- Deployed a custom built statistical anomaly detection system to production, providing client services an early warning for rising client concerns - Developed normalization techniques and distribution mapping algorithms for maintaining data consistency between panel providers, device control types, and survey behavioral characteristics- Released internal APIs and python modules for running ETL pipelines and dynamic queries to standardize RnD data operations; streamlined onboarding/training of new team members- Coordinated with the product/engineering teams for a new product on design/development/implementation of scoring methodologies, visualizations in client facing UI; gave company demos- Built an internal API exposing custom trained gensim models for an NLP search product, used to discover contextually similar phrases/responses/assets with resonating responses (embedding vectors)- Ongoing research and coordination between multiple teams for development of new products; data exploration, statistical analysis, hypothesis testing, modeling, visualization and API development- Training classification models using BERT transformers for NLP topic models- Using ChatGPT as my programming assistant

• Developed advanced SQL queries for analysis of log-level data to cumulate for campaign performance KPIs and determine overlap between reach of targeted segments• Worked in UNIX shell and Jupyter for connecting to AWS redshift, developed python scripts to automate the generation of campaign specific SQL queries, and excel reports using the XlsxWriter module • Created visualizations using matplotlib, Tableau, and Excel to highlight campaign performance benchmarks • Identified data collection issues, developed solutions to address business challenges, and presented insights to team and senior management to collaborate on developing new strategies for improving reporting processes

- Data Science MBA Consultant for Saffron Technologies, now Intel- Built a custom NLP clustering module in python using a proprietary similarity metric and implementing the K-Mediod clustering algorithm- Produced python scripts for data ingestion of unstructured text that performed word stemming, tokenization, frequency observation, distance measurements using cognitive distance/cosine similarity

· Developed financial and marketing reports covering emerging technology trends for the CEO· Performed ad-hoc research and analysis for business development· Developed monthly dashboards and reports· Generated new sales leads, strategized CRM, and maintained database in Salesforce

· Designed and built a modular testing environment for identifying erroneous data processing · Presented demonstrations and delivered a technical manual to relevant parties· System provided optimized work flow and minimized time required to perform in-house testing

• Co-founder of a start-up that assisted surgeons with pre-operative planning & body volume estimates• Recruited and managed programming team • Researched the competitive landscape and developed a marketing plan

• Researched and wrote reports covering congressional hearings• Outreach to constituents, and helped maintain constituent database • Gave tours of the Capitol, providing a historical and entertaining account