Empowering property managers & owners with cutting-edge statistical models to maximize revenue. Our ensemble of robust machine learning models optimizes rental listing prices, minimizing vacancy and maximizing revenue. Additionally, we've developed a revolutionary 'PadScore'—a proprietary socio-economic scoring system for every block group, census tract, and county in the United States. PadStats is also working towards a comprehensive crime mapping solution and customized property valuation models; stay tuned!Check us out! https://padstats.com/

-Procure and rejuvenate distressed properties in strategic opportunity zones across various cities, including Lancaster, PA; Tampa, FL; and Miami, FL.-Demonstrate expertise in securing optimal financing arrangements, skillfully negotiating rates and terms with various lenders.-Exhibit robust project management skills, coordinating with construction firms and contractors to ensure efficient and budget-conscious renovations.-Foster strong collaborations with city economic planners to obtain funding for façade improvement programs, contributing significantly to neighborhood revitalization.-Commitment to enrich local communities by providing high-quality, affordable housing solutions, underlining a strategic and socially-conscious approach to real estate investment.

-Pioneered a severe weather classification model using TensorFlow, leveraging several decades of atmospheric sounding data and local storm reports.-Advanced this model by refining it on a regression scale, leading to an output of a regressed index instead of a standard classification type.Engineered a binary storm damage classification system, using OpenAI's Davinci text model on previously labeled data to categorize damage as 'strong' or 'severe' based on observer-written reports.-Specialized in predicting weather phenomena, enhancing community safety through precise and prompt weather-related advisories.-Demonstrated proficiency in Python and object-oriented programming for data extraction and analysis, successfully parsing over 10,000 raw gz formatted text files for marine wind forecast verification.-Utilized Google Colab and TensorFlow for the creation, training, and testing of machine learning models to predict severe thunderstorm wind.-Persistently aimed for improved forecasting accuracy and effective public communication by merging meteorology expertise with advanced technical abilities.

-Analyzed and interpreted various scales of meteorological data, utilizing this information to make critical, impact-based forecasting decisions.-Recorded and processed over 1,000 meteorological aerodrome reports (METARs), assisting military planners in executing aviation and maritime operations.-Crafted and disseminated terminal aerodrome forecasts (TAFs) for aviation planners and pilots, effectively accounting for potential meteorological hazards.-Developed comprehensive in-flight weather briefs for pilots (DD175-1s), detailing flight hazards and proposing alternate destinations.-Authored and updated route products for aviation personnel, considering local and regional weather conditions to ensure safe flight operations.-Operated the Pilot-to-Metro Service (PMSV) to deliver real-time weather updates to pilots, and gathered valuable pilot reports (PIREPs).-Issued timely watches, warnings, and advisories based on meteorological conditions, safeguarding military personnel and property.Prepared forecast discussions for military officials and adjacent meteorological offices, enhancing understanding and awareness of forthcoming weather conditions.Displayed dedication and resilience, often working extended hours to cover hazardous weather conditions and prolonged flight operations.Received formal training on protocols and procedures during aircraft mishaps, enhancing readiness and response capabilities.

-Encoded, processed, and analyzed over 6,000 weather observations (METARs), providing critical data for operational planning.-Crafted and disseminated over 1,000 Terminal Aerodrome Forecasts (TAFs), assisting in informed decision-making processes for air operations.-Distributed over 400 Flight Weather Briefings (DD-175-1s and Canned Routes), providing crucial meteorological information to aviation personnel.-Conducted over 100 formal Meteorological Impacts Briefs to field-grade military officers, enhancing situational awareness and operational readiness.-Provided direct meteorological support to various aviation elements, including fixed-wing, rotary-wing, and ISR assets.-Managed METAR requests and Pilot Reports (PIREPs) via PMSV Radio Communications, ensuring timely and accurate information dissemination.-Launched over 30 radiosondes and plotted corresponding data in remote, field environments, contributing to accurate weather forecasts.-Developed proficiency in operating Automated Weather Observing Systems and the Automated Surface Observing System (ASOS).Efficiently disseminated advisories, watches, and warnings related to weather phenomena, protecting personnel and equipment.Accumulated over 2,000 hours of forecasting experience in diverse environments like Bahrain, Kuwait, and Iraq, supporting Operation Inherent Resolve.Conducted over 2,000 hours of security entry control point duty, safeguarding multi-million dollar government assets.

-Gained in-depth understanding of the fundamentals and principles of atmospheric sciences, focusing on the dynamic processes in meteorology and oceanography.-Studied advanced methods and techniques related to data analysis, observation, and forecasting procedures in meteorology and oceanography.-Explored the impacts of meteorological conditions on aviation, deepening the understanding of aviation-related weather phenomena.-Completed the course with 68 credit hours, demonstrating comprehensive knowledge and dedication to the field.-Earned distinction as a graduate, underscoring commitment to academic excellence and mastery of subject matter.