Achieved a prestigious global ranking within the top 10 in an annual student competition focusing on data science and advanced analytics. Employing SAS Enterprise Miner, a comprehensive statistical analysis was performed to delve into the elements contributing to subjectively "good" red wine, drawing from consumer ratings survey data. A comprehensive exploration unfolded with the creation of fifteen distinct models within the program, each geared towards pinpointing the optimal approach for predicting factors aligned with highly-rated wines. Through meticulous analysis, Gradient Boosting emerged as the model of utmost accuracy in forecasting red wine quality. Unveiling a compelling revelation, our findings spotlighted that the alcohol content within red wine stands as the foremost predictor of quality. This discovery holds the potential to redefine wine production dynamics, with a recommendation for wine producers to center their efforts on refining alcohol levels as a pivotal facet of the distillation process. Anticipated to catalyze transformative shifts, this analysis extends a guiding hand to wine producers, equipping them with insights to craft elevated caliber wines. For a deeper exploration of this enlightening study, I invite you to click the link provided.

Crafted an all-encompassing training manual for prospective team members in collaboration with The Optimus Consultant Group. Dive into its contents by clicking the link provided.

Presenting the culmination of my internship journey at AutoCar Trucks, encapsulating pivotal moments of my contributions to the organization and showcasing key takeaways. Feel free to explore the presentation through the provided link.

During my Graduate Applied Statistics Courses focusing on Data Management and Data Mining, I undertook a substantial endeavor in the form of a Final Project Report. This report delved into an intricate Classification Analysis of Flight Cancellation Data, with the goal of unearthing correlations with pertinent factors that signal flights susceptible to delays or cancellations. Central to this analysis was the binary variable "Cancelled," which distinctly denotes whether a flight faced cancellation (marked as "1") or proceeded as scheduled (marked as "0"). The comprehensive study aimed to decipher the underlying patterns and indicators contributing to this outcome. For an in-depth exploration of my findings and insights gained from this endeavor, I invite you to access the full report by clicking the "Learn More" link provided.

Embark on a comprehensive exploration of the company's LinkedIn presence, complete with an in-depth analysis of LinkedIn Updates. This involves refining engagement strategies, optimizing the social media approach, analyzing the composition of LinkedIn followers, evaluating visitor demographics, measuring current reach metrics, aligning the target audience with core company values, and charting a strategic roadmap for campaign objectives and forthcoming steps. Feel invited to dive into the presentation by clicking the link provided below.

A thorough assessment of the company's LinkedIn presence, encompassing an in-depth analysis of LinkedIn Updates. This encompasses engagement enhancements, refinement of the social media strategy, scrutiny of LinkedIn followers, evaluation of visitor demographics, current reach metrics, alignment of the target audience with company values, and a strategic roadmap for campaign goals and future actions. Feel free to delve into the presentation by clicking the link below.