Organized, communicative and quick-to-learn 'Data Science' graduate experience as a Data Scientist in the digital marketing & healthcare industry. Experienced in mining, interpreting and analyzing data using Python, R, P…
Organized, communicative and quick-to-learn 'Data Science' graduate experience as a Data Scientist in the digital marketing & healthcare industry. Experienced in mining, interpreting and analyzing data using Python, R, Power Bi and many other programs. Passionate about studying how to improve performance and gaining insight with creative innovation and solving complex problems. Seeking to leverage data analytical skills to improve corporate performance as a data scientist.
• Ensuring correct and accurate usage of existing data sources – including design and execution of data pipelines to
support analytics and insight needs.
• Writing SQL queries to analyze large datasets, unravelling patterns and trends that lead to innovative solutions and
untapped opportunities with Python.
• Building and interpreting models, Transforming insights into visual presentations and reports.
• Partner closely with business stakeholders to define and understand data visualization requirements to plan
integration implementation.
• Building and optimizing data models in Power BI to support complex analytical queries and reporting needs.
• Build predictive models and machine-learning algorithms using Python to automate recruitment processes and gain
valuable insights.
• Monitor and analyze digital marketing campaign performance and conduct analytical research for new marketing
strategies.
Ensuring correct and accurate usage of existing data sources, including design and execution of data pipelines to support analytics and insight needs.
Writing SQL queries to analyze large datasets, unraveling patterns and trends that lead to innovative solutions and untapped opportunities with Python.
Building and interpreting models.
Transforming insights into visual presentations and reports.
Partner closely with business stakeholders to define and understand data visualization requirements to plan integration implementation.
Building and optimizing data models in Power BI to support complex analytical queries and reporting needs.
Build predictive models and machine-learning algorithms using Python to automate recruitment processes and gain valuable insights.
Monitor and analyze digital marketing campaign performance and conduct analytical research for new marketing strategies.
Perform laboratory tasks using microbiological and molecular-biological laboratory techniques and analyze the data.
Analyzing genomic DNA data extracted from T. Rathkei (an isopod) to find evidence of any horizontally transferred genes from Wolbachia (bacteria that infects isopods).
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