Aradhya Singh Bisht

As a dedicated learner pursuing a Master of Science in Business Analytics, I am relentlessly driven to unveil the narratives concealed within complex datasets. Armed with proficiency in programming languages such as R and Python, I possess the technical capability to navigate vast datasets and extract meaningful information. My academic journey has equipped me with the analytical tools and skills needed to transform intricate data into insightful knowledge.

My passion lies in turning raw data into practical solutions. I have applied advanced SQL techniques to transform and visualize raw UMD baseball data, resulting in precise business insights. I have also executed Python-based statistical analysis on cleaned US bankruptcy data, achieving a remarkable 96.13% accuracy using Random Forest, Decision Tree, and KNN classifier algorithms. Additionally, I demonstrated leadership by engineering a Social Media App for 500+ users, utilizing the Friendship Paradox for network development and implementing the Breadth-First Search algorithm for node connection.

In my most recent role as an Automation Intern at SCOR Global Life, I spearheaded the development of automation solutions using C# and Python with Selenium, resulting in a 90% decrease in operational load. This experience, coupled with my current role as a Grader and Instructional Support at the University of Maryland, where I manage assignments on Jupyter Notebook and assist with administrative duties, underscores my ability to apply technical skills in real-world scenarios.

Noteworthy achievements include my tenure as a Business Research Analyst Intern at TNC Aviation, where I optimized a virtual inventory of 50+ research papers, reducing resource retrieval time by 20%. I am eager to leverage my extensive technical skills, analytical prowess, and leadership experience to contribute meaningfully to data-centric projects. I am open to exploring intersections between data science, technology, and business, with a passion for driving innovation and strategic value.