Entry Level Deep Learning
Resume:
Jordan Abel
LinkedIn : www.linkedin.com/in/jordan-abel-b39523253
Email-id : *********@*****.***
Contact : 772-***-****
Github : https://github.com/jordan-abel
Kaggle : https://www.kaggle.com/jordanabel
Profile Summary
Seeking an entry-level opportunity working with data. I am proficient with Python, good statistical knowledge and the ability to identify points of data. Well versed in spreadsheets, statistics, machine learning, predictive modeling, and visualization tools. Passion for excellence, eagerness to work, learn and explore new areas keeps me driving.
Academic Projects
Project title: Malaria Detection with Deep Learning Description: Used deep learning to create a model that detects and differentiates between images of uninfected and malaria infected red blood cells with a 98.4% accuracy.
Project title: Number Recognition from Street Level Images Description: Created a convolutional neural network that recognizes numbers in street level images with a 90% accuracy. The model will be used to detect addresses in images. Project title: FoodHub Data Analysis
Description: Uni-variate and multivariate analysis of a large dataset from a food delivery company to find ways to improve revenue. Six minute reduction in average weekend delivery times resulted in a 12% increase in revenue. Work Experience
Mayo Clinic, Jacksonville, FL – Cell Therapy/Clinical Trial Technologist August 2021 – April 2023
● Increased the number of clinical trial IRBs handled by the cell therapy laboratory by 25%. Collaborating with multiple health care departments and created a system organizing the stages and details of each trial were used to achieve this.
● Increased the number of successful patient stem cell transplants by 33%. I joined a small team and with my enthusiasm for learning, I quickly became a key member of the laboratory.
LifeSouth, Jacksonville, FL – Immunohematology Reference Laboratory Technologist
September 2019 – August 2021
● My proficiency enabled the creation of an evening shift and I fully trained one employee in one month.
● Increased the number of patient workups completed by 50% due to the creation of the evening shift.
● Used an Excel spreadsheet to monitor the phenotypes and blood types of the special antigen negative red blood cells we stocked.
Experience:
> 1 year of data science
> 6 years health care
Languages:
> Python
Skills:
Statistics and Data
Visualization:
> Descriptive, Statistical,
Predictive Analytics
> Seaborn, Matplotlib
Deep Learning:
> Neural Networks
> Computer Vision
> Image Recognition
> Tensorflow, Keras
Machine Learning:
> Classification and
Regression Algorithms
> Statistical Inference
> Exploratory Data Analysis
> Clustering Techniques
> PCA
> Recommendation Systems
> Hyper parameter Tuning
> Feature Selection
>Scikit, Numpy
>Pandas
Database:
> SQL
> Excel
Other software/Tools:
> Jupyter Notebook
> Google Collab
Education
> Applied Data Science from
Massachusetts Institute of
Technology
> Microbiology B.S. from
University of Florida
> Anthropology B.A. from
University of Florida
Publications
Filter Aggregate Formation After Using Dextran 40 Alternative Stem Cell Washing Solution
Jordan Abel, Rhonda Beckman, Holly Ross, Dearlyn Lojares, Carmel Sergio, Karafa Badjie, Walter Linz, Jennifer O’Brien. Special Issue Abstracts From the American Society for Apheresis 43rd Annual Meeting May 4–6, 2022 Philadelphia, Pennsylvania.
Frozen in Time – Too Much Product; Too Little Storage; So Little Time Carmel Sergio, Holly Ross, Rhonda Beckman, Dearlyn Lojares, Jonathan Blahy, Jordan Abel, Karafa Badjie, Jennifer O’Brien, Walter Linz. Special Issue Abstracts From the American Society for Apheresis 43rd Annual Meeting May 4–6, 2022 Philadelphia, Pennsylvania.
Certifications
> Technologist in
Immunohematology/Blood
Banking (ABB)
> Technologist in Molecular
Biology (ASCP)
> Emergency Medical
Responder (EMR)
> CPR, AED and Advanced
Cardiovascular Life Support
(ACLS) from the American
Heart Association
Contact this candidate