Quadri Alli
Data Analyst at Epsilon
- Role
- Data Analyst at Epsilon
- Location
- Bronx, NY, US
- LinkedIn followers
- 500 followers
Experience
Data Analyst
Mar 2022 — Present
Conducted comprehensive statistical analysis on extensive customer behaviour datasets, identifying nuanced trends and patterns that significantly bolstered customer retention rates.• Managed data preprocessing and cleansing operations for vast datasets sourced from diverse channels, handling an average of 1.5 TB monthly, ensuring data integrity and reliability.• Proficiently utilized SQL and Python libraries such as Pandas and NumPy for seamless data extraction, transformation, and loading tasks, streamlining data processing workflows and reducing processing time.• Developed dynamic, user-friendly dashboards in Tableau to visualize and interpret key performance metrics, empowering stakeholders with actionable insights for informed decision-making in marketing campaigns.• Led A/B testing initiatives on email marketing campaigns, orchestrating iterative improvements that notably enhanced click-through rates and campaign effectiveness. • Executed advanced time series analysis on sales data, generating accurate forecasts that optimized inventory management strategies and mitigated stockouts, thereby improving operational efficiency.• Collaborated closely with cross-functional teams on machine learning projects, leveraging tools like Scikit-learn and TensorFlow to develop predictive models with heightened accuracy, contributing to enhanced business outcomes.• Created and automated weekly reporting processes using Jupyter Notebooks, significantly reducing manual effort and saving valuable time for in-depth analysis and strategic planning.• Orchestrated data warehousing operations on Snowflake, optimizing storage architecture and query performance to drive cost efficiencies and enhance overall data accessibility and usability.• Implemented Git for version control, ensuring robust data integrity and facilitating seamless collaboration among team members on code development and project iterations.
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