Shivani Mudgal

Strategic Data Leadership: Designed and executed data strategies for campaign management and loyalty programs for grocery and non-food clients, including AI-powered Next Best Action strategies, driving a ~18% increase in retailer revenue and customer satisfaction.

Advanced Analytics for Business Impact: Spearheaded data science initiatives such as baseline sales forecasting, channel affinity modeling, customer uplift analysis, and loyalty program design and assessment. These efforts led to the renewal of five major retailer clients and the acquisition of a new non-food client.

Cross-Functional Team Leadership: Managed a team of 16 data scientists across six U.S. And U.K. client accounts, delivering innovative, data-driven solutions and optimization models, resulting in a 15% increase in team efficiency.

Stakeholder Collaboration: Collaborated closely with clients to understand core business challenges, leveraging data analytics to provide actionable insights and strategic recommendations, achieving a 20% year-over-year increase in customer engagement and sales.

Impact Measurement: Defined KPIs and metrics to evaluate campaign performance and the effectiveness of machine learning models, enabling continuous tracking of project outcomes and guiding future strategic decisions.

Product Strategy: Led fintech app development, from gathering requirements to defining product vision, in collaboration with engineering, sales, marketing, support, and third-party partners.

Acquisition & Engagement: Developed tailored strategies for customer clusters on a new payment platform, boosting targeted outreach.

Customer Analytics: Used machine learning to calculate loyalty program members' lifetime value, informing engagement strategies

Revenue Forecasting: Projected 5-year breakage revenue to provide finance with portfolio health insights.

Key Achievements:

• Reactivated ~30% of dormant customers, increasing engaged members by 35%.
• Achieved 20% monthly revenue growth through data-driven campaigns.

Automated News Mining Tool: Developed a cloud-based tool with interactive visualizations and NLP to analyze millions of articles on mega infrastructure projects using advanced NLP and machine learning.

Social Media Management Tool: Created a tool to summarize and highlight trending company news across Facebook, Glassdoor, LinkedIn, and Twitter.

Drug Discovery & Tumor Growth Prediction: Predicted post-treatment tumor growth in breast cancer patients using advanced machine learning and HMM.

Marketing Mix Optimization: Applied marketing mix modeling to optimize promotional spending and maximize ROI, offering insights from historical data.

Digital Image Processing: Developed a retinal image classification solution and a novel tool for individual recognition from photos using Latent Semantic Indexing.

Statistical Modeling: Built statistical models using regression, time series forecasting, machine learning, and market basket analysis for market data analysis.