Academic Projects

Evaluated 3,900+ customer transactions via SQL/Tableau, uncovering sales, rating, and shipping trends by age and region. Developed 20+ Tableau dashboards utilizing parameters, LOD expressions, and calculated fields to segment customers. Monitored regional financial performance metrics, identifying up to 68% variance to inform targeted customer strategies.

Identified two untapped user segments totaling 10,000+ potential customers via market sizing and competitor scans. Formulated a growth strategy capable of generating over $60M in new revenue through regional activation.

Developed and maintained project timelines, scope, and budgets, achieving a 20% cost savings on a $1 million budget. Directed bi-weekly meetings, fostering continuous communication among 17 project stakeholders, resulting in a 90% improvement in information exchange. Executed comprehensive market research and SWOT analysis, evaluating 10+ competitor platforms and assessing 500+ user reviews to guide strategic initiatives. Implemented Agile methodology and Scrum framework to ensure timely delivery and successful project completion.

Streamlined resource allocation and supply chain workflows, cutting operational costs by 6% and inventory by 10%. Enhanced production planning accuracy by 18% through implementation of an optimized forecasting model. Uncovered quality improvement areas and revenue opportunities worth 10% of current sales via strategic analysis.

Examined the concept of inclusive leadership and its significance in creating diverse and inclusive workplaces. Explored the 6Cs framework, outlining the essential traits of inclusive leaders: Collaborative, Committed, Courageous, Cognizant, Curious, and Culturally Intelligent. Provided recommendations for organizations and managers to foster inclusivity, including setting diversity goals, promoting diverse leadership, and encouraging open communication.

Analyzed the impact of AI and ML on customer service in neobanks compared to traditional banks. Investigated the use of AI and ML to improve customer service, reduce costs, and prevent fraud. Proposed business model innovations for Revolut to enhance customer service and competitiveness.

Curated and preprocessed a dataset of 5000+ deepfake videos and authentic content, ensuring data integrity and relevance for training deep learning models. Conducted rigorous testing and evaluation of the model's performance against a variety of deepfake scenarios and audio manipulation techniques, achieving a cross-dataset accuracy of 74.79% for Sequential CNN and 68.34% for Inception-ResNet-v2 model.

Spearheaded the full-stack mobile app development with Android Studio, guaranteeing on-time delivery, milestone compliance, and seamless Firebase integration, bolstering performance and security. Proposed a robust search feature that allowed users to locate study materials, reducing search time by 30%.

Managed the end-to-end development of a railway reservation system within the current application framework, ensuring seamless booking processes, and reducing manual efforts; achieved a 20% improvement in customer satisfaction.