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- 浏览所有搜寻结果
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- 检视使用者信箱 & 电话
职场能力评价定义
Huseyin Can
Minareci
Warsaw, Poland
Hello, I am Can, I am passionate about Data Science, Machine Learning,
AI and software development. I enjoy traveling, adventures, computer games and discovering new things.
hcan-m [email protected] +48 510 686 315
Pyhton, Pandas, PySpark, Numpy, Scikit-Learn, Flask,
Selenium, Scrapy, beautifulsoup, HTML 
R, tidyverse, dplyr, tidy, purrr, ggplot2, Shiny
Tensorflow, Keras, BERT, LightGBM
Excel SQL Git Jenkins Docker Azure
Languages: Turkish, English
Data Analysis, Data Visualization, Data Science, Machine Learning, Algorithms
Teamwork, attention to detail, adaptability,
problem-solving, analytical thinking
Experience & Education
Data Scientist • Procter & Gamble
October 2021 - Present
- Being part of an international agile team responsible for the development and maintenance of a software product with a machine learning model to predict shipments and the impact of promotions used in 3 regions.
- Managing and solving data science related events.
- Prototyping and generation of ML models.
NLP Developer & Voc Analyst • Huawei
December 2020 - September 2021
- Gathering, cleaning, augmenting and preparing Voice of Customer data.
- Fine-tuning the BERT for text classification task.
- Building a web application for recommendation of a given text's category to the user in order to speed up the categorization and reporting process.
- Monitoring and analyzing public opinion and identifying major complaints and discovering problems of users.
Technical Support Advisor • Teleperformance
August 2018 - January 2019
- Providing technical and non-technical support to customers
- Troubleshooting, isolating and solving issues
- Maintain a friendly, professional manner and calm, positive attitude when handling complaints
Product Management and Strategic Marketing Intern • Yurtici Kargo
February 2017 - March 2017
- Taking part in the creation of new campaigns and solving technical issues.
- Innovative research for improving sales.
- Taking part in integration between company’s and client's systems.
University of Warsaw 2019–2021
MA, Data Science and Business Analytics
Ege University 2012–2017
Bachelor, Economics
Slovak University of Agriculture in Nitra 2015–2016
Bachelor, Economics / Erasmus +
Projects
AI - NLP
Web application for recommendation of a given text's category with using BERT. (Python, pandas, BERT, TF, Keras, Flask, SQL)
Text Mining
Topic Modeling and Sentiment Analysis on Gamestop Tweets extracted from Twitter.(Python, sklearn, NLTKtweepy)
Machine Learning
Used Car Price Prediction with Linear Regression, KNN and Random Forest.
Cross-Sell Prediction with Random Forest, XGBoost.
Econometric Research
FDI, financial sector development and economic growth: an econometric analysis for countries with different levels of economic development. Panel Data (R)
Web Scraping
Web Scraper for pesmaster.com (Python, Selenium, Scrapy)
Unsupervised Learning
Clustering, Dimension reduction and Association Rules project (RStudio)
Analytical Dashboard
(Shiny, R, tidyverse) https://hcanm.shinyapps.io/EmployeeAttritionAnalysis/
Web Application
MyMovieBase: creating custom watch lists (Python, Flask, MySQL, HTML)
Huseyin Can
Minareci
Warsaw, Poland
Hello, I am Can, I am passionate about Data Science, Machine Learning,
AI and software development. I enjoy traveling, adventures, computer games and discovering new things.
hcan-m [email protected] +48 510 686 315
Pyhton, Pandas, PySpark, Numpy, Scikit-Learn, Flask,
Selenium, Scrapy, beautifulsoup, HTML R, tidyverse, dplyr, tidy, purrr, ggplot2, Shiny
Tensorflow, Keras, BERT, LightGBM
Excel SQL Git Jenkins Docker Azure
Languages: Turkish, English
Data Analysis, Data Visualization, Data Science, Machine Learning, Algorithms
Teamwork, attention to detail, adaptability,
problem-solving, analytical thinking
Experience & Education
Data Scientist • Procter & Gamble
October 2021 - Present
- Being part of an international agile team responsible for the development and maintenance of a software product with a machine learning model to predict shipments and the impact of promotions used in 3 regions.
- Managing and solving data science related events.
- Prototyping and generation of ML models.
NLP Developer & Voc Analyst • Huawei
December 2020 - September 2021
- Gathering, cleaning, augmenting and preparing Voice of Customer data.
- Fine-tuning the BERT for text classification task.
- Building a web application for recommendation of a given text's category to the user in order to speed up the categorization and reporting process.
- Monitoring and analyzing public opinion and identifying major complaints and discovering problems of users.
Technical Support Advisor • Teleperformance
August 2018 - January 2019
- Providing technical and non-technical support to customers
- Troubleshooting, isolating and solving issues
- Maintain a friendly, professional manner and calm, positive attitude when handling complaints
Product Management and Strategic Marketing Intern • Yurtici Kargo
February 2017 - March 2017
- Taking part in the creation of new campaigns and solving technical issues.
- Innovative research for improving sales.
- Taking part in integration between company’s and client's systems.
University of Warsaw 2019–2021
MA, Data Science and Business Analytics
Ege University 2012–2017
Bachelor, Economics
Slovak University of Agriculture in Nitra 2015–2016
Bachelor, Economics / Erasmus +
Projects
AI - NLP
Web application for recommendation of a given text's category with using BERT. (Python, pandas, BERT, TF, Keras, Flask, SQL)
Text Mining
Topic Modeling and Sentiment Analysis on Gamestop Tweets extracted from Twitter.(Python, sklearn, NLTKtweepy)
Machine Learning
Used Car Price Prediction with Linear Regression, KNN and Random Forest.
Cross-Sell Prediction with Random Forest, XGBoost.
Econometric Research
FDI, financial sector development and economic growth: an econometric analysis for countries with different levels of economic development. Panel Data (R)
Web Scraping
Web Scraper for pesmaster.com (Python, Selenium, Scrapy)
Unsupervised Learning
Clustering, Dimension reduction and Association Rules project (RStudio)
Analytical Dashboard
(Shiny, R, tidyverse) https://hcanm.shinyapps.io/EmployeeAttritionAnalysis/
Web Application
MyMovieBase: creating custom watch lists (Python, Flask, MySQL, HTML)