I am a mechanical engineer who has switched my career to Data Science. While working, I completed my Master of Business Administration (MBA-English) in 2012. I started my PhD in Business Administration in 2013. Statistics lessons I took during my academic education made me interested in data science. With this passion, I have developed myself as a professional Data Scientist. I can do data related jobs including Data Science, Data Analysis, Machine learning, Data Mining, Data Preprocessing, Data Visualization, Web Scraping. I have solid programming experience in Python and I can build a desktop applications for windows, linux and Mac using PyQt5 package.
Boreas Technology manufactures HVAC and data centers cooling solutions in a total area of
10,000 m².
Km Kayalar Industrial Kitchen is an industrial kitchen manufacturer. It is one of the well-known
companies in its sector in Turkey.
VORNE is a leading company in the window and door systems in Turkey. Vorne was founded in 1985, producing
their products in a facility with an open area of 50000 m2 and closed area of 36000 m2.
Ilyatek, which I set up with a Modig brand high speed CNC Vertical Machine, was a small machine shop
offering 3-axis CNC
machining services.
Modig MD-7200 Precision CNC Vertical Machining Center:
Table Size: 900 x 350 mm
Travel (X, Y, Z): 750 x 400 x 500 mm
Rapid Movement Speeds (X / Y / Z): 24 / 24 / 20 m / min
Magazine Number: 24 Pcs.
Spindle: HSK 63A taper
Spindle Speed: 24,000 Rpm
Control Unit: Heidenhain TNC 426 M
SAMET A.Ş. is a leading company in the furniture accessories industry in Turkey. It has more than 1,150
employees. Samet carries out its production activities in a total area of 80.500 m², 32.000 m² of which is
closed.
Opsan is an automotive supplier industry company and is a leader in its field. Opsan produces original
sheet metal parts and welded assemblies for the automotive industry.
Turan Ambalaj produces plastic ayran, yoghurt, juice, margarine and detergent containers and lids using
the thermoforming technologies. Raw materials are ABS, PS, PP and PVC.
This data set contains details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or not.
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At EMP we deal daily with a great amount of data from different sources, produced by the customer journey. In this challenge, we will focus on the sales data, produced by customers visiting and purchasing items from our web shop (emp.de in Germany).
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Since real predictive maintenance datasets are generally difficult to obtain and in particular difficult to publish, we present and provide a synthetic dataset that reflects real predictive maintenance encountered in industry to the best of our knowledge.
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The purpose of the study is to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
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The purpose of the study is to predict of annual salaries ($) of professional software developers who know Python. Data from the Developer Survey conducted by Stack Overflow in 2020 and attended by 65,000 people were used in this analysis.
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With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, the goal is to predict the sales price of each home.
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The information gathered is from the DAEWOO Steel Co. Ltd in Gwangyang, South Korea. The information on energy consumption of the industry is stored on the website of the Korea Electric Power Corporation (pccs.kepco.go.kr), and the perspectives on daily, monthly, and annual data are calculated and shown.
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This data set contains details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or not.
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An individual’s annual income results from various factors. Intuitively, it is influenced by the individual’s education level, age, gender, occupation, and etc. We can explore the possibility in predicting income level based on the individual’s personal information.
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Find the best strategies to improve for the next marketing campaign. How can the financial institution have a greater effectiveness for future marketing campaigns? In order to answer this, we have to analyze the last marketing campaign the bank performed and identify the patterns that will help us find conclusions in order to develop future strategies.
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This data set contains details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or not.
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Rock Paper Scissors contains images from various hands, from different races, ages, and genders, posed into Rock / Paper or Scissors and labeled as such. Pictures use a plain white background. Each image is 300×300 pixels in 24-bit color.
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This data set contains details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or not.
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The purpose of the study is to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
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GoogleMapsSearch is an desktop application that extracts company information from Google Maps.
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Big Time Open Market is a website, where you can trade Big Time NFTs with other players. Extract serial numbers and prices from https://nft.bigtime.gg/explore
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Pancel is a Python-based desktop application to be used for data preprocessing in Machine Learning. It is named Pancel because it mainly uses the Pandas Library. But not just Pandas, and also Plotly for data visualization.
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GoogleMapsSearch is an desktop application that extracts company information from Google Maps.
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SMART BOX Slide components move simultaneously, which results in improved drawer functionality where smooth and silent openin-closing movement is guaranteed. Due to developed by latest technology synchronization system, the drawer exceeds all the quality requirements set by furniture designers.
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Smart Slide Drawer Systems, produced due to SAMET's experience in developing innovative products and its cutting-edge technologies, provide furniture with extra movement, which is the most significant factor in modern living spaces. The state-of-the-art technology used in Smart Slide Drawer Systems adds elegance to opening and closing drawer features.
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The ALPHABOX new generation drawer system; with minimal design and perfect functional attributes, provides solutions needed for creative furniture industries. While creating a flawless use with its soft-close, push-open and push-open soft close functions, Alphbox provides great convenience with its ease of assembly and installation.
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VORNE Lift-Slide System provides a wide viewing angle in places with balconies, gardens, terraces, or patios, allowing light to enter the environment better and creating brighter spaces. Designed to bring interior design to a new and spacious look, the Lift-Slide System saves maximum space in living spaces.
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Application No: 2011/08160
Espacenet link: WIPO - WO2013025181 (A3)
Music: Onur Karagüler
Music: Onur Karagüler
Music: Onur Karagüler
Music: Onur Karagüler
Music: Onur Karagüler
Cover: Onur Karagüler
Cover: Onur Karagüler