Hamidreza Nademi

• Designed 5+ Tableau dashboards to provide actionable insights for top-tier managers. • Implemented anomaly detection methods with root cause analysis, reducing manual monitoring by 70%. • Conducted ETL processes, quality checks utilized by Python before crafting Tableau dashboards. • Prepared ad-hoc reports using advanced SQL queries. • Developed semi-supervised BTS sector classification with 92% accuracy. • Established data analysis infrastructure from the ground up using Tableau, MSSQL, and Python.

• Improved Android malware detector rate of Padvish Antivirus to 95%! • Collected a dataset of +1M APK files from different sources using Python • Developed an approach for annotating collected datasets (up to 14K APK files per day!) using Python • Trained and evaluated various Machine Learning classifiers like SVM, XGBoost, and MLP • Developed C++ code to reproduce results of the best-performed classifier in Python • Deployed and merged C++ code into Padvish Antivirus engine.