• Designed and developed weekly Tableau reporting for manufacturers to analyze the performance of their products within each category
• Forecasted POS and presented findings to Advance’s team during category reviews in order to make educated product, category and promotional decisions
• Performed ad hoc reporting and exploratory data analysis utilizing Advance Auto Parts Oracle BI Database for manufacturers and Advance Auto management

Boston, MA, US

• Worked in Salesforce analyzing internal data with outside data sources and other key metrics to provide lead generations for our fundraising team.
• Created ad hoc reports for the fundraising and marketing teams analyzing their activity, and developed live dashboards as a Salesforce administrator.
• Developed the scoring sheet for the Fundraising team's Summer Sales Contest, and created the weekly and biweekly reports.
• Met with members of the Analytics team, along with other members of Fidelity Charitable frequently on daily and weekly projects focusing on lead generation.

Chapel Hill, NC, US

• Contributed to building the project's database of more than 4800 companies within the Research Triangle with information on company awards, grant funding, mergers, acquisitions, and other company history.
• Created a database of 180 firms with a UNC connection to study the University’s impact on entrepreneurship in the RTP.
• Met, interviewed and documented meetings with 15 founders with a connection to UNC who developed a successful start-up in the RTP.
• Developed a 30-page report on UNC entrepreneurs’ experiences and views on the University's entrepreneurial ecosystem and it's impact on entrepreneurship in the RTP.

Chapel Hill, North Carolina, US

• Synthesized market reports and gathered market data on Pharmaceutical R&D and clinical trial data in MatLab.
• Made projections on future Pharmaceutical R&D, clinical trial testing, patenting, and overall efficiency trends.

Durham, NC, US

• Input transaction entries and new customers in the customer service database.
• Finalized daily sales credit card balance sheets for inventory and financial records.
• Created and maintained master spreadsheet of sales history and analyzed the change in product sales and yearly trends in transactions.
• Demonstrated leadership and quick understanding of company mission leading to promotion from unpaid intern to paid staff member.
• Assisted with the transition period for the new customer service database by switching over customer records.

Bachelor Of Arts (B.A.) Public Policy, Minor: Mathematical Decisions Science

Master Of Science - Ms, Data Science

Education record