Machine learning engineer

Become.Expert 2024/03-2024/06

• Conducted data cleaning, preparation and feature engineering tasks on a dataset of house features to predict sales prices.
• Conducted classification to identify the survival of individuals in a ship crash.
• Participated in development and implementation of face expression recognition (FER) machine learning models.
• Created and implemented sentiment analysis models on user movie movie reviews.

Rastava Academy 2024/01-2024/03

• Assisted in implementing feature selection algorithms and preprocessing tasks on car and people images.
• Collaborated in developing video face detection models using webcam and Opencv.

• Deep learning Center 2023/09-2023/11
• Developed and implemented a persian sentiment analysis model based on the ParsBERT project.

• Machine learning - Scikit-learn
• Predictive modeling
• Deep learning - Tensorflow
• Data visualization - Matplotlib, Seaborn and Plotly
• Data analysis - Numpy, Scipy and Pandas
• Data cleaning and preparation
• Feature engineering
• Database design - SQL
• Natural Language Processing - NLTK, Gensim and Spacy
• Sensor data segmentation
• Algorithms and Optimization
• Problem solving
• Docker

• Sensor segmentation algorithms
• Pose estimation project
• Food vision
• Face expression
• Webcam face detection
• SkimLit
• Disaster tweets
• Naive bayes
• House price prediction
• BTC prediction
• Titanic
• Deep learning fundamentals projects
• Clustering project

• Certified CS50ai from Harvard university 2024-06
• Data science and SQL certification from Allameh Tabatabaei university 2023
• Tensorflow developer certificate: Zero to mastery from Udemy 2023
• Python for Data Science and Machine Learning certification from Udemy 2023

• Master of Computer science from Amirkabir university 2020-2022
• Bachelor of computer science from Shahrekord university 2016-2020