Data Scientist
Resume:
Ahmed Hatahet
Self-taught machine learning practitioner seeking opportunities in machine
learning and data science
Los Angeles, CA 90012
adchmh@r.postjobfree.com
linkedin.com/in/ahatahet
github.com/hatahet91
EXPERIENCE
Self-Teaching
JAN 2019 - Present
Gaining a comprehensive understanding and hands-on experience in machine learning, modeling, statistical analysis, deep learning and optimization through self practice, MOOC courses and theory books Projects:
Fraud Detection using Deep Learning
● Built classifier to predict fraudulent bank transactions with a high predictive power using deep learning techniques with Keras
(github.com/hatahet91/case_study/blob/master/fraud_detection.ipynb) Cancerous Cell Type Prediction with SVM
● Predicted cancerous cells types (benign/malignant) using SVM classifier based on image features with 98% predictive power
(github.com/hatahet91/case_study/blob/master/breast_cancer_casestudy.ipynb) Sentiment Analysis with Random Forests
● Built ML model to derive sentiment of customer interests and preferences based on text reviews resulting in a model with 93% accuracy model
(github.com/hatahet91/case_study/blob/master/Alexa_reviews_case_study.ipynb) Freelance Filmmaker
JUL 2016 - Present
Working in the entertainment industry as a freelance filmmaker
● User/viewer experience driven approach
● Cooperative and adaptable teamwork skills
● Creative and out-of-the-box problem solving skills EDUCATION
University of Wisconsin: La Crosse, M.S. in Data Science JAN 2020 - Present (online)
San Francisco State University, B.A. in Film Production FEB 2014 - JUN 2016
SKILLS
Languages: Python, C++,
SQL, Java, Bash
Software:Jupyter, PyCharm,
Eclipse, Sublime, Tableau
Libraries: Numpy, Pandas,
SKlearn, OpenCV, Matplot,
Keras, TensorFlow
- Modeling
- Statistical analysis
- Data preprocessing
- Deep learning
- Image classification
- Model optimization
- Sentiment analysis
- Probability theory
- Linear algebra
CERTIFICATION
Dataquest:Data Science Path
JAN 2020 - Learned how to
properly manipulate and
analyze data, making
predictions using ML models
and how to utilize DS tools
such as Python and SQL
Coursera:SQL for Data
Science, Mathematics for ML:
Linear Algebra,MV Calculus
Udemy:Data Structures &
Algorithms w/ Python, ML
Classification Algorithms
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