Victor is available for hire

Victor Davis

Verified Expert in Engineering

Data Science Developer

Location

Atlanta, GA, United States

Toptal Member Since

October 3, 2017

Victor is an AWS-certified back-end developer and data scientist with over ten years of experience, passionate about the overlap of math, data, and language. Intellectually curious, quick to master new concepts, and always hungry for a challenge, he has excellent written and verbal communication skills and strong leadership, consulting, and public speaking abilities. Victor is a lifelong learner who strongly believes in ongoing education, travel, and work-life balance.

Data Queries Back-end Python Unit Testing Test-driven Development (TDD)Analytics Artificial Intelligence (AI)Data Analysis GitHub MySQL Microsoft SQL Server SQL Git Databases RStudio ORM

Portfolio

Toptal Clients

Statistics, Machine Learning, Data Analysis, SQL, R, Python, Flask, APIs...

Boaz Media Network Solutions

Microsoft SQL Server, SQL, R, Data Analytics, RStudio, Microsoft Excel, ETL...

Waffle House

MySQL, PHP, JavaScript, Microsoft SQL Server, ETL, Bash, Bash Script, HTML, CSS...

Experience

Mathematics - 15 years SQL - 10 years Python - 8 years R - 6 years Statistics - 4 years Machine Learning - 4 years Amazon Web Services (AWS) - 4 years GPT - 2 years

Availability

Part-time

Preferred Environment

GitHub, SQL, Linux, Python, Amazon Web Services (AWS), Analytics, Back-end, Git, JSON, Databases

The most amazing...

...discovery I've ever published is a novel formula describing the type-token relation which outperforms Heaps' Law.

Work Experience

Data Scientist

2018 - PRESENT

Toptal Clients

Acted as the principal developer of the Data Analytics library for a fintech startup building, validating, and monitoring financial models (Python). [Brussels, BE].
Served as a Back-end developer and data scientist contributing to a B2B Marketing SaaS product (Python). [London, UK].
Presented talks at trade conferences and published in trade journals. [New York, US].
Created data visualization software for pediatric doctors to share diagnosis and treatment information across centers using R. [Santiago, CL].
Served as a corporate trainer teaching the R, a programming language. [Seattle, US].
Tested and optimized code for hotel pricing software using R. [Brussels, BE].

Technologies: Statistics, Machine Learning, Data Analysis, SQL, R, Python, Flask, APIs, Artificial Intelligence (AI), Data Analytics, Statistical Analysis, Pandas, NumPy, Data Science, RStudio, Predictive Modeling, Predictive Analytics, GPT, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Text Analytics, Clustering, Linear Regression, Logistic Regression, Statistical Modeling, Model Validation, Monte Carlo Simulations, Markov Chain Monte Carlo (MCMC) Algorithms, Monte Carlo, Scikit-learn, Jupyter Notebook, RStudio Shiny, Data Queries, Object-relational Mapping (ORM), Bash, Bash Script, Unit Testing, JSON Web Tokens (JWT), API Development, REST, Test-driven Development (TDD), Docker, Financial Modeling, REST APIs, Amazon EC2, GitHub, Redshift, Analytics, T-SQL (Transact-SQL), PHP, JavaScript, HTML, CSS, Data Modeling, Data Visualization, Back-end, Object-oriented Programming (OOP), Git, JSON, Fintech, API Integration, Databases

IT Consultant

2014 - 2018

Boaz Media Network Solutions

Supported operators in inventory control, BOM and router management, material ordering, and logistical optimization.
Created BI dashboards and KPI scorecards communicating floor metrics to the C-level.
Wrote reports using Crystal and SSRS for all the departments.
Generated performance metrics through complex data mining and SQL data wrangling.
Developed software and analytical tools for miscellaneous clients.

Technologies: Microsoft SQL Server, SQL, R, Data Analytics, RStudio, Microsoft Excel, ETL, Bash, Bash Script, Data Analysis, Analytics, API Integration, Databases

Software Developer

2010 - 2014

Waffle House

Created interactive Google Maps using JavaScript, KML, and mathematical functions.
Implemented mathematical algorithms in COBOL to boost processing speed.
Generated BI reports based on analytical insights using SQL and R.
Wrote adapters for getting multi-generation platforms to communicate using principles of strong data design.
Built interactive Excel and SSRS reports based on business data.

