•Focused on developing machine learning models to detect and prevent fraud in non-card transactions.•Designed and deployed fraud detection models for various transaction channels to identify suspicious activity with high precision.•Engineered advanced features (e.g., slopes, skewness, kurtosis) to improve model accuracy and performance.•Built scalable solutions using Python, PySpark, and Cloudera Data Science Workbench for batch (near-real-time) transaction scoring.•Conducted explainability analyses using SHAP and information value to ensure regulatory compliance and transparency.•Integrated machine learning models with rule-based systems for comprehensive fraud detection strategies.•Explored and applied advanced techniques like adversarial validation and population drift detection.

• Use of Python, PySpark, and SparkML to develop machine learning models for fraud prevention and better identification of good customers, increasing approval rates in the account origination space.• Use of SHAP to meet federal requirements on model explainability (explainable AI).• Use of inference techniques to mitigate bias from censored populations and develop business strategies through swap-set analysis.• Attend and present at knowledge sharing presentations.

Financial Crimes

Managing @IoniaScience on X (Twitter), where I share science facts, highlight scientific achievements, and engage the public on trending science topics. Topics range from physics and biology to emerging fields like Decentralized Science (DeSci) and blockchain in research. Building a community of 80,000+ followers, I aim to make science more accessible, foster curiosity, and champion transparency in scientific research.

• Analyzed big data using Python, SAS, SQL for early detection of revenue issues• Developed dashboards with Spotfire providing 1200 sales professionals across U.S. tools to plan their next actions and view their performance• Worked with stakeholders under Agile framework to provide insights into business decisions and execute vision• Developed first gamified report enabling competition amongst sales• Received Bravo Zulu award and Purple Choice award for gamification efforts

I supervised over 50 agents at level 1 call center for Federal Express employees located at the University of Memphis. I conduct interviews, performance reviews, establish and enforce rules and policies, ensure the call center is running optimally and efficiently. Additionally, I handle everything data related. I created a webapp in python that automatically grabs our agent's call statistics. The webapp stores the stats in an SQL database, creates various pots and Excel sheets, and determines the top performers the previous day as well as the previous week. Everything is hosted online for management and supervisors to download for performance reviews.Skills : Python, Webapp development, SQL, NumPy, Matplotlib, Pandas, Git, Virtual environments, Flask applications, Data extraction, Data analysis, Machine learning/regression models

I performed patient quality assurance (QA) on stereotactic body radiation therapy (SBRT) and intensity-modulated radiation therapy (IMRT) plans using Elekta Synergy, Infinity, and Versa linear accelerators and MOSAIQ software. I have experience using both Delta4 and ArcCHECK diode arrays for IMRT measurements as well as Exradin’s A12S ion chamber and Standard Imaging’s SuperMAX electrometer for SBRT measurements. In addition to this, I have experience performing electron output measurements as well as performing measurements with film.

Current methods of peripheral nerve repair generally do not lead to full functional recovery. However, literature suggests that this functional recovery gap can be bridged via electrical stimulation. This work investigates polyurea crosslinked silica aerogel (PCSA) as a biomaterial for the development of an in vitro model of a “smart” implant. PC12 neuron analogs were grown on PCSA and tissue culture polystyrene (TCPS) with and without application of an applied electric field. PC12 grown on PCSA were found to exhibit longer neurites than those grown on tissue culture polystyrene (TCPS) due to surface effects alone. Upon application of a 200mV/mm electric field, PC12 neurites oriented towards the anode grew longer than those oriented towards the cathode on both PCSA and TCPS. These results suggest that PCSA can be used as a biomaterial in the construction of a smart implant to aid in peripheral nerve repair. Furthermore, increased PC12 neurite growth rates due to both the PCSA surface and electric field stimulation could translate to decreased recovery time for nerves in vivo.Technical Skills :Light Microscopy, Cell Culture, Immunocytochemistry, Fluorescence Microscopy, Live Staining, Confocal Microscopy, Scanning Electron Microscopy, Extracellular Matrix, COMSOL Multiphysics Software, OriginPro, Polymer Synthesis, Critical Point Drying, Sputter Deposition, Spectrophotometry, Phosphor Luminescence, Contact Angle Measurement, Uniaxial Tensile TestingTeaching :I was an instructor for the laboratory component of the General Physics I course. I gave short lectures on topics such as acceleration, Newton's Laws, projectile motion, uniform circular motion, conservation of momentum and energy, torque etc. I would then guide the students through experiments pertaining to these topics. I taught three sections per semester with each section containing 40 students.