Jasdeep Sidhu, Ph.D. Email & Phone Number

Reno, Nv, Us

Generative AI startup for digital marketers leveraging open and close-sourced large language models.

Reno, Nv, Us

Pleasanton, California, Us

● Built a fraud detection machine learning model to identify dark-web compromised customer accounts by scanning 1TB of data warehouse data and fusing it with external data from the dark web.● Developed an automated ETL data pipeline from the bottom up to monitor suspicious activity leveraging Python, PySpark, Postgres, Airflow, and Jupyter Notebook.● Created a feature detection machine learning model for investigating Account Take Over (ATO) activity.● Completed a Black Hat training in Applied Data Science and Machine Learning for CyberSecurty.● Collaborated with stakeholders to provide technical assistance in maintaining a production Continuous Integration and Continuous Development (CI/CD) Jenkins pipeline.

San Francisco, Ca, Us

● Created a 311 service reports database collecting, cleaning, and processing 35 million rows of data from 10 cities datasets with Amazon s3, Spark, SQL, Postgres, and Dash.● Leveraged AWS distributed computing power to create 4 ec2 Spark clusters, modeled data in a first normalized form, and wrote the data to the PostgreSQL database.● Analyzed and visualized the 311 complaints, wrote SQL queries, and plotted data using python libraries.● Built an end to end data pipeline with a Dash based UI application displaying a heatmap of service requests.

Gainesville, Florida, Us

● Fundamental theoretical and computational physics research in the field of condensed matter physics developing computational models of superconductivity and spintronics studying the effects of inhomogeneity in the materials.● Developed a microscopic theory of unconventional superconductivity near a twin boundary.● Developed and maintained Python, Matlab, Fortran, and C++ codebase in 46,000 core HIPERGATOR, a High-Performance distributed computing facility.● Implemented a supervised machine learning model applied to 10 non-independent self-consistent cost function equations solved simultaneously by gradient descent method in Python and Matlab to develop a microscopic theory of superconductivity near a twin-boundary.● Built an extract, transform, load (ETL) database in Pandas and NumPy to analyze the unearthed 3D phase diagram of disordered graphene.● Developed a numerical renormalization group (NRG) scaling technique to handle divergences in the local density of states( LDOS) of disordered graphene by computing LDOS integrals up to 100 decimal places in the near-zero limit.● Lowered computing time by 88% ( from 50 hours to 6 hours) to reduce the 2D problem to its effective 1D representation by applying the dimensionality reduction technique. ● Instructed hands-on physics courses in Classical Mechanics, Electromagnetism, and Thermodynamics.

Campbell, Ca, Us

● Led a team of 3 Instructors teaching a course in Machine Learning and Deep Neural Networks at a technology camp for students to get hands-on experience with machine learning.● Supervised, developed, and debugged student projects on machine learning in topics that included linear and logistic regression, cancer detection, computer vision, and training an AI agent to play StarCraft.

San Francisco, Ca, Us

● Experimental work on SQUIDs and thin-film wafers developing low temperature superconducting materials.● Numerical solution of the Lame-Emden problem in astrophysics.● Computed the Bessel functions in Electromagnetism for a cylindrical potential problem.● Taught three courses: Classical Mechanics, Electromagnetism, and Thermodynamics.

Berkeley, Ca, Us

● Data analysis of Ultra High Energy Cosmic Rays data from the Pierre Auger Observatory.● Report titled "Significance of Ultra High Energy Cosmic Rays".

Doctor Of Philosophy - Phd, Physics

Master Of Science - Ms, Physics

Bachelor Of Science - Bs, Engineering Physics