Meet Casey Winston Alexander, the financial maestro with a knack for data analysis and a treasure trove of technical skills. Casey's career is a testament to his prowess in the world of finance and technology, seamlessly blending these domains to drive impressive results. Casey's financial journey spans significant roles at top-tier institutions. At Talos Trading, he served as a Client Services Engineer, becoming the go-to person for head traders and engineers alike. His role involved maintaining system stability, addressing client inquiries, and integrating complex systems. Previously, at Liquidnet Holdings, Casey was a pivotal figure in both Fixed Income and Equities, designing trading flows, supporting high-stakes applications, and ensuring secure connectivity across platforms. His tenure at MarketAxess Holdings and Goldman Sachs further underscores his deep understanding of financial products and trading life cycles. Casey's analytical acumen shines through his extensive experience with data tools and programming languages. Proficient in Python and familiar with Jupyter Notebook, he has harnessed these tools for sophisticated data analysis. His database expertise spans PL/SQL, MySQL, SQL, and PostgreSQL, ensuring robust data management and querying capabilities. Casey's technical repertoire includes XML, JSON, and the FIX Protocol, alongside development tools like Visual Studio Code and Git. His problem-solving skills are complemented by certifications in Machine Learning and Data Science, adding a cutting-edge dimension to his profile. Casey's approach to his work is a unique blend of playful curiosity and stern dedication. Whether troubleshooting complex issues or designing innovative solutions, he brings a sense of fun and creativity, all while maintaining a rigorous commitment to excellence. His ability to juggle multiple projects and deliver top-notch results makes him a standout professional in the intersecting worlds of finance and technology. In essence, Casey Alexander is not just a financial expert or a tech enthusiast; he's a dynamic force driving innovation and stability in every role he undertakes.
Using a few ML models, I was able to transform the data, use several ML models, check accuracy/performance and predict pricing (within a certain threshold) for different cars
GitHub ML Repo
Using Python and OpenAI, I created a simple front-end that takes in a fitness related question and responds with a training program and a nutritional plan.
LLM Model
In Tableau, I created a dashboard to analyze 2019 Airbnb data using data provided by the NYC Open Data Initiative.
Tableau Dashboard
I use python on a daily basis to handle specific tasks needed for my job functions. This bootcamp proved to be beneficial.
Complete Python Bootcamp
Click the link below to view my Fixed Income Historic Trade Report Query, a super important report used by many departments. A very useful reporting query in MySQL.
SQL Github Repo
In 2024, I completed the Deep Learning Specialization from Coursera and DeepLearning.ai where I learned about Neural Networks, LSTMs, Transformers and NLPs.
DL Certificate
Completed in 2024. The following topics were covered, Supervised/Unsupervised Learning and Machine Learning techniques and models.
ML Certificate
This class focused on the math required for ML/DS (Linear Algebra, Calculus and Probability/Statistics) taught using Python math libraries. Completed in 2023.
Math for ML/DS Certificate
Covers statistics, EDA, visualizations using matploblib/seaborn/tableau, data collection/formatting/cleaning/normalization. Recently completed in 2024.
Google Certificate
The Series 7 exam measures the compentency of an entry-level registered representative or broker. Required for some broker/dealers within financial services.
FINRA BrokerCheck Site