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Programming & Development Math / Algorithms / Analytics

Data Science / Analysis

$10/hr Starting at $200

I offer to supply the complete data analysis process starting from wrangling and cleaning the data, going through EDA and drawing insights that answers the customers most important questions to benefit their business, and finally preforming inferential and predictive analysis and modeling using high end machine learning and deep learning modeling algorithms.


I am versed in:
1- Object Oriented Programming
2- Design Patterns, Architectures and Restful APIs
3- ETL, Data Analysis, Dashboarding and Reporting
4- Statistics and Probability
5- Hypothesis testing and A/B testing
6- Machine learning algorithms and techniques:
    i-   Regression (Linear and Polynomial)
    ii-  Decision Trees and Random Forest
    iii- SVM
    iv- K-NN
    v-  Apriori
    vi- Model Selection and Feature Engineering
7- Deep learning algorithms and applications:
    i-  Computer Vision (CNN, YOLO, RCNN)
    ii- Natural Language Processing (LSTM, Attention Models)


Languages I used:
    i-   C++
    ii-  Python
    iii- JS
    iv- Java
    v-  SQL

Tools I use:
    i-   Visual Studio and VSCode
    ii-  Microsoft Excel
    iii- Tableu
    iv- Spyder


About

$10/hr Ongoing

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I offer to supply the complete data analysis process starting from wrangling and cleaning the data, going through EDA and drawing insights that answers the customers most important questions to benefit their business, and finally preforming inferential and predictive analysis and modeling using high end machine learning and deep learning modeling algorithms.


I am versed in:
1- Object Oriented Programming
2- Design Patterns, Architectures and Restful APIs
3- ETL, Data Analysis, Dashboarding and Reporting
4- Statistics and Probability
5- Hypothesis testing and A/B testing
6- Machine learning algorithms and techniques:
    i-   Regression (Linear and Polynomial)
    ii-  Decision Trees and Random Forest
    iii- SVM
    iv- K-NN
    v-  Apriori
    vi- Model Selection and Feature Engineering
7- Deep learning algorithms and applications:
    i-  Computer Vision (CNN, YOLO, RCNN)
    ii- Natural Language Processing (LSTM, Attention Models)


Languages I used:
    i-   C++
    ii-  Python
    iii- JS
    iv- Java
    v-  SQL

Tools I use:
    i-   Visual Studio and VSCode
    ii-  Microsoft Excel
    iii- Tableu
    iv- Spyder


Skills & Expertise

AnalyticsData AnalysisData ManagementData ModelingData VisualizationMachine LearningStatistical AnalysisTableau

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