Nicholas Daly Email & Phone Number

Washington D.C. Metro Area

•Produce internal training resources for usage of text and data analysis tools. •Chairing data analytic working groups with members across the foundation. •Present research results to both technical and non-technical audiences• Evaluate the impact of NSF funded research. •Portfolio analysis of research programs through text analytics. •Examination of Broader impacts and how this area is evaluated by reviewers and within proposals. Examining how these are in line with the NSF definition of broader impacts and those outlined by the federal government. •Collect data from Third-Party sources through web scrapping. •Linking NSF and federal government funded research to US patents. •Contracting Officer Representative for program evaluation contracts•Collaborating with external contractors to assist in the area of evaluation contracts of NSF programs.•Develop proof of concepts that demonstrate data and text centric analytic services delivering structured and unstructured information.•Draft technical documents and present challenge solution architectures. •Work with a combination of internal and external subject matter experts and Program Officers.

Dublin, Ireland

•Provide professional consulting services to customers throughout the full lifecycle of product implementation •Provide customers with go-live assistance and on-going support •Provide assistance with post-implementation software upgrades •Deliver product training to new and existing customers •Work with the Development team to deliver new developments to customers •Produced specifications for new client requirements communicating specifications to developers.•Scrum project management for software developments.•Produce both internal and external software documentation. •Resolved technical issues for clients which could lead to a complete shutdown of trading. •Developed understanding of financial risk, risk management and product pricing.

•Title: Generating sentiment lexica: Evaluating approaches with genetic algorithms & particle swarm optimization.•Description: My research concerned the extraction of sentiment in financial news regarding the US economy and linking changes in news sentiment to movements in financial markets. By collecting a corpus of financial news items and sentiment analysis my goal was to find a relationship between news sentiment and next day market movements.•Achievements: I showed a statistically significant relationship between sentiment in financial news and next day market behavior over a five year period in the DJIA, S&P500 and VIX. Through machine learning I refined legacy lexica resulting in a statistically significant improvement in market predictions. I noted a relationship between the frequency of republished and updated news items and next day market volatility. •Coursework: Financial Informatics, Behavioral finance, Research methods and statistics for researchers. A secondary area of interest is the role of duplicate news items, expansions and re-release which occur on a regular basis. The inclusion of such duplicates in our analysis was highly significant and improved results by a large degree.Further, these duplicates demonstrate changes in the reporting of an event over time and the shift in focus.One specific example identifies an instance where the rise in the price in oil during the course a day, initially the cause is stated as the expectation of growth this is later changed to fears over Iran. The news item later returns to the original version.Another area of research during the course of this phd has been devoted to the examination of political news reporting and the frequency of citations of individual candidates and the potential impact this plays on the election results.

Dublin, Ireland

Research assistant investigating the impact of sentiment on financial markets for an Enterprise Ireland funded spin-off. Development of prototype system for the real-time collection of news and generation of a sentiment based time series. Allowing for both statistical analysis and visualisation of sentiment changes within financial news. Investigation of the occurrences of duplicate news items and their role in financial reporting.

Washington D.C. Metro Area

My work as a software development intern included the development of a new website platform LeapSeed written in VB.net. Work included code development for simple user interface generation of database entries and queries. The platform was aimed for ease of use generation of web content and database management.

Doctor Of Philosophy (Phd), Computer Science

Sentiment Analysis of financial news. Linking financial news items to movements in the stock markets on the following date. My research.

Bai, Computer Engineering

Activities and Societies: University Philosophical Society

Ba (Pass), Mathematics

Education record