Python
Anton Vice
Data Scientist With Deep Learning Experience
Summary
A Data Scientist with experience in machine/deep learning and predictive modelling. Skilled in Python, SQL, Tableau, AutoML tools, and web and mobile application development. Experienced in working with large datasets to find trends and build models to predict outcomes. Strong communication skills with the ability to present complex data analysis in a clear and concise manner.
Overview
8
8
years of professional experience
7
7
years of post-secondary education
3
3
Certifications
Work History
Lead MLops
DeepVice Startup
Singapore
03.2020 - 08.2022
- Managed team of employees, overseeing hiring, training and professional growth of employees.
- Developed team communications and information for video meeting with Miro board and Trello
- Collected clients' preferences on features to be included in the UX/UI design , data streams, and machine learning models
- Created Agile software development sprints for the Design and Development teams.
- Engineered machine learning apps with Bubble, Adalo, Streamlit, and Flask: set up the design layouts; included data gathering, data preprocessing, and data analysis pipelines; developed machine learning models to be used on the data streams that resulted in 4 working MVPs and 2 final products currently utilized by restaurant and fitness businesses
Data Scientist
Vice City Living LLC
Miami, Florida
01.2020 - 03.2021
- Performed market analysis with scraped off the internet data with Python, defining the scope and target audience for the business
- Led a marketing team of 4 people, developing marketing and sales data streams for the optimization of the marketing strategies.
- Utilized A/B testing on social media marketing campaigns, reducing the marketing costs of the company by 50%
- Optimized the entire analytics and machine learning pipeline with Snowflake platform cutting employee costs by 75%
Data Scientist
JetBoat Miami
Miami, Florida
03.2018 - 12.2019
- Translated cost and benefits of machine learning technology for non-technical audiences.
- Implemented a new data processing pipeline that reduced processing time by 80% while also increasing accuracy by 10%.
- Integrated data streams with Zappier, airtable, and excel sheets
- Created data visualization graphics with Tableau and Seaborn, translating complex data sets into comprehensive visual representations.
- Assisted with creating and updating inventory and marketing strategies based on insights derived from data analysis which reduced marketing costs by 20% and inventory savings of 30%
- Utilized AutoML tools for prediction automation which reduced the time costs for predictions while maintaining high model validity of >80%
Data Analyst
Dolphin Family Tours
Cocoa Beach, FL
01.2017 - 05.2018
- Analyzed transactions system and PoS to develop tables from incoming data streams with SQL and Excel
- Built machine learning pipelines with scikitlearn which combined preprocessing of data: cleaning the null values, feature engineering and feature enrichment, encoding the categorical variables; feeding the preprocessed data into several machine learning models for categorization or regression; optimizing parameters with GridSearch; and evaluation and comparison of the models a to predict customer return
- Analyzed marketing strategies of local competitors to synthesize complex analytics-derived insights into easy-to-understand, actionable service recommendations for clients that were presented with Tableau
Data Analyst Intern
Nemo Submarines Del Caribe
Isla Mujeres
09.2016 - 12.2017
- Gathered data for analysis with webscraping tools BeautifulSoup and ParseHub
- Identified, analyzed and interpreted trends with Python's libraries Pandas, numpy, and scikitlearn to identify optimal marketing strategy which resulted in cutting marketing costs by 15%
- Created visual representations of analysis findings with matplotlib, ggplot, and seaborn to present the information to the management in concise and understandable form.
- Preprocessed data by dealing with NaN values and outliers resulting in accurate data analysis.
Education
Associate of Science - Information Technology
University of South Florida, Sarasota-Manatee
Sarasota, Florida 08.2015 - 05.2017
Bachelor of Science -
Florida International University
Miami, Florida 03.2017 - 09.2019
Certification - Machine Learning
Stanford University
Online 04.2021 - 12.2021
Professional Certificate - Data Science Generalist
Skillfactory
Moscow, Online 01.2021 - 09.2022
Skills
Agile
undefinedSoftware
Adalo/Bubble/Glide
Streamlit
Virtualization
Kubernetes
Docker
Git
Certification
Supervised Machine Learning @ Stanford
Interests
BMX
Programming
Surfing
Traveling
Timeline
Supervised Machine Learning @ Stanford
08-2022
UX/UI DEsign @ Google
07-2022
AR/VR/MR/XR: Technologies, Applications & IssuesIntro to AR/VR/MR/XR: Technologies, Applications & Issues
05-2022
Certification - Machine Learning
Stanford University
04.2021 - 12.2021
Professional Certificate - Data Science Generalist
Skillfactory
01.2021 - 09.2022
Lead MLops
DeepVice Startup
03.2020 - 08.2022
Data Scientist
Vice City Living LLC
01.2020 - 03.2021
Data Scientist
JetBoat Miami
03.2018 - 12.2019
Bachelor of Science -
Florida International University
03.2017 - 09.2019
Data Analyst
Dolphin Family Tours
01.2017 - 05.2018
Data Analyst Intern
Nemo Submarines Del Caribe
09.2016 - 12.2017
Associate of Science - Information Technology
University of South Florida, Sarasota-Manatee
08.2015 - 05.2017
Similar Profiles
Adam HassanAdam Hassan
Founding Team Member at Stealth StartupFounding Team Member at Stealth Startup
Gulzar SovetovaGulzar Sovetova
Business Development & Finance Associate at Cisco StartupBusiness Development & Finance Associate at Cisco Startup
Julie SamuelJulie Samuel
Senior Product Manager at Global Impact Finance Ltd. (Monito) - Fintech StartupSenior Product Manager at Global Impact Finance Ltd. (Monito) - Fintech Startup