Data Scientist

Experience

Data Analyst

UBS - remote - January 2023 to Present

Optimized Organization-Wide Reporting:

• Owned end-to-end analytics and reporting pipelines supporting high-risk Restrictions & Exits workflows, where data accuracy directly impacts client transaction eligibility.
• Identified and resolved data quality issues, edge cases, and logic gaps, improving dashboard reliability and auditability in regulated reporting environments.
• Increased team efficiency by introducing standardized documentation, reusable templates, and peer SQL reviews, improving handoffs and reducing rework.

Regulatory Compliance and Reporting Leadership:

• Designed, validated, and maintained complex business logic for account restriction and unrestriction populations in partnership with stakeholders, ensuring regulatory and operational compliance.
• Automated a previously manual monthly reconciliation process by developing a Python-based ingestion and reconciliation workflow, reducing processing time from ~1 month to <3 hours (>95% time reduction) and significantly lowering operational risk.
• Translated ambiguous business requirements into clear technical specifications, accelerating delivery timelines by ~20% across multiple R&E initiatives.

Stakeholder Engagement and Strategic Alignment:

• Proactively engaged with stakeholders to understand and prioritize business needs, aligning data gathering and modeling strategies with organizational goals.
• Recognized through multiple strong peer and stakeholder feedbacks for ownership, reliability, and business impact.

Data Scientist

Vermeer - remote - Feb 2021 to December 2022

Data Collection and Analysis:

• Managed the collection, analysis, and processing of intricate datasets using advanced query, visualization, and analytical tools.

Python and Machine Learning Expertise:

• Utilized Python, PyTorch, and OpenCV within a Unity environment, contributing to the enhancement and maintenance of machine learning models for satellite imagery analysis.

Innovative Computer Vision Algorithms:

• Improved autonomous system accuracy by 25% through building and evaluating machine learning and deep learning models using Python, PyTorch, and OpenCV.
• Conducted experiments to develop novel computer vision algorithms, specifically for autonomous UAV navigation in GPS-denied environments.

Stakeholder Engagement:

• Fostered relationships with project stakeholders by providing valuable input in 94 weekly product reports, ensuring alignment with project goals.

Data and Policy Analyst

Pie for Providers - remote - Oct 2021 to Jan 2022 (4 month contract)

Collaborative SQL Architecture Development:

• Collaborated with software engineers to design and build the SQL architecture necessary for establishing a comprehensive data warehouse for the product.

Critical Evaluation of Information:

• Conducted rigorous evaluations of information collected from various sources, ensuring accuracy and reliability for preliminary reviews.

Expertise in Child Care Financial Assistance:

• Demonstrated a deep understanding of current issues and trends in child care financial assistance, specializing in 20 US states.

Freelance Data Scientist

remote - Oct 2020 to Present

Created Efficient and Creative Data Visualizations:

• Developed visually compelling and informative data visualizations, optimizing data communication and facilitating better decision-making.

Data Collection and Formatting:

• Employed SQL, Python (Pandas, NumPy), Jupyter Notebooks, and GitHub to proficiently collect, clean, and format large datasets, ensuring data integrity and accessibility.

Client Collaboration:

• Collaborated closely with clients to gain a comprehensive understanding of their data pain points, enabling tailored solutions and effective problem-solving.

Education

Bloomtech Institute of Technology - (fka Lambda School) - 2019-2020 - Badge of Completion

Mastery-Based Full-Stack Data Science Curriculum:

• Completed a rigorous 9-month, 2000+ hour full-stack data science curriculum, focusing on mastery-based learning.

Demonstrated Mastery in Core Areas:

• Exhibited expertise in key areas, including machine learning, data science statistics, big data analytics, and probability & discrete mathematics.

Skills

Coding Languages:

- Python
- SQL
- R

Technical Skills:

- A/B Testing
- Data Visualization
- Object-Oriented Programming (OOP)
- Predictive Modeling
- ETL (Extract, Transform, Load)
- Data Wrangling
- Hypothesis Testing
- Computer Vision
- Statistics
- Tableau