About Me

I have experience in all the phases of the Data Science process, such as:

I have skills in Python and its libraries, such as NumPy, Matplotlib, Scrapy, TensorFlow, Pandas, SciKit-learn, Pycaret, PyTorch, BeautifulSoup, and SciPy.
I have skills in R and its libraries, such as dplyr, tidyverse, ggplot2, caret, random forest,shiny, lubridate, stringr, RMarkdown, and data.table.
I have skills in SQL, NoSQL, and Graph databases.
I have skills in Machine Learning projects that include Supervised Learning and Unsupervised Learning

I have skills in Behavioral Data Science, such as LCA (Latent Class Analysis), FA (Factor Analysis), and Sentiment Analysis.
I have skills in Data Visualization projects in Tableau, Shiny App, Social Network data Visualization, and Spatial data Visualization.
I follow Ethical guidelines at different phases of the Data Science process.
I have skills in Data Engineering projects using Data bricks, Spark, AWS, Python etc.
I have skills in MLOps.
I have skills in Data Storytelling techniques.
I have skills in Linear Models, such as Simple Linear Regression, Multiple Linear Regression, Multicollinearity, Model Selection, Model Diagnostics, Transformers, Ridge Regression, and The Lasso.
I have skills in Descriptive Statistics, Probability Theories, Discrete Random Variables, Continuous Random Variables, Joint Probability Distributions: Covariance, Correlation, Transformation, Random Samples, Hypothesis Testing Based on a Single Sample, Inferences of Population Means Based on Two Samples, Inferences of Population Proportions and Variances Based on Two Samples, Goodness-of-Fit Tests and Categorical Data Analysis.
I have skills in Simulation and Bootstrapping Experiments.

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