As a data enthusiast, I have a knack for turning raw information into gold. My journey has been defined by innovation, strategic thinking, and a deep love for data-driven solutions.I have a proven track record of building applications that harness the power of Docker, Python scraping, and business intelligence software, and artificial intelligence and machine learning. By aggregating competitor pricing data, I've transformed data retrieval and processing, and rendered pricing models saving hundreds of hours each month. I am also working on an email-campaign package using generative artificial intelligence.I have also applied machine learning algorithms to predict myopia in patients to 94% accuracy rate, automating the accuracy rate optimization through hyperparameter tuning.I'm not just a data professional; I'm also a visionary. I designed a strategic plan that led to the establishment of a thriving data analytics and consulting business. My focus? Delivering game-changing analytics solutions to small- to medium-sized companies, helping them thrive in the data-driven era.Let's Connect: If you're as passionate about data as I am, let's connect and explore the possibilities. Whether it's revolutionizing data processes, charting strategic courses, or uncovering hidden stories within data, I'm always excited to collaborate and drive meaningful change.

Passionate about harnessing the power of data and cutting-edge technology to drive innovation, I am a Senior Scientist with a strong track record of providing pivotal support to researchers and institutions. My journey is a fusion of computational wizardry and a commitment to advancing knowledge in multiple fields.I specialize in code compilation, optimization, and parallel computing, collaborating with the brilliant minds at Rutgers. My expertise extends to GPU support, aimed at supercharging research workflows. I'm dedicated to fueling research in statistics, genomics, and machine learning. With an eye for excellence, I review and rebuild applications critical to these domains, such as R, Alphafold, PyTorch, and TensorFlow. I ensure that researchers have the tools they need to make groundbreaking discoveries. These projects resulted in the accurate prediction of protein structures on the order of a few hydrogen-atom widths.I've managed projects that leverage cloud resources, providing cost-effective solutions and enabling seamless data transfer with platforms like Globus and Cloud CLI. This is where the future of data analysis and storage resides, and I'm at the forefront.As an advocate for knowledge sharing, I've designed laboratory exercises for courses on Big Data Systems, introducing students to Hadoop and Spark. I'm dedicated to nurturing the next generation of data scientists and engineers.I also proudly support CAREERS Cyberteam as a cloud specialist, offering my expertise to mid-sized institutions, ensuring they have the tools and guidance they need to excel in their data-driven missions.If you're passionate about data, tech, and innovation, let's connect! I'm always excited to explore new opportunities, discuss cutting-edge projects, and collaborate with like-minded individuals in the ever-evolving world of data science.

Instructor of Data Science

Provide user support, consultation with faculty and RDI2 community, and policy advice for use of RDI2 systems.

- Coordinated research for, instruct, and mentor two Master’s students on micro-combustorflames stability and device efficiency.- Coordinated code development for a National Science Foundation funded multi-institutionalcollaborative research project on sooting flames.- Determined correct implementation of advanced sub-models for soot formation, minimumcomputational requirements for 2D and 3D flames, and begun preliminary evaluation of sootformation under fuel rich conditions.

- Advanced direct numerical simulation capabilities for practical devices through development of immersed boundary conditions method.- Tested code stability and accuracy utilizing massively parallel computational resources.- Presented results at the Central States Section of the Combustion Institute Spring Technical Meeting in April 2012.

- Incorporated spray physics sub-models to Sandia S3D Direct Numerical Simulations combustion code.- Designed computational experiments to ascertain the coupled effects of aerodynamic and thermal quenching due to strain and water spray evaporation.- Discovered corrected form of the Navier-Stokes characteristic boundary conditions applicable to spray-gas phase interaction problems.- Published results in the Proceedings of the Combustion Institute and presented at various conferences on methods to identify and recognized coupled thermal and aerodynamicextinction events.

- Developed plan for supplementary instruction of Thermodynamics to undergraduate students, including derivation of thermodynamic relations and mechanical device process.- Reviewed with students the material pertinent to exams, and led discussion sessions on analytical tools used for solving problems in thermodynamics.- Received excellent evaluation on teaching performance, technical knowledge, and communication skills from students.

- Built and administered a Beowulf cluster to be used as an educational computational resource.- Created and taught a mini-course on parallel computing to satisfy department wide need forparallel computing education.

- Designed curriculum for 25 incoming freshmen students from disadvantaged NJ school districts by creating major exams, quizzes, lesson plan, and lecture notes for college physics course.- Administered and participated in individual and group tutoring sessions.- Proctored and graded examinations.