Savvy data and business analyst with machine learning, predictive modeling, and strong coding ability in R and Python that has worked in different industries projects. In summary I have:1- Ability to cleaning and processing data with programs such as R and Python2- Familiar with SQL and trying to get better at getting queries3- Familiar with project control software such as MSP for managing the workloads4- Detecting of the most efficient machine learning algorithms and predictive models to apply based on specific problem and availability of data5- Ability of visualizing the data for making business decisions such as correlation matrix6- Experience of applying different machine learning algorithms by real data in 3 different industries, named healthcare, commerce, and manufacturing7- Scholarship from Texas State University for making demand forecasting for the crane business in my master study8- Doctoral Merit Fellowship winner included Dreeben/Gowens/Merrick/Spoonamore for pursuing PhD program from Texas State University9- Focused on independent research and self-improvement by acquiring needed valid certifications from verified sources such as Coursera10 - Positive attitude especially in difficult situations11- Problem-solving ability, self-reliance and cooperative performance at the same time on tackling the problems12- Fast-learner and intuitive person
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Junior Artificial Intelligence AssociateBecomexpert Jul 2024 - Sep 2024Tehran, Tehran Province, IranI was able to learn new skills in AI development and capable of working with machine learning, computer vision, and deep learning. My responsibilities include implementing ML algorithms and participating in data analysis projects.This internship was very useful for me and prepared me for future career in artificial intelligence and related fields. -
Graduate Assistant - Machine Learning And Predictive Models ResearcherTexas State University Jan 2017 - May 2019San Marcos, Texas- Supervised learning such as SVM and Random Forest solutions- Predictive analytics with data driven strategy- Accuracy measurement and criteria- Data cleaning and preparation with R- ggplot, dplyr, caret packages as the most used packages- Matplotlib, Scikit-Learn, Pandas, NumPy in Python- Brainstorming with business analyst and development team of Terex Corporation -
Cooperative Education StudentGenie – A Terex Brand Feb 2018 - Jul 2018- Successfully developed market demand forecasting and cooperated with Genie (Terex Brand) Team in paid Co-Op program - Used linear and nonlinear conventional methods for total market demand forecasting- Supervised machine learning algorithms such as Multiple Linear Regression, Random Forest, and SVM for construction equipment total market demand forecasting- Focused on North America market- Reports and visualization -
Research AssistantSharif University Of Technology Sep 2013 - Aug 2015Tehran Province, Iran- Investigation of Neural Network, Radial SVM, Random Forest algorithms in healthcare- Analyzing livability of diabetes and cancer patients based on risk factors - Determining best risk factors based on PCA- A/B testing- Data collection- Data cleaning
Ali G. Education Details
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Gpa: 3.9/4.0
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Industrial Engineering
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Silver Medalist
Frequently Asked Questions about Ali G.
What is Ali G.'s role at the current company?
Ali G.'s current role is Savvy Data Analyst, Predictive Analytics, ML and Computer Vision Specialist, Deep Learning, AI.
What schools did Ali G. attend?
Ali G. attended Texas State University, Sharif University Of Technology, Young Scholars Club.
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