Amir Hossein Nasserpour

AMIR HOSSEIN NASSERPOUR INTERN DATA SCIENTIST / ML ENGINEER / DEVELOPER 📞 - ✉️-📍 Tehran, Iran 🐙 github.com/amirtashdid99 PROFILE Results-driven Computer Science graduate student specializing in Machine Learning and Bioinformatics. Skilled in the Python data science stack, with hands-on experience in implementing a variety of ML algorithms and deep learning models. Combine a strong theoretical foundation with practical expertise in data analysis, statistical modeling, and AI applications. Passionate about leveraging machine learning solutions for biological data analysis and addressing real-world challenges. Recognized for strong problem-solving abilities, adaptability, and a commitment to keeping pace with emerging AI technologies. EDUCATION AMIRKABIR UNIVERSITY (Tehran Polytechnic) — Tehran, Iran Master of Science in Computer Science (Expected 2026) Specialization: Bioinformatics & Machine Learning Focus: Computational biology and machine learning applications Research: AI applications in biological data analysis Key Coursework: Advanced Machine Learning, Computational Data Mining, Deep Learning Thesis: Modeling Virus-Host Interactions Using BERT and Deep Embeddings KHARAZMI UNIVERSITY — Tehran, Iran Bachelor of Science in Computer Science Relevant Coursework: Data Structures, Algorithms, Artificial Intelligence, Statistics, Signal Processing TECHNICAL SKILLS MACHINE LEARNING / DATA SCIENCE / AI Python Data Science Stack: Pandas, NumPy, Scikit-learn Advanced Machine Learning: Gradient Descent, XGBoost, Random Forest, KNN Deep Learning: Neural Network Architectures (CNN, RNN, LSTM) Reinforcement Learning: Q-learning, Deep Q-Learning (DQN), Policy Gradients (VPG, TRPO, PPO), DDPG, TD3, Soft Actor-Critic (SAC) Computational Data Mining: Clustering (K-Means, DBSCAN), Association Rule Mining (Apriori), Dimensionality Reduction (PCA, t-SNE), Anomaly Detection Basic Understanding of: Boltzmann Machines, Embeddings Model Optimization & Evaluation Metrics Data Preprocessing & Feature Engineering Statistical Analysis & Hypothesis Testing PROGRAMMING & WEB DEVELOPMENT Python (Advanced) Spring Boot (Java) HTML/CSS/JavaScript, React Object-Oriented & Functional Programming Data Visualization TOOLS & DATABASES Git, Linux PostgreSQL, MySQL CERTIFICATES Machine Learning — Stanford University (Andrew Ng), Coursera (View Certificate) SOFT SKILLS Analytical Thinking Problem Solving Research & Documentation Team Collaboration Technical & Effective Communication Time Management Adaptability LANGUAGES English: Professional Working Proficiency (85%)