Data Analyst, Data Scientist Resume

Candidate Pitch:

Highly analytical, detailed, and results-driven professional, offering years of experience in data management, statistical analysis, and programming. Skilled at developing, maintaining, and optimizing databases in addition to performing complex data analyses to generate actionable insights. Adept at employing statistical methods and machine learning techniques to real-world data, including regression, classification, and dimensionality reduction. Equipped with excellent communication aptitude in delivering technical concepts to non-technical stakeholders and translating business needs into feasible solutions. Recognized for solid work ethic, able to work within a fast-paced environment and manage large datasets with a focus on accuracy and efficiency. BGC GROUP | New York, NY q/kdb+ Independent Contractor January 2023–July 2023  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+ Independent Contractor October 2021–October 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  Completed a 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 May 2015–August 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   BARUCH COLLEGE | New York, NY Calculus Tutor | Teaching Assistant September 2013–December 2015  Taught undergraduate students in groups of one to three about Algebra, Trigonometry, Differential Calculus, and C++ programming for one to two hours  Served as a teaching assistant for a College Algebra course and substituted for the adjunct professor when necessary Earlier Positions Held: CITIMORTGAGE | New York, NY Risk Intern (1 Month)  Used VBA (Visual Basic) to write a program that automated the production of a matrix of pivot tables that described the relationship between the LTV (Loan-to-Value) of a person’s mortgage and that person’s FICO score to determine which loans were most likely to default MOUNT SINAI HOSPITAL | New York, NY Research Intern (1 Year and 10 Months)  Performed research on interventional radiology and made monthly presentations on that research  Conducted an experiment testing the efficiency and cost-effectiveness of using biofuel from algae MEMORIAL SLOAN KETTERING | New York, NY Research Intern (1 Month)  Shadowed doctors, technicians, IT support, and other medical staff  Collaborated and communicated with people of varying positions and backgrounds to aid in patient treatment  Wrote and presented research reports on the various methods of diagnostic and interventional radiology  Presented to a room of 80 doctors and laypeople about radiofrequency ablation and cryoablation OTHER EXPERIENCE ROOSEVELT ISLAND OPERATING COOPERATION | New York, NY NYS Special Patrolman October 2018–January 2020  Responded to emergency situations to safeguard individuals and property from incidents like trespassing, theft, and assault  Managed traffic flow during emergency responses by FDNY/NYPD to incidents, criminal activities, or accidents  Documented events and irregularities in detailed incident reports COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK | New York, NY Independent/Private Tutor December 2017–August 2018  Performed research on interventional radiology and delivered monthly presentations on findings  Gained exposure to a range of medical technologies in healthcare delivery  Conducted an experiment to evaluate the efficiency and cost-effectiveness of using algae-based biofuel PROJECTS Project Name: Machine Learning in R March 2021–May 2021 Tools: R  Identified the most significant predictors for MLB wins using Elastic-Net Regression and Random Forests Project Name: K-Nearest Neighbors + ML on Iris Dataset in SAS March 2021–May 2021 Tools: R  Completed K-nearest neighbors and linear discriminant analysis within the Iris dataset to develop a machine learning (ML) classifier, gaining a classification accuracy of 98.52% Project Name: Data Visualization in Tableau October 2020–December 2020 Tools: Tableau  Created a Tableau map visualizing the locations of fatal police shootings in the U.S. from 2015 to 2020 using a GPS dataset from the Washington Post  Aggregated encounters into threatening or non-threatening to police, identifying approximately 5% rate of unjustified fatalities Project Name: Multivariate Statistics in SAS October 2020–December 2020 Tools: SAS  Used various multivariate statistical methods including principal component analysis, linear/quadratic discriminant analysis, KNN, and multivariate analysis of variance (MANOVA)  Conducted MANOVA with a team to determine statistically significant differences between diamond cuts  Analyzed a diabetes dataset for Pima Indians, using PCA to reduce dimensionality to three principal components explaining 60% of the variance Project Name: Data Processing/Web Scrapping in Python October 2020–December 2020 Tools: Python  Developed a Python script to collect and order articles from a tech website and organized them based on upvote score  Produced a comma-separated value (CSV) file containing a list of articles from the first two pages that is also ordered by descending score Project Name: Machine Learning in R – Predicting NYC House Prices February 2020–May 2020 Tools: R, tidyverse  Collaborated with a team of three students to clean a NYC Housing dataset using R's tidyverse  Employed ML techniques including random forests and stepwise regression to train and evaluate models for predicting house prices  Assessed potential models through residual plots to ensure accuracy and reliability Master of Science in Statistics, May 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, May 2016 City University of New York: Baruch College – Macaulay Honors College | New York, NY – Awarded with full scholarship – GPA: 3.8 Machine Learning | Data Management and Visualization | Quality Assurance | System Implementation Coding and Scripting | System Monitoring | Testing and Debugging | Business Process Enhancement PROFESSIONAL DEVELOPMENT 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 ACTIVITIES SAT Math Mentor, Let’s Get Ready TECHNICAL SKILLS R | Python | Tableau | VBA | SQL | LaTeX | Q/KDB+ | AWS | q/kdb+ | Unix | Git | Bash