I have ten years of experience in data science and analytics, including substantial experience leading product analytics teams. Data science allows me to combine my research-focused analytical skills with my inquisitive and creative nature. Being presented with a data set, it is often surprising how much information can be garnered through analysis. This page will contain details around my experience and specializations.

Notable Experience

Staff Data Scientist, Meta (Nov’23 - Now):

  • Defined measurement for product interventions to prevent harm from Scam accounts on Instagram.
  • Collaborated across multiple teams at Meta to develop holistic understanding of various harms on the platform.
  • Built out quantified harm funnel to identify attack vectors of bad actors and interventions to protect benign users.

Head of People Engineering Data Science, Meta (Mar’20 - Nov’23):

  • Built and manage team of 4-10 data scientists supporting 15+ products for Meta Employees.
  • Led development of a north star metric for People Products (Expected Impact of employees throughout their career at Meta) used to evaluate success of the entire organization.
  • Worked with stakeholders across product and program (HR) to ensure alignment of success metrics and research direction.
  • Supported the team through two major re-organizations and multiple leadership changes.
  • Conducted metrics reviews and research roadmap reviews every half for the organization.
  • Trained and lead multiple company-wide courses for Data Scientists.

Data Engineer and Data Scientist, Meta (Aug’16 - Mar’20):

  • Supported full suite of internal products focused on career development, employee engagement, and workforce management.
  • Specialities included performance management, learning and development, manager effectiveness, and workforce management.
  • Created and maintained dataset around organizational network analysis.
  • Built metrics and performed research using this data (including the effect of remote work post-COVID).
  • Supported the Diversity, Equity, and Inclusion team, including the preparation of data published in the Meta Diversity Report.

Technical Skills

  • Data Science: Product analytics; Exploratory data analysis; Network analysis; Machine learning; A/B Testing.
  • Analytics: SQL (Presto, MySQL); Python (pandas); Network analysis (networkx); Machine learning (scikitlearn).
  • Data Engineering: Data pipelines; Dashboarding (Tableau); Database design; Version control (git, mecurial).

Professional Training

To help enable my transition from Software Developer (as part of the Silicon Valley Internship Programme) into Analytics, I completed a Udacity Data Analyst Nanodegree. I have discussed how it helped me in the career move and the move from PhD to Industry on Medium.

Contact

If you are interested in contacting me regarding data science: Contact Me or download my Resume.