Data Science, Data Modelling, Machine Learning, Artificial Intelligence, Dashboarding, Python, Simulation, Process Optimization, Automation, Student Homework.
With over five years of experience working in global organizations, I have developed a deep understanding of how data science, Python, and modeling can be used to solve complex business problems across a range of industries. My service offering can be summarized as follows:
Data Cleaning and Preparation: I can help employers collect, clean, and prepare data for analysis, ensuring that the data is accurate, consistent, and in the right format. This can involve data wrangling, handling missing values, dealing with outliers, and structuring data for analysis.
Exploratory Data Analysis (EDA): I can help employers understand the data they have by performing EDA, which involves using visualizations and descriptive statistics to identify patterns, trends, and insights.
Statistical Analysis: I can apply statistical models and techniques to help employers identify relationships between variables, make predictions, and test hypotheses. This can include regression analysis, clustering, time series analysis, and hypothesis testing.
Machine Learning: I can develop predictive models to help employers make predictions, classify data, and automate processes. This can involve using algorithms such as decision trees, random forests, neural networks, and support vector machines.
Data Visualization: I can help employers present data and insights in a meaningful and accessible way by creating interactive visualizations and dashboards using tools such as Tableau, Power BI, and Python libraries such as matplotlib and seaborn.
Consulting and Strategy: I can help employers develop a data-driven strategy by providing guidance on how to use data to achieve business goals, identifying key performance indicators (KPIs), and developing metrics to measure success.
Overall, my expertise in data science, Python, and modeling allows me to provide a wide range of services to employers, from data cleaning and preparation to statistical analysis, machine learning, and data visualization. With my skills and experience, I can help employers gain valuable insights and make data-driven decisions.