As a Data Scientist Associate at DIA, an esteemed analytics-driven consulting firm, I excelled in creating advanced predictive machine learning models. These models skillfully identified and categorized fans for a major professional sports league based on their engagement, behavior, and preferences. This significant contribution empowered the development of targeted and personalized marketing strategies, enhancing fan experiences and bolstering revenue.Contributed to the ticket data… Show more As a Data Scientist Associate at DIA, an esteemed analytics-driven consulting firm, I excelled in creating advanced predictive machine learning models. These models skillfully identified and categorized fans for a major professional sports league based on their engagement, behavior, and preferences. This significant contribution empowered the development of targeted and personalized marketing strategies, enhancing fan experiences and bolstering revenue.Contributed to the ticket data ingestion process, collaborating with multiple ticketing partners to ensure accurate and comprehensive data capture. I also provided support in the development and maintenance of the database, showcasing my ability to manage complex datasets and effectively support data-driven business operations. Show less

• Spearheaded the development of 4 different products: Acute Kidney Injury Prediction Algorithm, Emergency Ventilator, Medical Device Data Acquisition System, and a Lung Emulator.• Deployed the Medical Device Data Acquisition System to 20+ hospitals across the United StatesRenal Instinct: Machine learning-based algorithm to predict Acute Kidney Injury (AKI)• Established the gold standard of the algorithm using clinically approved rules for kidney health assessment• Extracted… Show more • Spearheaded the development of 4 different products: Acute Kidney Injury Prediction Algorithm, Emergency Ventilator, Medical Device Data Acquisition System, and a Lung Emulator.• Deployed the Medical Device Data Acquisition System to 20+ hospitals across the United StatesRenal Instinct: Machine learning-based algorithm to predict Acute Kidney Injury (AKI)• Established the gold standard of the algorithm using clinically approved rules for kidney health assessment• Extracted clinical features from patient data (MIMIC database) to predict AKI using Neural Networks and an LSTMRecurrent Neural Network (TensorFlow Keras)• Achieved ̃89% accuracy in predicting AKI stages 12 hours ahead of event occurrence on a clinical database (MIMIC)using the LSTM model• Achieved ̃83% cross-validation accuracy on a testing dataset from a different clinical database (eICU) CoVent-20: Emergency smart ventilator• Designed and manufactured a ventilator using 3D printing technology• Implemented various control schemes for ventilating a patient’s lung with the correct amount of pressure/volume/oxygen concentration• Used system identification techniques to estimate parameters of the 1st order physiological lung model• Implemented a smart control schema that uses estimated real-time lung parameters to adjust pressure and volume ventilator setpointsDr. Wave: Medical device data acquisition system• Built C# executables to extract patient chart data and waveforms in real-time from Philips MX800 patient monitor; and Macquet Servo U/I, GE R860, Hamilton G5/C6, Drager, Puritan Bennet ventilators.• Used Python to build a data conversion toolkit for use by researchers to convert Dr. Wave binary files Ventester: Lung emulator with a data acquisition system• Spearheaded the creation of a data acquisition toolkit from a Lung Emulator using Arduino and Simulink • Integrated various sensors to assess ventilator performance on a patient’s lung emulator Show less

HoloLens & C-ALEX (System Integration):Developed an application on the HoloLens in C# for providing visual feedback of the user's gait cycle in real-time. Used to robot kinematics and joint angles from the Inertial Measurement Units (IMUs) of the exoskeleton to generate an AR object that represented the leg of the user. Further, I conducted experiments on 8 Healthy subjects in conjunction with the over-ground exoskeletal system. The system showed significant improvement over the traditional… Show more HoloLens & C-ALEX (System Integration):Developed an application on the HoloLens in C# for providing visual feedback of the user's gait cycle in real-time. Used to robot kinematics and joint angles from the Inertial Measurement Units (IMUs) of the exoskeleton to generate an AR object that represented the leg of the user. Further, I conducted experiments on 8 Healthy subjects in conjunction with the over-ground exoskeletal system. The system showed significant improvement over the traditional haptic-only system.Augmented Reality Obstacle Course:Integrated an AR Obstacle course with the Rehabilitation protocol for the Cable Driven Active Leg Exoskeleton. Developed an application in UNITY C# that creates user-defined obstacles which help users train their step height and step length gait parameters. Show less

Worked as an assistant to the professor and the machine shop.Responsibilities:Create and grade quizzes for undergraduate studentsGrade the final projects

Developed specialized cryogenic sample holder to work in cryogenic temperatures. Designed PID controllers and circuitry of high precision temperature and pressure sensors using Arduino. Further, I analyzed the Liquid Nitrogen flow through the entire system using ANSYS CFX.