I'm an experienced Data Pro, thriving to work at the dynamic environments at the intersection of business and data. I specialize in advanced analytics, but I'm also hands-on with cloud and on-premises data solutions, creating visualizations, and automating routine tasks. I'm curious about NLP, AI, and ML models that bring real-world value 🚀
👨💻 Currently: Looking for new opportunities!
- Data Analytics
- Data Engineering
- Machine Learning
- Cloud Infrastructure (AWS, Azure)
- Python. Essential data toolkit: NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, Seaborn, BeautifulSoup, Selenium, and Scrapy.
- SQL. Proficient in various SQL dialects and adept at handling a wide range of tasks: DML, DDL, DQL.
- BI-tools. Tableau, PowerBI, Looker, Apache Superset, Redash, Metabase, and Grafana.
- ML-models. Regression, Clustering, Decision Trees, Random Forests, SVM, Boosting, NLP
- Big Data. Hadoop, Spark, Hive, Kafka, AWS (EMR, Redshift, Lambda), Azure (HDInsight)