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IdentityAs a Data Scientist with expertise in Exploratory Data Analysis (EDA) and Data Cleaning, I have worked with many clients and datasets to uncover critical insights and drive informed decision-making. With experience in R and Python, I am comfortable working with large and complex datasets and deeply understand statistical analysis and machine learning techniques.
Skills:
Data cleaning and preprocessing: I have experience cleaning and preprocessing data, including handling missing values, data transformation, and data normalization.
Exploratory Data Analysis (EDA): I am an expert in conducting EDA on complex datasets and have extensive experience in data visualization and statistical analysis.
Statistical modelling and machine learning: I have experience in building predictive models and conducting regression analysis, as well as experience in unsupervised and supervised machine learning algorithms.
Data visualization: I have experience creating interactive dashboards and visualizations to communicate insights effectively to stakeholders.
Technical proficiency: I am proficient in R and Python and have experience with various tools and frameworks, including Pandas, NumPy, Scikit-Learn, ggplot2, and Shiny.
Experience:
We conducted EDA on a large customer dataset for a retail client, resulting in insights that drove targeted marketing campaigns and increased customer engagement.
I have worked with a financial services client to preprocess and clean a large dataset of transaction data, resulting in more accurate and reliable data for analysis.
I built a predictive model using machine learning techniques to forecast sales for a manufacturing client, resulting in more accurate demand planning and inventory management.
We have developed a dashboard to visualize customer satisfaction metrics for a service industry client, resulting in more informed decision-making and improved customer satisfaction.
Please don't hesitate to reach out if you have any questions or want to discuss your project.
