Data Scientist
Data Scientist at Fashion Retailer Brand
Schlagwörter
Data Analysis
Computer Vision
Power Bi
Forschung
Künstliche Neurale Netzwerke
Computerprogrammierung
Data Mining
Datenvisualisierung
R (Programmiersprache)
Python
Skills
Neural network, Programming, Computer Vision, Image recognition, data analysis, analytics, Data Analytics, Data mining, Data visualization, Deep learning, Feature engineering, Machine Learning, matplotlib, Excel, numpy, Object detection, pandas, Power BI, PowerBI, Python, R, SQL, scikit-learn, STATA, Supervised learning, Tensorflow, Unsupervised learning
Projekthistorie
02/2023
-
bis jetzt
Description
•Industry: Fashion Retailer
•Team: 50 people
•Category: Assortment and Promotion Optimization, Demand Forecasting
•Skills: Data Analytics, Business Intelligence
•Tools: Python, PowerBI
Project goal
•Optimize the assortment and promotion strategies to maximize overall revenue for the business
•Reduce assortment complexity, prevent stockouts and overstocking, leading to improved operational efficiency and cost savings
Project outcome
•Automated assortment and promotion dashboards developed and handed over to the client
•Industry: Fashion Retailer
•Team: 50 people
•Category: Assortment and Promotion Optimization, Demand Forecasting
•Skills: Data Analytics, Business Intelligence
•Tools: Python, PowerBI
Project goal
•Optimize the assortment and promotion strategies to maximize overall revenue for the business
•Reduce assortment complexity, prevent stockouts and overstocking, leading to improved operational efficiency and cost savings
Project outcome
•Automated assortment and promotion dashboards developed and handed over to the client
03/2023
-
04/2023
Pricing Analyst
Fashion Discounter Brand
Description
* Industry: Fashion retailer
* Team: 4 people
* Category: Competitive Pricing Analysis
* Skills: Analytics, Data Scrapping
* Tools: Python
Project goal
* Conduct a thorough examination of competitors' pricing
strategies within the fashion retail industry
* Developed a system to obtain competitors' prices and
accordingly identify pricing gaps and develop targeted
pricing strategies to enhance the retailer's competitiveness
Project outcome
* A thorough examination of competitors' pricing handed to
the client
* The automated system to obtain competitors' prices was
developed in replacement of the existing manual process
* Industry: Fashion retailer
* Team: 4 people
* Category: Competitive Pricing Analysis
* Skills: Analytics, Data Scrapping
* Tools: Python
Project goal
* Conduct a thorough examination of competitors' pricing
strategies within the fashion retail industry
* Developed a system to obtain competitors' prices and
accordingly identify pricing gaps and develop targeted
pricing strategies to enhance the retailer's competitiveness
Project outcome
* A thorough examination of competitors' pricing handed to
the client
* The automated system to obtain competitors' prices was
developed in replacement of the existing manual process
04/2022
-
10/2022
Computer Vision Engineer
Automotive Dealer Brand
Description
* Industry: Automotive
* Team: 3 people
* Category: Computer Vision
* Skills: Computer Vision, Data Visualization
* Tools: Python
Project goal
* Research on a computer vision-based price suggestion
system for used car dealers' website and app to assist
sellers in pricing and to attract more listings for dealers.
Project outcome
* A vision-based price prediction developed that uses image
data, which increases the prediction accuracy by 4%
compared to using tabular data only
* Industry: Automotive
* Team: 3 people
* Category: Computer Vision
* Skills: Computer Vision, Data Visualization
* Tools: Python
Project goal
* Research on a computer vision-based price suggestion
system for used car dealers' website and app to assist
sellers in pricing and to attract more listings for dealers.
Project outcome
* A vision-based price prediction developed that uses image
data, which increases the prediction accuracy by 4%
compared to using tabular data only
02/2022
-
09/2022
Junior Analyst
Drugstore Retailer Brand
Description
* Industry: Retailer
* Team: 5 people
* Category: Price Infringement Analysis
* Skills: Causal Inference, Data Analytics
* Tools: R, STATA
Project goal
* Protect and defend a client facing a lawsuit related to price
infringement by analyzing client's and market's pricing
Project outcome
* Diligently prepare and present comprehensive analysis
reports, engaging in an iterative back-and-forth process, to
effectively defend the client in court
7 Confidential - for discussion purposes only +49 1514 6213803 - linh.hoang@metyis.com
* Industry: Retailer
* Team: 5 people
* Category: Price Infringement Analysis
* Skills: Causal Inference, Data Analytics
* Tools: R, STATA
Project goal
* Protect and defend a client facing a lawsuit related to price
infringement by analyzing client's and market's pricing
Project outcome
* Diligently prepare and present comprehensive analysis
reports, engaging in an iterative back-and-forth process, to
effectively defend the client in court
7 Confidential - for discussion purposes only +49 1514 6213803 - linh.hoang@metyis.com
Reisebereitschaft
Weltweit verfügbar
