Behrouz Mirabdi

Experience

• 

  National Institute of Genetic Engineering and Biotechnology (NIGEB)

  Mar 2019 - Feb 2020

  Bioinformatician

  • Applied bioinformatics tools (Seurat in R, ScanPy in Python) and algorithms (like t-SNE, UMAP, K-Means) to process, reduce dimension, analyze, and interpret NGS and Single-Cell RNA-Seq data.• Integrated multi-omics data to gain a comprehensive understanding of biological systems and elucidate complex molecular interactions and regulatory networks.• Applied machine learning methods such as HMM, SVM, random forest, and gradient boosting to predict protein structures, functions, and interactions.• Developed mathematical models and simulations to study metabolic fluxes, pathway dynamics, and regulatory mechanisms. Show less

• 

  Behdashtkar | بهداشت کار

  Feb 2021 - Apr 2022

  Medical Representative

  • Established and maintained strong relationships with healthcare professionals, including doctors, pharmacists, and hospital staff, to promote products effectively.• Achieved an 18% increase in sales by delivering engaging product presentations and providing accurate medical information to healthcare providers.• Organized and participated in medical conferences, seminars, and workshops to enhance product awareness and engage with key stakeholders. • Monitored and reported sales performance, feedback, and market conditions to the management using the CRM system. Show less

• 

  IranMedBank

  May 2022 - Dec 2022

  Clinical Data Analyst

  • Led data analysis projects for a hospital and two clinics, extracting insights from EHR and clinicalrecords (14,784 patient records, 78,355 medical histories) using SQL and Python.• Developed machine learning models for predictive analysis, ensuring a 95% stakeholder satisfaction rate.• Produced comprehensive visualizations and reports with Tableau, supporting clinical decision-making.• Experience with real-world data (RWD) and electronic health records (EHR) in a clinical setting. Show less

• 

  Virgobit UG

  Jan 2023 - now

  Data Scientist

  • Worked at an innovative start-up to develop a machine learning algorithm to find hidden patterns associated with EEG.• Applying filters to remove noise and artifacts from EEG signals.• Real-time analysis of EEG signals.• Use deep learning techniques such as CNN, RNN, LSTM, and attention mechanisms for signal analysis.• Advanced understanding, prediction, and manipulation of brain activity.