Company Info for exponentia.ai | IcebreakerMembers
As a Data Science Enthusiast, I've studied the methodological and mathematical foundations of data science and machine learning, as well as practical, hands-on skills. Classwork ranged from in-class projects and Kaggle competitions to personal projects focused on real-world applications of data science principles and best practices.
Attended a full-time 14-week immersive course on Data Science topics.
Learned Python libraries sklearn, pandas, pyspark, BeautifulSoup, scrapy, seaborn matplotlib, requests, json
Developed expertise in predictive modeling, supervised and unsupervised machine learning, natural language processing, data visualization, and web scraping.
Data Engineer adept at ETL, ELT, AWS, DBT, Airflow, Pentaho, Talend, Alteryx and visualisation tools such as Tableau and Power BI. Successfully built data warehouses from scratch, using Star Schema, Snowflake Schema, and Dimensional Data Models. Proven success in data migration, optimising data pipelines, automating workflows, and delivering impactful insights. Collaborative problem-solver with a knack for translating data into actionable strategies.
I have a proven track record of enhancing data accuracy, improving process efficiency, and delivering actionable insights for business decision-making. In previous roles, I have successfully collaborated with cross-functional teams, led the migration of legacy data systems, and implemented innovative solutions that resulted in significant performance improvements and cost savings. 
