Work Experience #
Senior CCAI Engineer: ML/AI & NLP Specialist
Botcopy, 2024-06 - Present
- Engineer NLP analytics pipelines to extract insights from conversational data and improve on Google’s native analytics
- Test and evaluate generative models for use across conversational agents, aligning model characteristics with client requirements
- Build, deploy, and optimize both sateful and generative Google CCAI agents in line with client needs
Lead Engineer: ML/AI, NLP, & Analytics Specialist
TekSystems for Google CCAI, 2022-06 - 2024-06
- Design NLP pipelines, analytics tools, and generative AI applications in response to client needs via GCP services
- Engineer and implement solutions including data migration from spreadsheets to BigQuery, data cleaning, KPI tracking, clustering unlabeled free text responses, and training custom models to simplify analytics
- Coordinate data processing team efforts for labeling datasets, developing classification guidelines, and technical process documentation
Data Designer – Contract
TekSystems for Google CCAI, 2021-06 - 2022-06
- Apply statistical and machine learning techniques to analyze client data
- Generate insights from analyzed data to make recommendations for product improvements
- Design, build, and maintain Google CCAI agents for client-specific use cases as well as NLP experiments
Japanese Natural Language Understanding Specialist – Contract
Cerence, Inc., 2020-11 - 2021-04
- Extend NLU grammars used for speech recognition models with necessary labels and semantic tags
- Analyze and correct errors in NLU machine learning model output in an accurate and timely manner
- Localize English NLU resources into Japanese for use by a variety of global automakers in intent classification and semantic labeling
Senior Operations Associate
CoreLogic, 2020-02 - 2020-08
- Synthesize tax information from company, mortgage client, and public agency databases in order to resolve tax issues
- Use knowledge of client and internal company procedures to resolve tax issues in a timely manner
- Coordinate with team members and leads to resolve assigned tasks efficiently, while continuing to learn new problem solving procedures daily
Statistics & Data Analysis Tutor
Varsity Tutors, 2019-09 - 2022-05
- Online tutoring for high school, undergraduate, and graduate level students
- Specializing in statistics and data analysis using R, Python, and SPSS
- Additional tutoring in Japanese, social science research design, and academic writing
Statistics & Psychology Tutor
Rochester Institute of Technology, 2019-09 - 2020-01
- In person tutoring for undergraduate and graduate level students
- Specializing in statistics and psychological research using R and SPSS
Research & Teaching Assistant
Rochester Institute of Technology, 2018-01 - 2020-02
- Oversee several psychology research studies from literature review through data collection, manipulation, analysis, and presentation
- Utilize R, Python, SPSS, Tableau, and Qualtrics to complete the various stages of research
- Apply knowledge of research best practices, data management, and statistics to ensure integrity and accuracy of all stages of research
Skills #
Programming Languages, Tools, & Platforms
R, Python, Ruby, SQL, Golang, NoSql Databases, Vector Databases, Julia, MATLAB, SAS, Microsoft VBA, Google AppsScript, Git, Shell, Linux/Unix, Windows, Google Cloud Platform
Data Analysis & Statistical Techniques
Data manipulation, Data tidying, NLP (sentiment analysis, topic modeling, embedding), Feature engineering, Regresison (linear, logistic, polynomial), Mixed linear modeling, Structural equation modeling, (M)AN(C)OVA, Unsupervised & supervised classification, Principal component analysis & dimensionality reduction
Data & Statistics Software
SPSS, Tableau, Excel, Microsoft Access, Google Data Studio, KNIME, JASP, jamovi, RStudio, Spyder, MiniTab, Amazon MTurk, Qualtrics, MongoDB, Power BI, Looker, BigQuery
Research Skills
Experimental design, Survey design, Data collection, Literature review, Data analysis, Data visualization, Research presentation, Human subjects research, IRB compliance, Scientific writing, Academic writing
Education #
Rochester Institute of Technology - Graduate - Experimental Psychology, 2018-01 - 2019-12
Colgate University - Undergraduate - Japanese & Psychology, 2013-08 - 2017-05
Kyoto Japanese Language School - Semester-long Language Study - Japanese, 2014-08 - 2014-12
Projects #
particles: Contextual particle frequency in written Japanese, taking a swing at the age old question of は vs が
Keywords: Report, Python, Japanese, NLP
thesis: Analyses from my graduate thesis work, Investigating Emotion-label and Emotion-laden Words in a Semantic Satiation Paradigm
Keywords: Publication, R, Psycholinguistics, Study
aozora_corpus: A compilation of Japanese texts pulled from 青空文庫
Keywords: Corpus, R, Japanese, Literature
embs: Tools streamlining sentence embedding or clustering techniques
Keywords: Application, Report, Python, NLP
siftr: Shiny app using SIF sentence embeddings to separate out unwanted text data
Keywords: Application, R, NLP, Sentence embedding
priors: An experiment combining pretrained and bag of words embeddings to incorporate prior semantic knowledge
Keywords: Report, Python, NLP, Sentence embedding
bowts: An experiment combining pretrained and bag of words embedding approaches for embedding vector space manipulation
Keywords: Report, Python, NLP, Sentence embedding
iterate: Iterative clustering for sklearn clusterers
Keywords: Tools, Python, Clustering, NLP
topics: Experiments and utilities for text topic extraction using decision trees
Keywords: Tools, Python, Clustering, NLP
nlt: Representing tabular data in natural language
Keywords: Tools, Go, RAG, NLP
gsgf: Generating natural language expressions from JSGF
Keywords: Tools, Go, Application, NLP
Research Interests #
Speech Processing (EN & JP)
Keywords: Speech intelligibility, Phonology, Emotional word characteristics
Bilingualism
Keywords: Language acquisition, L2 phoneme processing
Natural Language Processing
Keywords: Word & sentence embedding, Unsupervised learning, Document classification
Certifications #
Google Cloud Associate Cloud Engineer 2023-04
Coursework #
Data Science & Statistics
Courses: Natural Language Processing Specialization, Feature Selection for Machine Learning, Deep Learning A-Z: Hands-On Artificial Neural Networks, Causal Data Science with Directed Acyclic Graphs, Bayesian Statistics, Graph Theory
Google Cloud Platform
Courses: Creating Business Value with Data and Looker Specialization, Customer Experiences with Contact Center AI - Dialogflow ES & CX Specializations, From Data to Insights with Google Cloud Learning Path, Machine Learning on Google Cloud Learning Path
Data Science Libraries & Languages
Courses: TensorFlow Developer Specialization, TensorFlow: Advanced Techniques Specialization, Complete Time Series Analysis Bootcamp in R, Master SQL for Data Science
