Deniz Nuhoglu
Senior Data Scientist
Deniz was born in Istanbul, where Europe greets Asia. In 2014, Deniz got his degrees on Industrial Engineering and Economics from Koc University. He obtained his Masters of Data Science from University of Sydney in 2019. He worked in different sectors in FMCG, Retail, Financial Services, Telecommunication and e-Commerce.
- Location
- Lisbon, Lisbon, Europe, Portugal
- deniz@prediktiv.com.au
- Phone
- +351-910631516
- Website
- https://denizn.github.io
- Deniz Doruk Nuhoglu
Experience
– present
Founder, Senior Data Scientist at Prediktiv Analytica
Deniz provided Data Science solutions and consulting to the Australian e-commerce Giant THE ICONIC
Highlights
- Machine learning and deep learning models on Pytorch/Tensorflow
- Recommendation Engine applications
- Graph based AI algorithms
- Time series modelling
–
Senior Data Scientist at THE ICONIC
Deniz provided Data Science solutions and consulting to the Australian e-commerce Giant THE ICONIC
Highlights
- Implemented Google Recommendations AI to produce lists such as Items You May Like and Similar Items
- Performed Exploratory Data Analysis and graph based distance calculations across the Fulfilment Center
- Implemented Vertex AI Time Series Forecasting for THE ICONIC's product portfolio
–
Data Scientist at Vodafone
Deniz worked as the main developer for the Next Best Action engine at Vodafone
Highlights
- Development of the Next Best Action engine
–
Senior Analyst at Commonwealth Bank
Deniz worked in the pricing analytics team at Commonwealth Bank,
Highlights
- Price optimization for credit cards and personal loans
–
Forecasting Analyst at Woolworths Group
Deniz worked in the demand planning team which was responsible for demand forecasts for all categories
Highlights
- Forecasting liquor sales for Australia
Education
–
Masters in Information Technology from University of Sydney with GPA of
Courses
- Machine Learning
- Deep Learning
Languages
- English
- Fluency: Native speaker
Skills
- Python
- Level: MasterKeywords:
- Machine Learning
- Level: MasterKeywords:
