DATA SCIENTIST/ANALYST Resume

Candidate Pitch:

Results-driven professional with expertise in designing and deploying end-to-end fraud detection and monitoring solutions for high-volume transactional systems. Skilled at constructing resilient data pipelines in fragmented, real-world environments, integrating Oracle databases, web-scraped data, and inconsistent Excel sources across complex structures. Expert at developing automated ingestion, validation, transformation, and reconciliation processes; leading the creation of automated analytics platforms, reporting tools, and custom GUIs; and streamlining investigations to reduce manual work and enhance accuracy. Known as a trusted advisor to executive leadership, translating technical findings into policy recommendations, control enhancements, and fraud mitigation strategies. Data Scientist (Contractor) 09/2024 – Present ? Build robust, repeatable data pipelines to integrate fragmented sources, including Oracle databases, web-derived data, and Excel files scattered across intricate folder structures ? Take charge of standardizing inconsistent formats, resolving duplicates/missing values, and reconciling conflicting identifiers to establish a dependable analytical foundation ? Lead the development of automated analytics and reporting systems that convert high-volume raw transactional data into clear, actionable insights for technical and non-technical audiences ? Create internal tools and graphical user interfaces (GUIs) to streamline investigative operations, minimize manual effort, boost accuracy, and accelerate fraud detection workflows ? Serve as key advisor to executive leadership, distilling complex analytical results into concise recommendations that improve policy, internal controls, transaction limits, authentication requirements, and broader fraud prevention strategies ? Mentor colleagues on automation techniques, programming standards, and data-driven approaches, fostering team-wide adoption of efficient practices ? Designed and deployed comprehensive end-to-end monitoring solutions using Oracle SQL, Python, Selenium, VBA, and statistical methods to detect anomalous transactions and reveal sophisticated fraud patterns, thus achieving cost savings exceeding $2M per month BGC GROUP | NEW YORK, NY q/kdb+ Developer (Contractor) 01/2023 – 07/2024 ? Stored the disk read/write speeds and synchronous/asynchronous interprocess communication speeds for a cluster of Linux servers by developing a partitioned historical database using q/kdb+ to estimate and compare their performance statistics against a benchmark and inform the business whether to purchase servers based on the data ? Composed and automated financial reports gathered from databases and coordinated with stakeholders in identifying and translating business needs to technical requirements ? Provided custom daily and monthly trade reports to the firm’s clients using q/kdb+, containing information such as estimated volume of traded daily, monthly, and yearly by the firm’s clients organized based on asset types such as treasury, bills, notes, and bonds ? Developed and maintained a large q/kdb+ database containing nanosecond-scale data spanning back to 2017, managing hundreds of terabytes of data ? Improved legacy code and maintained various applications written by previous developers ? Managed a trading alert system to notify of unexpected trader session terminations ? Implemented a q process monitoring system to alert in case of sudden process crashes ? Programmed a script to calculate the price for custom financial derivative products based on treasury interest rates, utilizing the Newton-Rhapson algorithm for numerical approximation ? Ensured thorough testing and debugging of all systems to guarantee accuracy and reliability FIRST DERIVATIVES | REMOTE q/kdb+ Consultant 10/2021 – 11/2022 ? Build a chat room in q/kdb+ containing a database of usernames and encrypted passwords that verifies users when signing in, employing an interprocess communication (IPC) that utilizes transmission control protocol/internet protocol (TCP/IP) ? Conducted QA testing for the Canadian Security Authority Market Analysis Platform (CSA MAP) responsible for tracking and analyzing suspicious trading activity ? Configured a TickerPlant system with a feed handler real-time subscribers, historical database, and complex event processor using KX’s vanilla TickerPlant code on GitHub which automatically archives trade and quote data at the end of each day, clears and reloads all RDBs, and processes real-time maximum and minimum bid and ask prices for each ticker symbol ? Participated and completed in the company’s q/kdb+ training program which has 30 exams that tackle IT, finance, and consultancy topics such as SQL, Python, Linux, Bash Scripting, AWS, q/kdb+, capital markets, options pricing, futures and forwards, and interest rate & credit derivatives GENWORTH FINANCIAL | RICHMOND, VA Actuarial Intern 05/2015 – 08/2015 ? Displayed skills in translating and rewriting a reserve calculation algorithm from a programming language (APL) to Microsoft Excel’s Visual Basic for Applications (VBA), presented the project to more than 100 attendees which included senior actuaries ? Generated VBA code to build and maintain an inventory of more than 400 projection reports as well as automated data extraction Master of Science in Statistics, 2021 City University of New York: Baruch College – Zicklin School of Business | New York, NY American Statistical Association Award | GPA: 4.0 Bachelor of Arts in Mathematics, 2016 City University of New York: Baruch College – Macaulay Honors College | New York, NY Awarded with full scholarship | GPA: 3.8 AWS Solutions Architect Associate, 2022: Amazon Web Services q/kdb+ Advanced Course, 2022: KX Systems PCAP Certified Associate in Python Programming, 2021: Python Institute Learning Nano, 2021 | Unconscious Bias, 2021: LinkedIn Exam FM/2–Financial Mathematics | Exam P/1–Probability Theory: Society of Actuaries Fraud and Anomaly Detection Financial Risk Modeling ETL/Data Pipelines Implementation Internal Tools and GUI Development Data Management and Visualization Testing and Debugging Executive Communication and Policy Influence Large-Scale Transactional Data Processing Quality Assurance and Control Mentoring and Cross-Functional Collaboration