Data Scientist intern with experience in Python, time series, clustering techniques, Jupyter Notebook, Azure Data Lake, Matplotlib, Seaborn, and EDA. Also working as a Data Analyst with experience in MS SQL Server, Power…
Data Scientist intern with experience in Python, time series, clustering techniques, Jupyter Notebook, Azure Data Lake, Matplotlib, Seaborn, and EDA. Also working as a Data Analyst with experience in MS SQL Server, Power BI, Azure, ETL, data warehousing, and data-driven reporting and analysis.
• Implemented customer segmentation and studied 2+ million user journeys and purchase funnels using interactive dashboards of sales
and impressions. Gained insights for stakeholders to improve marketing strategies and KPIs by 80%.
• Automated QA testing process for business reporting analysis, increasing weekly deliverables by 15%.
• Collaborated on cross-functional teams to ETL data from Azure Data Lake, creating efficient data pipelines for real-time insights
and decision-making, resulting in an 70% operational efficiency boost.
• Mentored peers on data-driven techniques and best practices, leading to a 50% increase in customer expansion.
Implemented customer segmentation and studied 2+ million user journeys and purchase funnels using interactive dashboards of sales and impressions.
Gained insights for stakeholders to improve marketing strategies and KPIs by 80%.
Automated QA testing process for business reporting analysis, increasing weekly deliverables by 15%.
Collaborated on cross-functional teams to ETL data from Azure Data Lake, creating efficient data pipelines for real-time insights and decision-making, resulting in a 70% operational efficiency boost.
Mentored peers on data-driven techniques and best practices, leading to a 50% increase in customer expansion.
Designed interactive visualization dashboards using Tableau and Matplotlib to monitor and optimize customer KPIs, leading to a 26–28% boost in customer engagement.
Conducted inferential statistical analysis and predictive modeling to evaluate campaign and product sales performance, leading to a 5x reduction in operational costs for the business.
Designed and developed a partner-level dashboard that facilitated informed decision-making by senior management regarding the employee promotions with the use of data-driven recommendations, resulting in 20% increase in promotion efficiency.
The AI-first Recruitment Operating System that unifies and automates the entire hiring lifecycle for modern enterprises worldwide.
Dr Job FZ LLC. 2026 © All Rights Reserved
