Data scientist with 3+ years of experience in analyzing complex data sets, building predictive models, and delivering data-driven insights to stakeholders. Skilled in delivering data-driven insights, leading teams, and c…
Data scientist with 3+ years of experience in analyzing complex data sets, building predictive models, and delivering data-driven insights to stakeholders. Skilled in delivering data-driven insights, leading teams, and collaborating effectively with stakeholders. Exceptional problem-solving and data-driven decision-making skills, coupled with meticulous attention to detail. Eager to apply expertise and industry knowledge to make a meaningful impact.
Project name - Trade Promotion Optimization
• Working in CPG-related project. Engaging with Fortune 500 client.
• The current market status has been monitored in real-time manner by Exploratory Data Analysis and ML model (Time series
forecast) was implemented for the enhancement of business value using R language.
• Got a good amount of exposure in Azure Data-bricks by taking the responsibility of Automation of existing Model codes.
• Migrated the project code base in Azure Data bricks with the integration of Azure Data lake to create a pipeline in Azure data
factory, for automation purposes. Collaborated closely with the Platform team to identify, prioritize, and groom new features,
ensuring continuous product enhancement and alignment with customer needs.
• Developed a Statistical scoring model to enable real-time tracking of market performance, constructed based on model
performance metrics.
• The Competitor modeling was done to detect the pattern of competitor product promotion using Bayesian optimization, so
that the client can leverage on top of their competitor.
Worked on the Trade Promotion Optimization project.
Worked in a CPG-related project.
Engaged with a Fortune 500 client.
Monitored the current market status in real time through exploratory data analysis.
Implemented an ML model for time series forecasting to enhance business value using R language.
Gained exposure in Azure Databricks by taking responsibility for automation of existing model code.
Migrated the project code base in Azure Databricks with integration of Azure Data Lake to create a pipeline in Azure Data Factory for automation purposes.
Collaborated closely with the Platform team to identify, prioritize, and groom new features, ensuring continuous product enhancement and alignment with customer needs.
Developed a statistical scoring model to enable real-time tracking of market performance, constructed based on model performance metrics.
Developed competitor modeling to detect patterns of competitor product promotion using Bayesian optimization, enabling the client to leverage insights on competitors.
Worked on the UBQ optimization project.
Extracted data from the company database using SQL for analysis and reporting purposes.
Utilized Power BI as a visualization tool to generate business key performance indicators (KPIs), enabling real-time performance tracking for management.
Prepared daily reports and important deliverables using advanced features in Excel.
Employed Python for statistical tests, such as checking distributions, to support data analysis efforts.
Leveraged Pareto chart analysis, advanced Excel, and Python to optimize UBQ products, resulting in a 5 percent increase in ROI.
Collaborated effectively within the team, sharing valuable insights and developments with stakeholders.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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