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Click here or scroll down to respond to this candidate M I CHAEL J AGDHARRY
WINTER GARDEN, FLORIDA Street Address PHONE NUMBER AVAILABLE EMAIL AVAILABLE
https://LINKEDIN LINK AVAILABLE -jagdharry/
DATA SCIENTIST/ANALYST
QUALIFICATIONS PROFILE
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.
AREAS OF EXPERTISE
Machine Learning | Data Management and Visualization | Quality Assurance | System Implementation
Coding and Scripting | System Monitoring | Testing and Debugging | Business Process Enhancement
RELEVANT EXPERIENCE
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
Page 1 of 3
M I CHAEL J AGDHARRY
WINTER GARDEN, FLORIDA 34787 PHONE NUMBER AVAILABLE EMAIL AVAILABLE
https://LINKEDIN LINK AVAILABLE -jagdharry/
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
Page 2 of 3
M I CHAEL J AGDHARRY
WINTER GARDEN, FLORIDA 34787 PHONE NUMBER AVAILABLE EMAIL AVAILABLE
https://LINKEDIN LINK AVAILABLE -jagdharry/
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
EDUCATION
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
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
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