Anabel Pichardo
Data Scientist · ML Researcher
Education
MSc in Data Science (Methodology)
Barcelona School of Economics (BSE) – in partnership with UPF & UAB
Thesis: Generative Modeling by Optimal Transport (supervised by Prof. Gergely Neu)
MS in Computer Science
New Jersey Institute of Technology (NJIT)
Incomplete – 2 semesters completed
BS in Corporate Finance
Ithaca College
Cum Laude · Dean's List
Experience
Senior Financial Analyst
Jun 2022 – Aug 2024
Northeast Power Coordinating Council
New York, NY
- Built automated data validation pipelines to monitor budgets, revenue, and pipeline reporting data across 8 departments at a critical infrastructure organization overseeing bulk power grid reliability
- Designed real-time dashboards that replaced static reporting, enabling data-driven decisions across the organization
- Developed forecasting models using historical spend data to predict budget trends and improve multi-year planning accuracy
- Engineered the companywide migration to digital AP workflows from scoping requirements to driving adoption
- Maintained and secured financial data across platforms including Concur, ensuring data integrity across contract tracking pipelines
- Conducted budget variance analysis and presented findings to stakeholders and board members, identifying key cost drivers
- Provided logistical and financial support to department leads across budget planning, reporting, and resource allocation
Human Resource Intern
Jan 2019 – May 2019
Oracle
New York, NY
- Supported campus-wide implementation of Oracle HCM systems; led training sessions and collaborated with HRIS/IT teams to configure automated workflows and ensure data consistency
Finance Assistant
Sep 2016 – Jan 2019
New Roots Charter School
New York, NY
- Analyzed and audited financial records; created detailed reports and Excel-based tracking tools for payroll and vendor payments
- Conducted trend analysis on disbursement reports to enable more accurate financial planning and forecasting
Projects
Generative Modeling by Optimal Transport
Python · PyTorch · Optimization
Causal Claims & Limitation Disclosure in Economics Journals
Python · spaCy · NLP
Humanitarian Tweet Classification with BERT
Python · Hugging Face · BERT
COMPAS Fairness Analysis
Python · pandas · Fairness Metrics
Geospatial Dietary Similarity Analysis
R · Spatial Econometrics · FAO Data
Technical Skills
Languages
Python · SQL / PostgreSQL · R · VBA
ML & AI
Neural Networks · Deep Learning · NLP · Causal Inference · Reinforcement Learning · Optimal Transport · Generative Modeling
Math & Stats
Statistical Modeling · Probability Theory · Linear Algebra · Bayesian Methods · Hypothesis Testing
Frameworks
scikit-learn · TensorFlow / Keras · PyTorch · pandas · NumPy
Data & Viz
Power BI · Tableau · Excel (Advanced) · Power Query
Cloud
AWS · Hadoop · Hive · MapReduce · ETL / Data Pipelines
Research Interests
- AI safety and alignment - ensuring AI systems are safe, interpretable, fair, and transparent
- Applying statistical learning and ML methods to advance scientific discovery and real-world decision-making
Honors & Leadership
- Du Bois-Mandela Award for Scholarship, Leadership & Service 2019
- President, Business Intentional Club, Ithaca College Business School 2018–2019
Languages
English — Fluent
Spanish — Fluent