David Dionisio Email & Phone Number

Boston, MA, US

Norwell, Massachusetts, United States

• Data Science
• Identify and present to Executive Leadership Data Science opportunities that directly impact operational efficiency.
• Communicate process and methods by leveraging Cross Industry Standard Process for Data Mining (CRISP-MD).
• Provide team direction and feedback on a project’s availability of data, quality of data, modeling techniques and presentation strategies of complex methods.
• Provide timely and concise project updates to Executive Leadership to include phases of development or impediments.
• Mentor team members on supervised and unsupervised modeling techniques; data transformation methods, model performance, cross-validation methods, and class imbalances management techniques.Platform Architecture

Hopkington, MA

• Collaborating with multi-talent, cross-functional business teams to transform research ideas into enterprise solutions by designing innovative data engineering approaches to unstructured and structured data sets. This.
• Utilizing statistical outlier analysis, develop and test an early warning, customer distress system. This multi-stage project is currently using data mining techniques to identify distress factors using over 800,000.
• Model hardware component failure rates for a heterogeneous customer population; this machine-learning model allows approximately 100 field and quality engineers to quickly identify reliability issues resulting in.
• Integrating structured and unstructured data utilizing natural language processing and data visualization to create a ‘Patient Centric’ view of service interactions across multiple customer and product dimensions. This.
• Presents and shares our Data Science portfolio at multiple venues to include Dell EMC World, Total Customer Experience (TCE) Day and Dell’s Data Visualization/Big Data Summit.
• Chief Governance Officer - Served on the Dell’s Enterprise Data Governance Operation Committee with technical responsibilities for data access, architecture and security for Hadoop Distributed File Systems (HDFS) and.

Greater Boston Area

• Operationalized a proprietary Principal Component Analysis (PCA) Risk model that captures risk dimensions across multiple asset classes. This allowed a $17 billion managed account program to be launched on time and.
• Created analytics to support taxable and tax-exempt bond classification and risk proxy methodologies. This resulted in a significant expansion of client account funding options for our taxable portfolio management group.
• Quantitative and Investment Subject Matter Expert for implementing a new time series database to support multiple investment products, portfolio construction methodologies and analytics for assets in excess of $290.
• Re-engineered legacy analytical systems that supported multiple investment platforms to include retail websites, institutional portfolios and Unified Managed Accounts.
• Developed and trained an investment centric Data Quality Analyst Team to support Fidelity’s highly successful, Unified Managed Account Program. The Team was empowered to identify and correct key portfolio related data.
• Built the first ‘Performance Datamart’ to support reporting across multiple investment groups, products and strategies. On a daily basis, stakeholders can evaluate multi-period performance and assets across relevant.

Greater Boston Area

• Leveraged statistical modeling techniques to develop, test and deploy a multi-asset class proprietary risk model. Implement a risk decomposition analysis for customer composites and portfolios that span strategic and.
• Developed a tax aware Monte-Carlo simulation and conducted optimization analysis of different investing strategies on after-tax performance. Authored and presented internal and external communications highlighting the.
• Subject Matter Expert in designing and implementing a robust after-tax performance measurement and analytical system. The end product is a detailed measurement and monitoring tool to support analysis of tax sensitive.
• Implement and analyze back-testing strategies for Domestic Equity, International Equity and Fixed Income Strategists. Results translate directly into investment decisions impacting assets in excess of $30 billion.
• Apply returns and holdings based style analysis to multi-asset class portfolios: historical style exposure, fundamental characteristics, attribution and modern portfolio theory statistics.
• Established Fidelity’s first client level, time weighted return calculation methodology for the high net worth initiative.

Massachusetts, United States

• Researched and evaluated the risk and return characteristics of customer high net worth portfolios.

Msf, Finance

Bsba, Business Economics