Nabeel khan

Utilized Microsoft Excel to generate reports and graphs based on complex datasets.
•
Worked on data from Amazon, Flipkart, JIO and TVF OTT web series.
•
Utilized PowerBi for business intelligence, extracting insights and data visualization.
•
Identified, analyzed, and interpreted trends or patterns in complex data sets using MySQL and Python.
•
Evaluated financial performance, providing strategic recommendations for investments, acquisitions, and other business opportunities.
•
Created MySQL queries to extract data from multiple sources for reporting purposes.
•
Implemented visualizations and dashboards to help senior management make informed decisions.
•
Evaluated large datasets to identify trends and develop actionable insights.
•
Generated standard and custom reports to summarize business, financial, and economic data.
•
Provided technical support for existing reports, dashboards, and other tools.

Utilized Microsoft Excel to generate reports and graphs based on complex datasets.
Worked on data from Amazon, Flipkart, JIO and TVF OTT web series.
Utilized PowerBi for business intelligence, extracting insights and data visualization.
Identified, analyzed, and interpreted trends or patterns in complex data sets using MySQL and Python.
Evaluated financial performance, providing strategic recommendations for investments, acquisitions, and other business opportunities.
Created MySQL queries to extract data from multiple sources for reporting purposes.
Implemented visualizations and dashboards to help senior management make informed decisions.
Evaluated large datasets to identify trends and develop actionable insights.
Generated standard and custom reports to summarize business, financial, and economic data.
Provided technical support for existing reports, dashboards, and other tools.

Used Business Intelligence software like PowerBi and Tableau, to create informative and visually compelling data reports and dashboards.
Successfully identified, analyzed, and interpreted trends and patterns within intricate data sets.
Used Python and different library to find important patterns and trends in big sets of data, and then used that information for recommendation to organization.
Developed and maintained databases for data analysis using MySQL.
Developed predictive models utilizing machine learning algorithms.
Demonstrated proficiency in statistical programming languages such as R and Python.
Created data visualizations to identify trends in large datasets.
Identified, analyzed and interpreted trends or patterns in complex data sets.
Applied statistical methods and machine learning algorithms to develop predictive models.
Analyzed and interpreted financial data and compiled statistic reports on current financial development plans.

Worked on Company Sales and Finance Data.
Leveraged PowerBi for business intelligence, effectively extracting insights and visualizing data.
Employed MySQL and Python to extract, analyze, and interpret trends within intricate datasets.
Assessed financial performance of current project for determining the variance in the transaction.
Formulated MySQL queries to procure data from diverse origins for reporting objectives.
Devised visualizations and dashboards aiding senior management in decision-making processes.
Produced both standard and tailored reports summarizing business, financial, and sales data.
Offered technical assistance for existing reports, dashboards, and other analytical tools.