Juan Gordyn Email & Phone Number
Who is Juan Gordyn? Overview
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Juan Gordyn is listed as Co-Founder and AI Lead at FocuStudio AI, based in Sydney, New South Wales, Australia. AeroLeads shows a matched LinkedIn profile for Juan Gordyn.
Juan Gordyn previously worked as Data Scientist at Phoenix Hsl and CHIEF OPERATING OFFICER & BUSINESS PARTNER at Gnc. Juan Gordyn holds Master'S Degree, Data Processing, Wam: 83.50/100; Gpa: 3.75/4 from Monash University.
Email format at FocuStudio AI
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About Juan Gordyn
The complement of my professional & academic experience has allowed me to develop really strong Data Science skills. I am excited to continue putting all of this into practice and further developing my career in Machine Learning & AI.
Listed skills include R Shiny, Neural Networks, Scikit Learn, Pandas, and 46 others.
Juan Gordyn's current company
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Juan Gordyn work experience
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Data Scientist
- Data Exploration & Discovery.- Building and maintaining data pre-processing pipelines for model fitting.- Feature Selection.- Statistical Modelling.- Model assessment.- New model's development, implementation & deployment: XGBoost, Neural Networks.- Model training using cloud technologies: AWS SageMaker.- Running simulations, analysing results and comparing different models.- Tools used: SQL (Google BigQuery), Python (pandas, numpy, scikitlearn,TensorFlow, Seaborn, Matplotlib, among others), R (RStudio, caret, GGPLOT, dplyr, data.table), Google Data Studio, AWS (SageMaker, EC2, S3, CloudWatch, among others), GitLab, Fork, etc.
Chief Operating Officer & Business Partner
Business Partner in Argentina and Uruguay of the U.S Company GNC Live Well.The tasks I have developed in the company, among others:DATA ANALYSIS- Customer segmentation using clustering techniques.- Demand forecasting using regression models.- Classification models building (XGBoost, Random Forest, Logistic Regression,SVM).- Reviews Sentiment Analysis and Classification using Deep Learning techniques (LSTM RNN, Glove) and Spacy.- Dashboard building.- Recommendation system building using Deep Learning techniques (Neural Matrix Factorisation) to boost up-sales and cross-sales in e-commerce & physical stores.DATA INTEGRATIONS-Logistics, Inventory Software and Back-Office integration: Warehouse, e- commerce and all physical points integration using Python to optimise inventory, supply-chain visibility and accurate financial reports.-Payment system integration: Physical point of sales and e-commerce integration with one general electronic payment system that facilitates transaction monitoring.-E-commerce integration: Shipping Operator and e-commerce integration to automatically print shipping label and generate tracking number once the order is created.-Pick up integration: E-commerce and physical point of sale inventory integration to allow e-commerce customer store pick ups.-ERP Integration.
Purchasing Analyst
Manufacturing Engineer
Juan Gordyn education
Master'S Degree, Data Processing, Wam: 83.50/100; Gpa: 3.75/4
Data Science Certificate, Data Modeling/Warehousing And Database Administration
Industrial Engineer, Industrial Engineering
Frequently asked questions about Juan Gordyn
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What company does Juan Gordyn work for?
Juan Gordyn works for FocuStudio AI.
What is Juan Gordyn's role at FocuStudio AI?
Juan Gordyn is listed as Co-Founder and AI Lead at FocuStudio AI.
Where is Juan Gordyn based?
Juan Gordyn is based in Sydney, New South Wales, Australia while working with FocuStudio AI.
What companies has Juan Gordyn worked for?
Juan Gordyn has worked for Focustudio Ai, Phoenix Hsl, Gnc, Petroquimica Comodoro Rivadavia S.A., and Johnson Controls.
How can I contact Juan Gordyn?
You can use AeroLeads to view verified contact signals for Juan Gordyn at FocuStudio AI, including work email, phone, and LinkedIn data when available.
What schools did Juan Gordyn attend?
Juan Gordyn holds Master'S Degree, Data Processing, Wam: 83.50/100; Gpa: 3.75/4 from Monash University.
What skills is Juan Gordyn known for?
Juan Gordyn is listed with skills including R Shiny, Neural Networks, Scikit Learn, Pandas, Amazon Web Services, Deep Neural Networks, Data Science, and Google Api.
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