◦ Responsible for conducting in-depth analysis of varied client-provided databases that are sourced from clinic patient management software, comprehensive documentation is written for the database structure and data availability.◦ Developing queries for BigQuery and Postgres databases to extract comprehensive metrics from dental patient data, enabling the generation of insightful business intelligence dashboards.◦ Engineered a normalized database architecture for storing client and patient information for business intelligence dashboards , streamlining the consolidation of disparate patient databases into a single unified structure. This design significantly reduced development time for new client on boarding while minimizing the risk of errors and redundancies.◦ Designed and implemented Python modules to access multiple APIs and retrieve supplemental patient data, integrating it into patient databases. This allowed clients to gain insights into their patients without the need for additional data collection, enhancing their understanding of patient demographics and optimizing decision-making processes.

● Developed a machine learning (ML) solution in Python for an image multi-class classification use-case for a large integrated energy company, where the goal was to classify rock types in a well to improve in-situ decision making for optimizing oil extraction for on-site wells.● Formulated an extensive exploratory data analysis (EDA) on client data to extract statistical information to inform data engineering and modeling design decisions.● Developed data processing and ML model pipelines in Python which improved efficiency of modeling experimentation. ● Refactored preexisting code base to strictly adhere to SRP and improved readability. This improved the extensibility of the code base during the project allowing for significantly faster model deployment. ● Presented weekly progress updates to clients that include discussions around EDA, modeling approaches, and model validation. Weekly audience consisted of senior data scientists, managers and subject matter experts. ● Showcased the ML solution as a proof of concept to key stakeholders at the client, that upon implementation would save $2.6M/year based on subject matter experts estimates.

● Electrical Engineering Group is currently working as a contractor for YaYa Foods to update safety codes for control system wiring and implementing new electrical control systems to increase automation in the food processing plant.● Implemented electrical control mechanisms (using sensors and PLCs) to improve the efficiency of assembly lines by turning off motor drives when products are not dectected by a sensor. ● Responsible for ensuring that assembly lines flow smoothly and repairing electrical malfunctions by performing tasks such as replacing faulty circuit boards, taking power measurements, and ensuring correct wiring.● Ensured the safety of the workforce by programming safety PLCs and designing control systems to stop the assembly line when unexpected events occur. ● Regularly communicated with technicians to ensure that planned designs were implemented effectively.

●Participated in the supervision of equipment installation on TETRA radio sites and was responsible for testing software solutions implemented on the DIMETRA network (Motorola’s TETRA implementation). ●Improved communication skills by collaborating and knowledge sharing with employees/interns and enhanced my teamwork and time management skills by working on projects in a professional environment. ●Completed various courses on TETRA, GSM, and Broadband that expanded my knowledge of the protocols used in digital communication such as LTE, WCDMA, and TCP/IP networking, while also learning how radio sites are set up in the field.