Your Name
Summary
Accomplished, highly-adaptive, and veraciously motivated professional with close to a decade of combined work in the Data Science field. Being fortunate enough to have experience with Fortune 100 companies, government agencies, start-ups, and more has given me a robust skillset and proven understanding of business needs and problem solving. Additionally, having several years each of hands-on, team lead/project management, and independent consulting experience has granted me the ability to approach every project with all due diligence and through all perspective lenses.
Overview
9
9
years of professional experience
Work History
Chief Data Science Consultant
National Grid
06.2021 - Current
- Within six months, successfully helped facilitate a drastic change in company’s business model from a SaaS company to a data & analytics company
- Created marketable datasets and several ARR business products helping company achieve a threefold increase in revenue YoY with a tenfold increase forecasted in 2023 as resources and breadth of offerings continue to scale
- Leveraging agile principles such as the introduction of a JIRA workspace, sprint planning & reviews, and weekly team meetings to eliminate siloed verticals and created a transparent, highly-efficient work environment between the analysts under my management and other teams
- Technicals: Procuring, analyzing, and final green-lighting of data we bring to market. Created custom web-scrapers, lead scoring and risk mitigation algorithms, automated R scripts for analysts to run against data findings, and worked with Google business partners to implement GCP infrastructure.
Principal Consultant
Kpmg
10.2020 - Current
- Work directly with stakeholders from NYSDOH to build bespoke models and ML solutions for COVID-19 and other healthcare initiatives
- Oversee, and actively support, creation of automated solutions for validating, QAing, and analyzing public-facing healthcare resources
- Responsible for supplying critical feedback to consulting teams, DOH employees, and other stakeholders to ensure projects are being completed according to scientific principles and most up-to-date guidelines
- Technicals: Built forecasting model for COVID-related hospital needs to within 1% error, curated dozens of disparate data sources to create working dataset for analysts to use in Tableau development, productionalized QA scripts to validate healthcare data across databases and other ingestion sources.
Lead Experimentation Data Scientist
Change Healthcare
03.2019 - 12.2021
- Created and fostered sustainable relationships with over a dozen stakeholder teams who utilized our Experimentation software and procedures — leading to the successful completion of over 100 experiments
- Completed end-to-end workflows on all important experiments including feasibility testing, experiment proposal reviews, coding of adhoc and production metrics, working directly with analysts, developers, and leadership on experimenting teams, and performing end-of-experiment statistical analysis with C-Level presentations upon completion
- Developed advanced knowledge of all our LOBs (internet, cable, mobile, phone) in order to work effectively with teams across all verticals and be able to develop robust solutions and experiment plans for company roadmap items and adhoc business needs
- Prior to leading the Experimentation Data Science team, I was the lead on Engagement and Buyflow projects where I worked with leadership teams to use machine learning and business analysis to reduce churn, improve point of sale conversions, and increase consumption of company products
- Technicals: Leveraged a wide suite of tools and ML techniques in order to produce dynamic, scalable solutions which included: AWS (Athena, S3, EC2, Sagemaker, Glue), Spark/Scala, R, Hive/Hadoop, Kibana, Tableau, Prism, and various others as needed
Manager, Data Scientist
World Wrestling Entertainment Inc.
04.2018 - 03.2019
- Mentored junior data scientists and managed offshore analytics team as the Data Science Lead for Behavioral Marketing
- Significantly increased visibility into long-term potential for millions of customers by creating actionable, personalized strategies as product owner and principal developer of Customer Lifetime Value model which forecasted revenue and other behavioral metrics
- Strongly impacted 'voice of the customer' analysis by creating NLP models which scraped Twitter, Facebook, and product review data to help guide marketing, as well as product storyline initiatives
- Optimized marketing spend and resource allocation by creating marketing-mix models and look-a-like audiences, derived from internal and third-party demographic data, identifying ideal customers across LOBs
- Technicals: Worked in both GCP and AWS environments, productionalized NLP and forecasting models on R server, partnered with Data Engineering team to create curated production tables
Data Scientist
Integrative Nutrition Inc.
11.2015 - 04.2018
- Identified, automated, and created server or cloud-based solutions for processes and workflows across several departments which had theretofore been managed in Excel Workbooks and other siloed tools
- Introduced machine learning to company by creating models to predict marketing campaign performance, forecasted sales, and customer service needs
- Created BI dashboards using Qlik and Tableau to provide high-level, easy to digest visual representations of company performance and KPIs for C-Suite and other stakeholders
Education
Bachelor of Science - Actuarial & Mathematical Sciences|Economics
University At Albany
Albany NY12.2015
PMI Agile Certified Practitioner (PMI-ACP) -
Project Management Institute
05.2019
Skills
- Leadership-level communication/interpersonal skills with strong passion for bringing stakeholder groups together, empowering team members, and leveraging relationships to facilitate mutually beneficial outcomes
- Effective collaboration with key players in every area of business from backend developers to C-suite decision makers
- Expert in full-cycle ABN experimentation for marketing initiatives, new feature implementations, customer retention/engagement strategies, and other focuses
- Advanced mathematical and statistical expertise with extensive real-world machine learning applications: leveraging techniques such as NLP, regression, classification, clustering, and forecasting to optimally solve business problems
- Broad Data Science skills: Data wrangling/cleaning, data scraping, CLI/API, regex manipulation, pattern recognition, data visualizations, automation/production code, significant experience with big data (100 billion row tables)
- Proficient with wide array of pertinent languages/technologies: R, SQL, Python, Spark, Scala, Bash, Hive/Hadoop, Git, AWS tools (ie Redshift, Glue, Athena, Sagemaker, EC2), and GCP Suite (ie Athena, BigQuery, VertexAI, Compute Engine)
Timeline
Chief Data Science Consultant
National Grid
06.2021 - Current
Principal Consultant
Kpmg
10.2020 - Current
Lead Experimentation Data Scientist
Change Healthcare
03.2019 - 12.2021
Manager, Data Scientist
World Wrestling Entertainment Inc.
04.2018 - 03.2019
Data Scientist
Integrative Nutrition Inc.
11.2015 - 04.2018
Bachelor of Science - Actuarial & Mathematical Sciences|Economics
University At Albany
PMI Agile Certified Practitioner (PMI-ACP) -
Project Management Institute