I suggest 3 years of professional experience in Data Science, 3 years experience in Python programming and Data Visualization, 2 years of experience in Machine Learning and Artificial Intelligence. Currently I am taking a role of Data Scientist in United Kingdom Real Estate company that managing investment across the Europe. One of the most impressive project made from scratch is a Machine Learning system based on XgBoost Classification Algorithm to identify new potential asset for profitable long-term investments.
I have built more than 20 very different web scrappers for Zoopla, Rightmove, Booking.com and many more websites. Data mining and construct databases are my daily tasks.
Always keeping on trying new techniques on trend. One of the most impressive project and waiting for challenging ideas to bring to the real world!
numpy, pandas, scikitlearn, matplotlib, seaborn, selenium, beautifulsoup
Being as Data Analyst in Ekistics Property Advisors LLP I perform deep Statistical Analysis, Exploratory Data Analysis (EDA) on Real Estate market. In addition to that I build data automation systems with Python for Data analysis. Machine Learning is a part of my role. In this field I build ML for classify real estate object for purposes of new investments, build ML prediction modules to predict price changes in different market of real estate in different Europe countries. Random Forest and XgBoost returned the best results so far for this. Web Scraping with Selenium and BeautifulSoup is almost daily routine in this position. Data visualization & Reporting by Python (Matplotlib + Seaborn) and Power BI is the funniest part of this role.
• Exploratory data analysis (EDA) for real estate markets.
• Building-up Machine Learning (ML) models for real estate.
• Processes automation.
• Data mining, scrapping and gathering and data structuring.
• Providing insights and guidelines.
• Building-up Bussiness Intelligent (BI) systems.
• Python programming.
• SQL queries.
Apache, Artificial Intelligence, Big Data, Data Science, Keras, Machine Learning, MySQL, NumPy, Pandas, PostgreSQL, SQL, SQLAlchemy, SciPy, Selenium, Spark, TensorFlow, Visualization