Freelancer logo How It Works Browse Jobs Log In Sign Up Post a Project
You're now following .
Error following user.
This user does not allow users to follow them.
You are already following this user.
Your membership plan only allows 0 follows. Upgrade here.
Successfully unfollowed user.
Error unfollowing user.
You have successfully recommended
Error recommending user.
Email successfully verified.
User Avatar
$30 USD / hour
Flag of NETHERLANDS
amsterdam, netherlands
$30 USD / hour
It's currently 8:47 AM here
Joined September 17, 2020
0 Recommendations

Zachary W.

@zjwarnes

0.0 (0 reviews)
0.0
0.0
$30 USD / hour
Flag of NETHERLANDS
amsterdam, netherlands
$30 USD / hour
N/A
Jobs Completed
N/A
On Budget
N/A
On Time
N/A
Repeat Hire Rate

MSc. Data Scientist

I obtained my MSc degree in Data Science from Maastricht University in the Netherlands and a BSc in mathematics and computer science from McGill University. Currently a practicing data scientist and technical writer. I have a strong background in software development and data engineering. In addition, I have three years of experience analyzing large datasets of electronic healthcare records and developing end-to-end ETL pipelines and a year of developing educational software for Maastricht University and University College Maastricht. I've worked extensively with PostgreSQL and SQL Server databases and over six years of programming in Python. Moreover, I've worked with R, Java, JavaScript, Groovy, and MATLAB. In addition, I have extensive knowledge of machine learning, deep learning, natural language processing, computer vision and statistical models from over six years of combined work and research. Projects and Skills by Category: Machine Learning and Statistical models: 1) Linear/Logistic Regression 2) Generalized Linear Models 3) Decision Trees, Random Forests, Gradient Boosting Trees 4) SVM 5) k-Means, DBSCAN, Agglomerative Hierarchical Clustering 6) XGBoost, LightGBM, CatBoost 7) Gaussian Processes 8) Neural Networks, RNN, LSTM, CNN 9) Deep Learning Specialization 10) Embedding models Word2Vec, Doc2Vec, BERT 11) OpenCV, OpenPose, YOLO 12) NER and Topic Modeling 13) Q-Learning, DQN, SARSA 14) SHAP, PDP 15) Bayesian Optimization Software Engineering: 1) REST, OOP 2) Flask, Django 3) Github, Gitlab 4) Pandas, Numpy 5) Tensorflow, Scikit-Learn Data Visualization 1) Plotly, Dash, R-Shiny 2) Data Studio 3) Matplotlib 4) Microsoft Power BI Database 1) MS SQL Server 2) PostgreSQL 3) MySQL 4) GraphDB 5) IBM Cloud (IBM Data Engineering Specialization) 6) Fluent in SQL Once hired, I can deliver within 1-10 days (including weekends) If you think I would be a good fit for your project, shoot me a message, and I'll respond within 24 hours. Thank you for your time.
Freelancer Python Developers Netherlands

Contact Zachary W. about your job

Log in to discuss any details over chat.

Portfolio Items

Financial Analysis for Equities can be a long a laborious task. In this project I created automated interactive financial reports for a user specified list of cryptocurrencies.

The analysis involved calculating RSI and Bollinger Bands along with monitoring the changes of different coins from minute to minute.

The project was built using Python and Plotly. Additionally the code is extensible to an user specified equity using the free-to-use Alpha Vantage API.

The full article can be found here: towardsdatascience.com/automated-interactive-reports-with-plotly-and-python-88dbe3aae5

https://datapane.com/u/zac/reports/0kz9vo7/dogecoin-report/
Automated Interactive Financial Reports
The project aimed to determine the correlation between different topic areas of math exchange and stack exchange. These topics were selected by abstracting the posts into embeddings then clustering the similar embeddings.

The project showed that abstracted topics were discoverable from the embeddings generated. Once identified, the correlation between these topics is compared over time. These comparisons also facilitated a time series lag analysis which identified when traffic in a topic in one exchange was a precursor to traffic in the other exchange.
NLP - Topic Trend Analysis
The project aimed to determine the correlation between different topic areas of math exchange and stack exchange. These topics were selected by abstracting the posts into embeddings then clustering the similar embeddings.

The project showed that abstracted topics were discoverable from the embeddings generated. Once identified, the correlation between these topics is compared over time. These comparisons also facilitated a time series lag analysis which identified when traffic in a topic in one exchange was a precursor to traffic in the other exchange.
NLP - Topic Trend Analysis
The project aimed to determine the correlation between different topic areas of math exchange and stack exchange. These topics were selected by abstracting the posts into embeddings then clustering the similar embeddings.

The project showed that abstracted topics were discoverable from the embeddings generated. Once identified, the correlation between these topics is compared over time. These comparisons also facilitated a time series lag analysis which identified when traffic in a topic in one exchange was a precursor to traffic in the other exchange.
NLP - Topic Trend Analysis
The project aimed to determine the correlation between different topic areas of math exchange and stack exchange. These topics were selected by abstracting the posts into embeddings then clustering the similar embeddings.

The project showed that abstracted topics were discoverable from the embeddings generated. Once identified, the correlation between these topics is compared over time. These comparisons also facilitated a time series lag analysis which identified when traffic in a topic in one exchange was a precursor to traffic in the other exchange.
NLP - Topic Trend Analysis

Reviews

Changes saved
No user reviews
No reviews to see here!

Experience

Researcher

Pacmed
Sep 2020 - Aug 2021 (11 months, 2 days)
Improved the existing ICU readmission forecasting classification model by up to 4% AUC through Bayesian hyperparameter optimization, improved feature selection, and oversampling techniques. Generated prototype models for patient deterioration detection using anomaly detection, LOS classification, and readmission prediction with CNNs. Implemented ETL pipeline and performed data validation project totaling over 500 million records. PostGres, Tensorflow, Scitkit-Learn, Spark

Analytical Consultant

AnalysisWorks
Aug 2017 - Jul 2019 (1 year, 11 months)
Implemented standardized ETL pipelines for hospitals across Canada with automated scripting, managing over 10 million hospital transactions. Resulting in total processing and review time dropping up to 80%. Designed a monitoring dashboard and optimized database for millions of KPIs reducing data validation time by 50%. Produced demographic and logistic analyses, as well as forecasting models for hospital planning projects. R, RShiny, and Plotly, Excel, VBA, SQLServer & PowerShell.

Education

MSc. Data Science

Universiteit Maastricht, Netherlands 2019 - 2021
(2 years)

BSc. Mathematics and Computer Science

McGill University, Canada 2013 - 2017
(4 years)

Contact Zachary W. about your job

Log in to discuss any details over chat.

Verifications

Preferred Freelancer
Identity Verified
Payment Verified
Phone Verified
Email Verified
Facebook Connected

Top Skills

Python Data Processing Matlab and Mathematica SQL Algorithm

Browse Similar Freelancers

Python Developers in Netherlands
Python Developers
Data Processing Executives
Matlab and Mathematica Engineers

Browse Similar Showcases

Python
Data Processing
Matlab and Mathematica
SQL
Previous User
Next User
Invite sent successfully!
Registered Users Total Jobs Posted
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2022 Freelancer Technology Pty Limited (ACN 142 189 759)
There is no internet connection
Loading preview