Zeed Almelhem
Reno/Nevada
email: info@zeed-almelhem.com
Check out my resume to see how I've driven innovation with data. I've built predictive models and analyzed complex datasets, using Python, machine learning, and data visualization to find insights and create solutions.
My Data Science Resume
Below, you'll find a comprehensive overview of my educational background, work experience, skills, and achievements in the field of data science.
Educational Background
2018-2019
Programming Fundamentals and Problem Solving, CS50, Python, Clean Code, Networking in Python, APIs, OOP, SQL
Data Structures and Algorithms, Fundamentals of operating systems, Linux, Cmd, Bash
2019-2020
Coding best practices, software design principles, and testing methodologies.
Databases, XML and JSON, Web Scraping and Crawling, Git, GitHub
2020-2021
Data Mining, Basics of Java, HTML, CSS, JavaScript for Web Development, Automation
Probability and Statistics, Calculus, Linear Algebra, R for Statistical Learning
Data Manipulation and Cleaning (Pandas, NumPy, Data Cleaning, Data Transformation, Data Integration)
2021-2022
Data Visualization (Dash, Matplotlib, Seaborn, Plotly, Data Storytelling)
Statistics and Probability (Descriptive Statistics, Inferential Statistics, Probability Distributions, Hypothesis Testing, A/B Testing)
Data Mining and ETL (Web Scraping, Data Extraction, Data Transformation, Data Loading)
2022-2023
Machine Learning (Supervised Learning, Unsupervised Learning, Classification, Regression, Clustering, Dimensionality Reduction, Model Evaluation and Selection, Hyperparameter Tuning)
Natural Language Processing (NLP) (Tokenization, Text Preprocessing, Word Embeddings, Sentiment Analysis, Named Entity Recognition, Topic Modeling)
Communication and Presentation.
2023-2024
Computer Vision (image processing, object detection, image classification)
Agile methodologies, software testing, debugging
Cloud Computing and Model Deployment, Explainable AI, Geospatial Data Visualization with GIS, Creating Interactive Dashboards, Introduction to Neural Networks and Deep Learning
Experience
Exploration Year
Executed data analysis using advanced techniques, implemented Image processing
In-Depth Year
Leveraged advanced skills through the operating system to extract, transform, and analyze data from log files.
Insights Year
Utilized advanced skills for insights from US Census data, conducted a multidimensional study of U.S. Presidents.
Advanced Year
Engineered sophisticated machine learning models for predictive analytics in hotel reservation cancellations.
Mastery Year
Executed a comprehensive machine learning project encompassing advanced techniques for sentiment analysis and topic modeling on prominent app reviews.
Ongoing
Conducting an extensive study involving advanced analysis on Washington state cars, including electric vehicles, to provide valuable insights for the DMV.
Skills
SQL
R
Data Analysis
Analyzing and Interpreting Data
Exploring Data with EDA
Enhancing Features for Models
Statistical Models and Inference
Testing Hypotheses and A/B Tests
Applying Machine Learning Algorithms
Predicting and Regressing Data
Forecasting Time Series Patterns
Clustering and Reducing Dimensions
Combining Models in Ensembles
Anomaly Detection and Outlier Analysis
Model Evaluation and Selection Methods
Natural Language Processing (NLP) Techniques
Pandas
NumPy
Matplotlib
Seaborn
Plotly
Scikit-learn
Data Visualization and Presentation
NLTK
Git and GitHub
Jupyter Notebook
Python
Web Development for Data Science and ML
Additional Skills
Problem-Solving & Critical Thinking
Collaboration & Communication
Time Managemen
Adaptability
90%
languages
Arabic
Native
English
Native