I'm an aspiring Data Scientist with more than 2 years of professional experience in analyzing data. During my career I've been using Excel and SQL on a daily basis and for more than a year I've been analysing data using also Python and R, as well as building advanced dashboards using Tableau. I like learning new things, working with data and solving problems. Currently I'm in my last semester of my master degree in Big data and I'm working as a Junior BI Developer at CBRE. Meantime I'm broadening my knowledge about Data Science, reading research papers, participating in Kaggle competitions and writing my master thesis about Deep Learning in Python application on Forex data. Libraries in Python I used include: ⭐ pandas ⭐ numpy ⭐ sklearn ⭐ NLTK ⭐ dash ⭐ matplotlib ⭐ seaborn ⭐ scipy ⭐ SQL database APIs
• building dashboards using Tableau, gathering requirements from clients • developing machine learning algorithms and visualizing results using Python Dash • preparing Tableau and Python trainings for the rest of the team
• extracting and analysing data using Python (Mysql and Salesforce APIs, numpy, pandas lib.) • preparing reports in Salesforce and maintaining dashboards in ELK Kibana • building ML models using R and Python and preparing BPMN process graphs using draw.io
• integration of data from multiple sources (OLAP/SQL pivot tables, SAP environment) • database maintenance (cleaning and transforming data, granting access to users) • developing VBA macros, preparing user-friendly reporting tools
A major with focus on big data analytics, SQL, Python and R usage, cloud computing, machine learning and data science
A major with focus on econometrics, statistics and data analytics
Contact Info
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