逗号简历

Built AI tools to determine future mainframe system behavior in real-time and developed neural network and natural language processing models in Python to predict program output and failures based on firmware changes, the total value added to the project estimated at $200K per system and $1M per year.

Applied theories of mathematical optimization and linear programming algorithms to discover optimal supply chain solutions.

Designed and developed complex simulation and optimization models (C/C++) to craft profit-generation strategies and containerized and deployed optimization applications to Kubernetes clusters on IBM Cloud resulting in a project that provides an annual ROI of $250K.

Developed analysis and visualization tools for IoT data using Python data science libraries (SciKit-Learn, Pandas, TensorFlow).

Analyzed operational and hyperlocal weather data using statistical methods and reviewed research data and crafted tailored strategies for new client acquisition.

Collected and analyzed data from news and social media sources, and developed predictive models for cryptocurrency futures trading.

Designed Natural Language Processing (NLP) algorithms to valuate cryptocurrencies using sentiment analysis (Python, NLTK).

Provided analytical support for the launch and management of new quantitative investment products & strategies.

Analyzed and managed financial data of up to $500K per year for Columbia personnel and developed strategies to reduce financial waste and optimize budget & resources by leveraging advanced capabilities in Microsoft Excel.

Researched methods for P&L optimization based on budgets, and presented reports of research findings using data visualization tools.

Designed and developed automated testing frameworks using C++ and Java for manned, deep-space exploration spacecraft.

Analyzed testing data output and compiled research papers for senior software engineers and conducted optimization and operations research and presented findings to senior government officials.