Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 3

Built machine learning models to recommend products on an e-commerce
application.
 Built models for time series forecasting with machine learning for
predicting business sales.
 Provided high-quality finished dashboards and reports with Tableau and
PowerBI.
 Provided technical expertise in data storage structures, data mining, and
data cleansing.
 Implemented data workflow and pipeline using Apache Airflow.
 Implemented data warehousing using Bigquery for Big Data.
 Provided easy reporting/analytics and dashboard building with Bigquery
and Data Studio.
Having been trained and worked in different capacities within the data space, I have gained a  lot of  experiences in a very short time. Started at core as a data analyst and built on these skills to become a well rounded data scientist. 
I have quite a few cloud certifications and would probably add more. I love to validate my experience with certifications, some of which include the AWS Certified Cloud Practitioner, AWS Certified Machine Learning Specialty, Azure Fundamentals and Azure Data Fundamentals, Google Data Analytics Professional Certificate and more. I have an insatiable hunger for knowledge,  so I love to learn . I have a great work ethic, cause I derive great joy in solving business problems with my skills and knowledge. I am interested in all things data , I take ownership of projects , so you can be assured I am willing to grow as projects grow and increase. Having wide experience in different fields, I can work as a Data analyst , Data Scientist or  a Data  Engineer, or a combination as I currently do. 

Here are a few of my past projects that fit :
 Metrics revalidation for business operations.
 Wrote advance SQL and Python scripts providing effective performance metrics for business operations and visualising in  real time.
 Implemented data workflow and pipeline using Apache Airflow.
 Implemented data warehouse for easy reporting/analytics and dashboard
Building.
 Built an interactive dashboard on google data studio for real time data
monitoring.
 Created a mobile app prototype designed for brand analytics.
 Performed brand analytics and social media listening for clients.
 Utilised Spreadsheet, SQL and other statistical software to track and
analyse data, optimised data collection procedures and generated reports.
 Used statistical techniques for hypothesis testing to validate data and
interpretations.
 Presented data and conclusions to management in order to improve
strategies and operations.
 I Analysed data and reported hidden patterns and valuable insights.
 Created models needed for various projects. 

Some elements of my training which are relevant in the data science space include the ability to work on projects involving: Microsoft Excel , SQL, NoSQL,
Python, R, Microsoft SQL Server, MongoDB, Apache Airflow, BigQuery,
Pyspark, Tableau, Power Bi, Azure, GCP , AWS , Apache Hadoop , Database
Management Systems, Descriptive and Inferential Statistics, Data
Visualisation and Storytelling.
Effective communications, good project break down and great team spirit.