Toluwase Babalola

As a data science professional with over 3 years experience in data entry, I have strong skills in Python, JSON, and SQL. I have worked on various data projects that involved data extraction, cleaning, and visualization using Python. My expertise in Python includes NumPy, Pandas, Matplotlib, and Seaborn for data analysis and data visualization. I have also used Python to build machine learning models using scikit-learn, Keras, and TensorFlow. In addition, I have experience in working with JSON data formats and have used various libraries such as json and requests to extract data from various sources.

My proficiency in SQL has allowed me to manage large datasets, perform data manipulation and analysis, and create complex queries. I am well-versed in writing SQL queries to retrieve, filter, and aggregate data from databases, as well as joining tables and subqueries.

Furthermore, I have experience in data entry, data cleaning, and data validation. I have worked with large datasets in various formats, including CSV, TSV, and Excel, and have developed techniques to clean and preprocess the data to ensure its accuracy and consistency. I have also used various data entry tools such as Formstack and Google Forms to create forms and surveys, and entered the collected data into databases using SQL and Python.

In summary, my experience and skills in Python, JSON, and SQL, combined with my proficiency in data entry, make me a strong candidate for this remote data science and data entry role. I am excited about the opportunity to contribute my skills to your team and am eager to discuss how I can add value to your organization.