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Hi 👋 my name is Aysenur

🌱 I am currently working at Ford Otosan where is the leader of Turkey's automotive industry company as a senior data analyst & engineer.

⚡ I am passionate about data

📝 I am aiming to read one article about per week starting from 2024 Jan

Skills


📚Data Warehouse concepts

🔍Performance tuning of Stored procedures

📌Oracle 12c ^ PL/SQL

📌SAP Power Designer

📌SAP Information Design Tool

⏰Atomic for scheduling of SP's

📌Languages: Python, JAVA, C#, C, R

🃏Data Extraction -> Cleaning -> Transformation

🎨Data Visualization w/ Tableau, QlikSense

🎨Data Visualization w/ matplotlib, seaborn, ggplot

👩🏻‍🔬Exploratory Data Analysis

📐Machine Learning Algorithms: tree-based, distance-based

🎯Artificial Neural Nets

📜Agile Methodologies: Scrum, Kanban, XP, Lean, Scrumban

🎯Data Governance

Fun Fact ☕📖


If I have a good book and a good cup of coffee with me, then nothing makes me bored.

Maybe, that's why I had been aspired to be an author when I was little :)

Other than Work


🏐I'm a professional volleyball player since the primary school years.

🎼Also, I'm an fancier to play violin in western style(it's 1000 times harder than the guitar :)

🎭In all of my school years, I had been involved in a theatre team.

Aysenur's Projects

driver_drowsiness_detection icon driver_drowsiness_detection

Driver drowsiness is one of the causes of traffic accidents. According to the statistics; highway road crashes hold 11.09% of the total number of accidents. There are several reasons of drowsy driving such as: a lack of quality of sleep, may be overnight driving or having sleep disorders e.g. sleep apnea. However; all people should know that: People can not fight against to sleep. Using Image Processing and both classical and new-brand Machine Learning techniques, we are trying to know beforehand the driver's drowsiness and warning him/her with an alert before any crash happened.

flu-shot-learning-predict-h1n1-and-seasonal-flu-vaccines icon flu-shot-learning-predict-h1n1-and-seasonal-flu-vaccines

The goal is to predict how likely individuals are to receive their H1N1 and seasonal flu vaccines. Specifically, you'll be predicting two probabilities: one for h1n1_vaccine and one for seasonal_vaccine. Each row in the dataset represents one person who responded to the National 2009 H1N1 Flu Survey. For details please visit the link: https://www.drivendata.org/competitions/66/flu-shot-learning/page/211/

hr_analytics_ml icon hr_analytics_ml

ML models for HR classification problem. For more information please visit the link: https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/

text_classification_ml-dl icon text_classification_ml-dl

This is an end-to-end ML project based on text classification. We have created a real-time web application that takes input text from the user and predicts its diagnosis out of 10 predefined labels. To see project, please visit the link: https://conditionpredictor.herokuapp.com/

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