experience & credentials

My Resume

Data scientist with 5+ years in fintech and analytics, specializing in machine learning, NLP, and predictive modeling. Bridges production-level engineering with data science, fluent in Python, SQL, and end-to-end ML pipelines. Focused on building models that drive real decisions.

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who I am

Professional Snapshot

Data scientist with 5+ years in fintech and analytics, specializing in machine learning, NLP, and predictive modeling. Bridges production-level engineering with data science, fluent in Python, SQL, and end-to-end ML pipelines. Pursuing M.S. in Data Science. Focused on building models that drive real decisions.

ML / AI scikit-learn · KMeans · Random Forest · Logistic Regression · TF-IDF · NLP · Feature Engineering

Languages Python (Pandas, NumPy, Seaborn, Matplotlib) · SQL

Data Eng. Snowflake · ETL · Data Validation · API Integration · Power BI

featured work

Selected Projects

AI Personas for Moms

NLP & Behavioral Segmentation

kamriwilliams.com/projects

Collected original dataset of 52 survey responses; built end-to-end ML pipeline (TF-IDF → KMeans → Random Forest) achieving 55% accuracy across 8 classes — 4× better than random baseline
Identified 8 behavioral AI-user personas; top persona (Routine Queen) reached F1=0.86. Results inform nonprofit product design for Melanated Mamas Golden Crescent

Heart Disease Prediction

Binary Classification

kamriwilliams.com/projects

Built Logistic Regression & KNN classifiers on patient health data; Logistic Regression achieved 0.88 recall (sensitivity), outperforming KNN (0.84) — prioritizing detection of true positives in a high-stakes health context

where I've worked

Experience Highlights

Q2 Software

Application Support Engineer, Squad Lead

2022 – Present

Investigate complex production issues across 300+ financial institutions using SQL, log analysis, and data validation to identify root causes in high-availability systems
Write SQL queries to investigate client-specific reporting and auditing databases for production issue resolution
Acted as the primary go-to resource for 4 junior support agents, troubleshooting complex tickets and accelerating their time-to-resolution
Leveraged data and performance metrics to prioritize work queues, optimize resource allocation, and improve operational efficiency
Collaborated across teams to streamline workflows, enhance knowledge sharing, and drive process automation opportunities
Mentored junior agents on best practices, quality standards, and structured decision-making processes

Wipro

Project Engineer — Meta Reality Labs & Messenger

2021 – 2022

Analyzed logs, defects, and code behavior to surface failure trends; optimized testing schedules across 20+ QA agents via workload analysis
Worked alongside VP stakeholders to ensure product quality and alignment across delivery milestones
Tracked test projects for virtual assistant program pre-production, monitoring progress and surfacing blockers ahead of launch
Supported NLP-powered conversational systems through testing, debugging, log analysis, and production issue investigation to improve model reliability and user experience

Cap Metro

IT Service Desk Analyst

2019 – 2021

Converted 100% of onsite employees to remote work, coordinating hardware, access, and continuity across the full organization
Troubleshot Level 1 & 2 hardware and software problems, resolving end-user issues across a distributed workforce
Tracked recurring incident trends to strengthen operational reporting and reduce resolution time

credentials

Education &
Certifications

In Progress

M.S. Data Science

Western Governors University

Completed

B.S. Data Management & Analytics

Western Governors University

Completed · 2021

A.A.S. Network Administration

Austin Community College

Completed · 2021

A.A.S. Security Administration

Austin Community College

Udacity — Data Analysis Nanodegree

CompTIA A+

CompTIA Network+

CompTIA Project+