Jasper Sylvestre

ad4bo1@r.postjobfree.com 919-***-**** 28448 Cole Pl., Hayward, CA 94544 github.com/JasperSylvestre

Summary

Recently graduated from North Carolina State University with a B.S. in Statistics and a Minor in Mathematics, ranking first in the class. Competent in a wide range of tools and languages used for data analysis, modeling, and visualization, including Python, R, SAS, and Tableau. Experienced in implementing ML/DL models to solve problems using PyTorch. Proficient in database engineering using MySQL and Spark. Adept at cloud computing with AWS and Microsoft Azure. Demonstrates excellency in soft skills including analytical thinking, communication, teamwork, time management, and a passion for continuous learning. Currently a Software Developer at DataAnnotation, specializing in LLM code and rationale review, but aspiring to transition into a role as a data professional. Eager to pursue an M.S. in Data Science/ML in the future.

Education

North Carolina State University Raleigh NC Graduation December 2023

B.S. in Science of Statistics and a Minor in Mathematics, GPA 4.0, Summa Cum Laude, Ranked 1 in Graduating Class

Skills

Statistical analysis techniques, including: Regression Analysis, Descriptive Statistics, Inferential Statistics, Time Series Analysis, Experimental Design, Survey Design, Sampling Techniques, and Bayesian Statistics

Theoretical statistics and probability theory

Data Analysis, Data Visualization, and Modeling Tools using tools including: R, Python, SAS, and Tableau

Supervised Learning/ML techniques such as: KNN, Naive Bayes, Random Forests, and GBM

Unsupervised Learning/ML techniques such as: K-means clustering, hierarchical clustering, and PCA

Deep learning models using PyTorch for models such as computer vision, NLP, and reinforcement learning

Windows and Unix-based operating systems and Bash/Powershell scripting

Microsoft Word, Excel, Access, and Power BI

Database Engineering using MySQL, Spark, and Hadoop

Cloud Computing using AWS and Microsoft Azure

Interactive computing environments, including Jupyter Notebooks and Google Colab

Version control using Git and GitHub for collaborative code management

Academic & Portfolio Projects

Implemented a BiLSTM model for identifying if social media posts identified disasters or not using PyTorch, achieving an accuracy of over 85% on a benchmark dataset.

Conducted rigorous data cleaning, EDA, and feature engineering in Python, culminating in tailored model recommendations for a dataset on vehicle accidents across the U.S.

Validated the results of a paper on meta-learning for few-shot learning tasks using PyTorch.

Collaborated to attain over 90% accuracy in categorizing medical errors from free-text descriptions with R.

Employed AWS and Python for a streamlined healthcare data ML pipeline for scalable data processing and analysis.

Utilized global COVID-19 and vaccine data to evaluate the impact of preventive measures using Random Forests in R.

Developed a CNN in PyTorch achieving over 98% accuracy in labeling defects in manufactured products.

Implemented statistical transfer models for predicting sales using time series analysis in SAS.

Professional Experience

Software Developer - AI Trainer DataAnnotation Oakland CA August 2023 - Present

I evaluate code and rationale provided from multiple LLMs, ensuring proper syntax, logic, efficiency, accuracy, and brevity across contexts with Python, R, and SQL. Utilizing software development best practices, I provide clear, concise feedback and recommendations to enhance LLM code and text output quality. With efficient time management and precise reporting, I consistently meet deadlines and enable effective communication with colleagues and management.

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