•Spearheaded an advanced data analytics initiative, utilizing Pandas and NumPy within the Python ecosystem for comprehensive exploratory data analysis (EDA). This involved meticulous data cleaning, ensuring adherence to best practices for structured and unstructured data.
• Engineered a sophisticated store segmentation strategy based on campaign levels, showcasing a deep understanding of both upper and lower funnel campaigns. Leveraged machine learning algorithms for predictive modeling, optimizing campaign targeting and maximizing ROI.
• Implemented statistical hypothesis testing during analysis, employing techniques such as A/B testing to validate the significance of observed trends. This rigorous statistical approach ensured the robustness of insights derived from the data.
• Unveiled the success metrics of "Focus Stores," revealing an impressive 32% average uptick in store visitors compared to NonStores. Employed data visualization tools like Matplotlib and Seaborn to craft compelling visual narratives for effective communication of complex findings.
• Navigated the intricacies of Focus Cities, effectively managing the interplay between upper and lower funnel campaigns. Applied natural language processing (NLP) techniques for sentiment analysis on social media data, enriching insights into the effectiveness of city-level campaigns.
• Communicated compelling insights to stakeholders and the client through a dynamic Power BI dashboard, showcasing proficiency in data visualization tools. Utilized Tableau for supplementary visualizations, ensuring a comprehensive and visually appealing representation of data.
• Emphasized the transformative impact of targeted campaigning on footfall, highlighting a strategic understanding of project implementation for precise analysis. Demonstrated proficiency in agile methodologies, ensuring adaptability to evolving project requirements.
• Quantified campaign results using key performance indicators (KPIs), presenting a unique blend of data analytics proficiency and strategic communication. Contributed to the development of machine learning models for predicting future footfall trends, optimizing decision-making processes.