mtahiraslan,Mehmet Tahir Aslan,mhmthraslan,github

👋🏼 Hi there! I'm Mehmet Tahir, 💻 a data engineer from Turkey.

I'm a professional Data Engineer with over 4 years of experience transforming raw data into meaningful insights. Passionate about solving complex data problems, I have a proven track record of implementing scalable data pipelines and analytics solutions that drive strategic decisions. Here's a bit about what I do and what I love in the realm of data engineering.

- 🛠 Tech Stack

Here are some of the technologies I've worked with:

Programming Languages: Python, SQL
Databases: Oracle, PostgreSQL, Microsoft SQL Server
Cloud Platforms: AWS (Amazon Web Services), GCP (Google Cloud Platform), Azure
Big Data Technologies: Apache Spark, Apache Airflow, Databricks, dbt
Cloud Data Warehousing: Amazon Redshift, Google Big Query
DevOps Tools: Docker
Version Control: Git, Github
Documentation: Confluence
Project Management: Jira
Data Visualization/BI Tools: Microsoft Power BI, Qlik, Tableau

- 💬 Ask me about anything, I am happy to help

- 📫 How to reach me: [email protected]

Technologies & Tools:

Mehmet Tahir Aslan's Projects

8_week_sql_challenge

SQL solutions for #8WeekSQLChallenge questions by Danny Ma

ab_testing_project

Comparison of A/B Test and Conversion of Bidding Methods

armut_arl_recommender_system

An association rule learning-based product recommendation system is desired to be created using the dataset containing users who received services and the categories of services they received.

data-analyst-roadmap

Based on my own experience, I think this roadmap will answer all the questions of how to become a data analyst from zero, which technologies and programming languages are better to know, what kind of soft skills do we need, how do I start my professional career in this field.

flo_cltv_prediction

FLO wants to determine roadmap for sales and marketing activities. In order for the company to make a medium long -term plan, it is necessary to estimate the potential value that existing customers will provide to the company in the future.

flo_rfm_analysis

FLO, which is an online shoe store, wants to divide its customers into segments and determine marketing strategies according to these segments. For this, the behavior of customers will be defined and groups will be formed according to the clutches in these behaviors.

python-api-with-docker-and-postgres

This project integrates real-time cryptocurrency data into a PostgreSQL database using Docker, PostgreSQL, pgAdmin, Python, and CoincapAPI. It streamlines the process of fetching, transforming, and storing market data, offering a portable and easily set-up solution for data analysts and crypto enthusiasts.

rule_based_classification

It is an application that estimates how much a new customer can earn on average and in which segment by applying EDA (Exploratory Data Analysis), segmentation and forecasting methods on persona.csv (customer dataset) using the Streamlit library.

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