Currently working as a Data Scientist Intern in the Applied Artificial Intelligence department at Raytheon.I first developed an automated email system using Alteryx to notify users of tool failures, connecting to multiple data sources for preprocessing. This system dynamically generates and sends weekly emails, reducing system load, improving tool performance, and providing proactive feedback to users. The value of this system is significant, addressing two key goals: it reduces system load and CPU utilization across impacted tools, enhancing reliability and performance. Additionally, it provides feedback to data tool users on the status of their jobs. Notifying users of failures allows them to fix or remove failed jobs, saving time and resources, enhancing efficiency, and benefiting both the users and the department managing these tools.Then I automated the creation and integration of user metric reports using Alteryx and PowerBI. By consolidating metrics from eight tools into a single dashboard, I streamlined data access for management and significantly reduced the time required for manual reporting. The value of this dashboard is substantial: it serves as a one-stop solution for management to access monthly metrics, saving hours previously spent on manual report preparation. By integrating data from eight different tools into one dashboard, it eliminates the need to track multiple reports in different locations, enhancing efficiency and providing easy, centralized access to important user data.I also enhanced machine learning algorithms, boosting model accuracy from 91% to 96% by automating model selection, incorporating bigrams, and implementing hyperparameter tuning. These optimizations, reviewed by subject matter experts (SMEs), reduced manual work by approximately 240 hours annually, resulting in substantial cost savings and more accurate prediction models.

In my role as a Graduate Teaching Assistant in the Management Science and Information Systems (MSIS) department, I assist students in the MSIS 3223 Principles of Data Analytics course. This involves helping students solve problems related to descriptive, predictive, and prescriptive analytics in a business context. We use Excel and other analytics software for techniques such as forecasting, optimization, location analysis, decision analysis, and inventory management.

I was a medical technologist in the microbiology department of a smaller hospital. My duties were extensive due to the hospital's size. I managed all samples, ensuring tests were conducted and results reported promptly. I communicated with physicians and nurses about test details and updated patients on test results. I helped install and validate new analyzers, maintaining them to ensure high testing standards. My schedule included weekends and holidays, and I covered for absent colleagues, sometimes extending my shifts due to high test volumes and staff shortages. I identified bacteria and worked closely with the medical team to optimize lab operations. During electronic downtimes, I conducted manual tests. I managed the department's inventory, introduced students to the department, and actively participated in CAP surveys for enhanced patient care and diagnostic accuracy.

As a medical technologist specializing in Hematology within a Clinical Trial setting, I had key responsibilities. I managed the processing department, emphasizing the importance of efficient and correct sample handling for accurate testing. Flexibility was essential, especially when facing unpredictable delivery schedules. Often, I had to stay late, especially when flights with samples were delayed. My role also included the installation and maintenance of new analyzers, ensuring the ongoing tests were not compromised. Additionally, I was in charge of inventory, ensuring the hematology department was always stocked and ready. Beyond equipment and supplies, my focus was on precision in testing and compliance with standards set by external agencies like the FDA. Collaborating closely with project managers and scientists, I reported laboratory findings promptly and accurately. My expertise in clinical trial methodologies informed every task. Punctuality was a strict commitment, as timely test results were critical to the trial's integrity. Furthermore, I contributed in monthly lab meetings and played a vital role in training new employees to adhere to our protocols.

In an overnight and variable position, I prioritized tasks efficiently, managing a high volume of tests and samples due to limited staffing. My role involved complex sample analysis, emphasizing accuracy especially during non-traditional work hours when fatigue could be a factor. During peak respiratory seasons when many colleagues were absent, I consistently stepped in to cover shifts, often working more than five consecutive days. Being the sole technologist on duty, I was responsible for all equipment across departments. I committed to 10-12 hour shifts to troubleshoot issues, ensuring consistent, high-quality patient care. I also handled the calibration and maintenance of clinical labs, ensuring their proper function without daytime support. Clear communication with night-shift colleagues and on-call medical staff was essential. I quickly addressed anomalies in test results or equipment issues, always adhering to safety protocols. I took the initiative to stay updated with the latest in the field and demonstrated resilience, a deep understanding of lab techniques, and unwavering commitment to patient care despite staffing and hour challenges.

In an overnight full-time position, I worked from Wednesday to Sunday, covering holidays and often clocking in overtime. My duties included conducting precise laboratory tests on diverse patient samples promptly. Despite challenging circumstances such as extreme weather, pandemic outbreaks, or civil unrest, I always ensured my presence, driven by the urgency to deliver patient results. Working nights, weekends, and holidays became routine for me, recognizing the sacrifices necessary for patient well-being. During peak respiratory seasons when numerous coworkers were absent, I consistently covered their shifts, even if it meant working more than five days straight. I calibrated and maintained clinical laboratory equipment to guarantee accurate test outcomes and oversaw quality assurance and control protocols. Adhering strictly to lab and regulatory standards, I documented, reviewed, and promptly reported test results. My role also entailed collaborating with multidisciplinary healthcare teams to aid in patient diagnosis and treatment. I prioritized staying current with clinical laboratory advancements, integrating new practices when suitable, and ensured adherence to safety protocols for the well-being of staff and patients. Additionally, I contributed to training new staff and students and participated in professional development initiatives.

In my overnight position, I worked from Thursday to Sunday, often covering holidays and overtime. I conducted precise and accurate laboratory tests on a range of patient samples, ensuring timely results. Despite facing extreme weather, pandemics, and civil unrest, I consistently showed up to work, driven by the need to deliver prompt patient results. Given the nature of the position, I regularly worked nights, weekends, and holidays, recognizing the demands of patient care. I managed the calibration and maintenance of clinical laboratory equipment for dependable results and implemented quality assurance and control protocols. I documented, reviewed, and reported test outcomes in compliance with lab and regulatory standards. My role also involved collaboration with a multidisciplinary healthcare team for patient care, staying abreast of clinical laboratory advancements, and integrating new methodologies when relevant. I strictly followed safety procedures for the protection of staff and patients and assisted in training new personnel, while also engaging in professional development.