Technologies: MySQL, PHP, JavaScript, Microsoft SQL Server, ETL, Bash, Bash Script, HTML, CSS, Object-oriented Programming (OOP), SQL Stored Procedures, Stored Procedure, T-SQL (Transact-SQL), Databases

Sales Manager

2006 - 2009

Vector Marketing

Sold $60,000 in Cutco Cutlery in customers' homes personally.
Created $98,000 in new business by managing a seasonal branch office in Columbus, GA.
Conducted individual and group interviews, ran training classes, and managed a team of sales reps.

Technologies: Sales, Management

Experience

Legomena

https://github.com/victordavis/legomena

A personal passion project developed and maintained a PyPi package complementing a computation linguistics paper published in Glottotheory (https://arxiv.org/pdf/1901.00521.pdf). The paper explores and refines ideas in information theory and NLP, particularly with regard to Heaps' Law.

Fast Character-level N-gram Language Model for Research Purposes

https://github.com/VictorDavis/chlengmo

I created this character-level N-gram language model package because I found the online tutorials for working with NLTK quite cumbersome, confusing, and slow. N-gram models are nowhere near the cutting edge of language modeling. However, they are still useful for establishing baselines, running simple information, like theoretic experiments and calculations, and overall useful for NLP research. This package is fast and truly plug-and-play.

Minimum Spanning Cones in 2, 3, 4 Dimensional Space

https://github.com/VictorDavis/conebound

I worked on this exciting math and optimization problem relevant to graphics, GPU computing, and geospatial analysis: What is the minimum aperture angle of a cone apex at the origin containing n random points in d-dimensional space? An even simpler version, do they all fall on one side of a (hyper)plane? This question represents a simple-sounding problem with very complex, inefficient dimension-specific solutions. Turns out to be a combinatoric, linear programming type problem, not necessarily geometric, and the established worst- and average-case solutions are not great.

Skills

Languages

Python, R, SQL, JavaScript, PHP, Bash, Bash Script, HTML, CSS, Stored Procedure, T-SQL (Transact-SQL), Java

Paradigms

Unit Testing, Test-driven Development (TDD), Object-oriented Programming (OOP), Data Science, Object-relational Mapping (ORM), ETL, REST, Management

Other

Mathematics, Data Queries, Back-end, Data Analysis, Statistics, Artificial Intelligence (AI), APIs, Analytics, Data Modeling, Predictive Modeling, Predictive Analytics, Text Analytics, Machine Learning, Natural Language Processing (NLP), Clustering, Data Analytics, Linear Regression, Logistic Regression, Statistical Analysis, Statistical Modeling, Model Validation, Monte Carlo Simulations, Markov Chain Monte Carlo (MCMC) Algorithms, Monte Carlo, Financial Modeling, Sales, 3D Math, Linear Optimization, Data Visualization, Fintech, API Integration, XAMPP Stack, GPT, Generative Pre-trained Transformers (GPT)

Frameworks

Flask, RStudio Shiny, JSON Web Tokens (JWT)

Tools

GitHub, Git, Microsoft Excel

Platforms

RStudio, Linux, Jupyter Notebook, Amazon Web Services (AWS), Docker, Amazon EC2, AWS Lambda, LAMP

Storage

MySQL, Microsoft SQL Server, Databases, Redshift, Amazon DynamoDB, SQL Stored Procedures, JSON

Libraries/APIs

Scikit-learn, TensorFlow, Pandas, NumPy, API Development, REST APIs

Education

2005 - 2007

Bachelor of Science Degree in Mathematics

Southern Polytechnic State University - Marietta, Georgia, USA

Certifications

OCTOBER 2021 - OCTOBER 2024

AWS Certified Cloud Practitioner

AWS

SEPTEMBER 2021 - SEPTEMBER 2024

AWS Certified Machine Learning – Specialty

AWS

APRIL 2016 - PRESENT

Data Science Specialization

Johns Hopkins University

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