Provide services in the data analysis , cleaning , visualization , Machine Learning and python scientific programming fields .
some of the servies provided are :
• Cleaning data and formting it in any way desiered (merging , removing duplicate checking for values )
• Data Analyse , Finding Trends , Answering questions and visualisation
• Building Machine Learning algorithm, make predictions and Data clustering and segmentation
Highly skillend in Jupyter Notebook , google colab and
python libraries (Seaborn, Matplotlib, Pandas , Numpy and scikit-learn )
Pharmacist and Medical sales representative so i have good knowledge in medical and sales terms .
If you have any questions please contact me .
Have a good day.
• Use Python and SQL to access and analyze data from several different data sources.
• Build predictive models using a variety of unsupervised and supervised machine learning techniques.
• Perform feature engineering to improve the performance of machine learning models.
• Optimize, tune, and improve algorithms according to specific metrics like accuracy and speed.
• Compare the performances of learned models using suitable metrics.
Data Analysis Advanced
•SQL for Data Analysis
-Write SQL to query multiple tables
-Ask a question that requires data from multiple places, join the data together, and answer the question.
-Apply inferential statistics and probability to real-world scenarios using Python
-Build regression models in Python
-Build visualizations using different design elements
-Use visualizations to explore your data
-Use visualizations to communicate your insights
Data Analysis Professional
• Develop programs in Python
• Manipulate data using NumPy
• Load and process data using Pandas
• Investigate a dataset using Python data analysis packages
• Perform the entire data analysis process on a dataset
• Gather data from multiple sources in a variety of formats
• Assess the quality and tidiness of data visually and programmatically
• Clean data using Python and Pandas