In my current role I focus on researching vulnerabilities and
risks across ads products in Facebook.
Previously I have worked to scale Commerce Operations on
products like Instagram Shopping, Facebook Shops &
Marketplace.
Both roles involved global cross functional collaboration,
analytics & data engineering, process design along with
teaching and mentoring.
Read a more detailed overview of my work in Facebook
here
Quantitative Researcher, LayerIV (<1 Year)
Research start up focusing on Pharmaceutical R&D. I helped to
shape the direction of the company from seed (4th Employee) to
Series A.
Built a back testing infrastructure to test hypothesis about
movements in financial markets and performance attribution to
strategies relevant to pharmaceutical clients.
Researched SEC filings using natural language processing and
sentiment analysis to understand if there was any alpha or
premium over the market for the firm's portfolios
Data Quality Specialist, Irish Life Investment Managers (~ 2
Years)
Worked to build and improve data infrastructure and changed
how the company used data to make decisions
Monitored market data feeds including security prices,
benchmarks, and currency data
Contributed to the ongoing improvement and automation effort
by Data Quality (DQ) with various projects delivering from
ideation to implementation, to speed up and improve both the
DQ work flow and DQ production
Responsible for coordinating the operational due diligence for
new externally managed investment funds
Education
MSc Computing & Data Analytics, Dublin City University
Research Title: Building an Artificial Intelligence System to
Detect Human Faces in Video and Predict Video Memorability.
read it here
BA Economics & Finance, Maynooth University
Graduated with First Class Honours & top 1% of class.
Covered Economics cirriculum along with Econometrics,
Derivatives Options & Portfolio Optmisation
Data Streaming Nanodegree, Udacity
Real time event driven data processing using Apache Spark,
Kafka, Spark Streaming, and Kafka Streaming.
Github repo here
Charter Financial Analyst Institute —
Among the 43% of candidates to pass level 1 in '17
Technical Skills & Stats
Technical Skills
Advanced:
Python including Object-oriented programming common analytics
libraries pandas, numpy, stats etc
SQL with experience in MySQL, Hive, Presto & multiple other
*QL variants.
Dataswarm (batch processding) & Kafka (Streams) for Data
Engineering
Visualisation tools such as Tableau & Python libraries
including Plotly, Matplotlib and Seaborn
Familiarity with building computer vision applications with
image and video processing.
Experience in setting up ML models to make and monitor
predictions in production
Intermediate:
Familiarity with Linux/CLI and Git
Django for personal projects and production code for Instagram
Lite