What am I doing now.. ?
Masters of Science in Applied Data Sciences @ University of Chicago 🔴 ⚪️
Data Scientist at Bank of New York Mellon
Financial Data Sciences & Modeling
Technologies -> Python (OOP, ScikitLearn, Matplotlib, Pandas, NumPy, Gensim, PyTorch, Tensorflow, NLTK, Plotly, Seaborn, Psycopg2, Spark, XGBboost, Flask), R (caret, DT, lubridate, plotly, tidyverse, LDA, ggplot2, flexdashboard, Shiny, tm, textreuse), SQLite, SQL, Julia
- Location: Pittsburgh, PA 🌃
- Citizenship: USA 🇺🇸
- Researches and Blogs: Applied Stats, NLP, Traditional ML, Fraud Detection
- Degree: Masters of Science 📖
- School Email: ysaplan@uchicago.edu
- Looking for: A Coffee Chat ☕️
Quick Statistics to Get to Know Me
"Unveiling the untold stories hidden in complex data" - The Art of Data Science
Years of Industry Data Science Experience
Months of Internship Experience
Number of projects with Python, R Studio, SQL, and Cloud Apps
Data Science Related Awards
Technical Skills
"Beyond the Bars: My Experience and Expertise in Data Science and Machine Learning"
Most Recent Resume - 2023
Master of Science in Applied Data Sciences / Graduation: January 2025
Relevant Courses Taken at University Level
Data Science Related Courses
University of Chicago
Advanced Machine Learning and Artificial Intelligence, Time Series Analysis and Forecasting, Statistical Analysis, Data Mining Principles, Machine Learning and Predictive Analytics, Linear and Nonlinear Models for Business Application, Big Data Platforms, Data Science for Consulting, Bayesian Methods, Natural Language Processing and Cognitive Computing
Pennsylvania State University
Applied Data Sciences, Data Science Capstone, Programming Models for Big Data, Machine Learning for Data Analytics, Data Integration, Calculus with Analytic Geometry I and II, Data Management, Data Science Through Statistical Reasoning and Computation, Introduction to Data Sciences, Discrete Mathematics for Computer Science, Matrices, Object-Oriented Programming with Web-Based Applications, Organization of Data, Programming and Computation I and II, Introduction to R, Probability and Statistical Inference, Privacy and Security for Data Sciences, Visual Analytics for Data Sciences, Ethical Issues in Data Science Practice
Education
University of Chicago
2023 - 2025
Data Science Institute Scholarship
MS in Applied Data Sciences
Pennsylvania State University, University Park
2018 - 2023
Bunton-Waller Scholarship
BS in Applied Data Sciences and Minor in Cybersecurity
Work History
Bank of New York Mellon
Data Scientist I
August 2023 - Present
Pittsburgh, PA
- Software Engineering and Technology University Program (SETUP)
Data Scientist, Machine Learning Engineer Intern
2022 Summer
Titusville, NJ
- Developed a pipeline using Python to process United States’ largest Crohn’s Disease dataset into a clean, standard format and mapped data using key identifiers.
- Performed complex SQL queries to map millions of rows of data from various datasets and evaluated the feasibility of NLP analysis for all potential features.
- Identified the main categories and topics in each field and utilized TF-IDF, cosine similarity, and topic modeling for an unsupervised NLP model in Python.
- Programmed an unsupervised NLP (Latent Dirichlet Allocation) algorithm using the Gensim package in Python to map concept names among unobserved groups and trained the model to be tested in other innovation projects.
- Presented the completed NLP project to the North America Commercial Data Science Team at Johnson and Johnson.
Data Science, Analytics Intern
2021 Summer and 2021 Fall
Raritan, NJ
- Assisted auditors with the execution of innovation projects by enabling capabilities e.g. machine learning, NLP to transform the E2E audit process utilizing Data Science programming languages like Python (NLTK, Numpy, Scikit), SQL, and R Studio.
- Worked on various aspects of data science and analytics such as aggregated analysis, metrics, and dashboardsgeneration, pull reports from Amazon S3(Cloudberry), develop automatic analytics tools using R Shiny and flexdashboard packages, build predictive models, and improve data visualization of QA data.
Areas of Work
Separated my work in different areas of focus
- All
- Data Sciences and Analytics
- Penn State Projects
- Personal Projects
Contact
I am currently at
United States
Why send Email?
If you want to connect with me professionaly.