نبذة عني
Experienced Data Analyst and Python Developer with over 1.5 year of expertise in creating efficient and scalable applications and conducting data analytics. Committed to delivering high-quality code and improving software …
Experienced Data Analyst and Python Developer with over 1.5 year of expertise in creating efficient and scalable applications and conducting data analytics. Committed to delivering high-quality code and improving software development processes. Seeking a challenging position to contribute to the success of a dynamic organization.
الخبرة
Python Developer
Leveraged Python to develop robust server-side solutions, optimizing application performance and scalability, resulting in fast
paced development and deployment processes also applied AI/ML algorithms for desired outcomes.
Utilized python libraries for data extraction from primary and secondary storage, load and transform that data.
Monitored data quality and removed corrupt data.Developed and maintained databases, reorganizing data in a readable format.
Collaborated with customers to understand their business needs, providing insights, and recommendations.
Used data mining to extract information from database and identify correlations and patterns and apply modelling
techniques.Prepared reports for decision making and presented these to management or clients.
Used statistical tools to identify, analyze Pattern Recognition and trends in complex data sets for data solutions.
Prepared final analysis reports for stakeholders, enabling them to make important decisions based on various facts and trends.
Managed AWS resources, including S3 buckets and CodeCommit repositories for version control, cloud infrastructure development
processes.Ensured analytical and automated/orchestrated solutions aligned with business requirements
Demonstrated expertise in Git for version control and orchestrated server deployments efficiently, ensuring secure code changes.
Utilized Python's Plotly library, Power BI, advance Excel, SAS and statistical concepts for effective and easy to understand data
communication and visualization.
Python Developer
Leveraged Python to develop robust server-side solutions, optimizing application performance and scalability, resulting in fast paced development and deployment processes also applied AI/ML algorithms for desired outcomes.
Utilized python libraries for data extraction from primary and secondary storage, load and transform that data.
Monitored data quality and removed corrupt data.
Developed and maintained databases, reorganizing data in a readable format.
Collaborated with customers to understand their business needs, providing insights, and recommendations.
Used data mining to extract information from database and identify correlations and patterns and apply modelling techniques.
Prepared reports for decision making and presented these to management or clients.
Used statistical tools to identify, analyze Pattern Recognition and trends in complex data sets for data solutions.
Prepared final analysis reports for stakeholders, enabling them to make important decisions based on various facts and trends.
Managed AWS resources, including S3 buckets and CodeCommit repositories for version control, cloud infrastructure development processes.
Ensured analytical and automated/orchestrated solutions aligned with business requirements
Demonstrated expertise in Git for version control and orchestrated server deployments efficiently, ensuring secure code changes.
Utilized Python's Plotly library, Power BI, advance Excel, SAS and statistical concepts for effective and easy to understand data communication and visualization.
Analyst
Perform statistical analysis on company data using R-Studio, Python, and Excel.
Utilize statistical software for data visualization to derive meaningful insights.
Assess and ensure the quality of data through rigorous data checking procedures.
Solve statistical questions posted on company portals using analytical tools.
Effectively communicate results and insights derived from data analysis.
Contribute to the enhancement of data quality and analytical processes.