Hi, I'm Mohamad Parichehreh.
A(n)
Science-fascinated, self-driven, passionate Data Scientist with a curious mind who enjoys solving complex and challenging real-world problems.
About
As an aspiring Data Scientist at Politecnico di Torino, one of Italy's most rapidly expanding AI-centric universities, I bring a level of expertise that is second to none. My exceptional skill set has been honed through years of dedicated study and research. My love for problem-solving and coding has no boundary, and I approach each project with a tenacious drive to deliver excellence. With a proven track record utilizing cutting-edge technologies and operations such as Python, R, C++, Java, SQL, DBMS, and MLOps. I consistently exceed expectations and I'm passionate about leveraging the power of artificial intelligence to tackle complex challenges, and my unwavering commitment to delivering 100% on every project is a testament to my dedication to excellence.
- Languages: Python, R, Java, C++, SQL, JavaScript, HTML/CSS
- NLP: NLTK, Spacy, Gensim, Hugging Face, Stanza
- Databases: MySQL, MongoDB, Microsoft SQL Server, SQLite, Pandas
- Libraries: Sklearn, Keras, Pytorch, PySpark, Tensorflow, Pandas, Numpy
- Visualizations: matplotlib, Plotly, ggplot2, Tableau, Microsoft Power BI, LIME, Streamlit
- Tools and Frameworks: Hadoop, Spark, Azure ML Studio, Linux, Git, Google Earth Engine, Google Street View
- Soft Skills: Teamwork, Leadership, Communication, Work Ethic, Time Management, Creativity
I am seeking a challenging position that will enable me to combine my skills in Data Science and ML Development, while fostering professional growth, engaging experiences, and personal development.
Experience
- Applied machine learning algorithms for sentiment analysis of tweets, utilizing various classification models and feature extraction techniques, particularly highlighting the effectiveness of Logistic Regression with TF-IDF. The study aimed to help businesses analyze user sentiments and make informed decisions based on social media interactions.
- Developed a machine learning model to predict the survival of critically ill patients. The model aims to assist healthcare providers in making informed decisions regarding patient management
- Implemented an efficient method for accurately predicting two-dimensional spatial coordinates (X, Y) of particles based on signal features extracted from detector pads
- Tools: Python, Spacy, Stanza, HuggingFace, Tensorflow, Keras, Teamwork
- Developed and optimized statistical machine learning models to predict future college admissions, using R scripting language.
- supporting and enhancing the technological infrastructure and data management systems critical to the educational sector.
- Tools: R, ggplot2, Data Mining, Data Preprocessing, Data Visualization, Data Management, MySQL
Skills
Languages
Python
R
C++
JAVA
JavaScript
HTML
NLP
NLTK
Spacy
Gensim
Hugging Face
Stanza
TextBlob
Libraries
Tensorflow
Pytorch
Keras
Sklearn
Numpy
Pandas
Tools and Frameworks
Hadoop
Spark
Azure ML Studio
Git
Linux
WordPress
Visualizations
Streamlit
Tableau
Matplotlib
ggplot2
Plotly
Microsoft Power BI
Soft Skills
Communication
Teamwork
Leadership
Work Ethic
Time Management
Education
Polytechnic University of Turin
Turin, Italy
Degree: Master of Science in Data Science and Engineering
University of Science and Technology
Mazandaran, Iran
Degree: Bachelor of Science in Computer Engineering, Software