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Data Scientist

Location:
Boston, MA
Posted:
December 01, 2024

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Resume:

FAHIM UDDIN

670-***-**** ********@**.*** linkedin.com/in/fahimuddin489/

EDUCATION

Boston University Boston, MA August 2019 – Dec 2025 B.S. Computer Science, M.S. Data Science

Relevant Coursework: Data Structures, Computer Systems, Geometric Algorithms, Combinatorics Structures, Probability Computing, Calculus, Statistics, Functional Programming, Red Hat System Administration Boot Camp

(Linux), Mobile-App Development, Networking, Red Hat OpenShift AI WORK EXPERIENCE

Junior Data Scientist - Commonwealth Healthcare Corporation Saipan, MP 02/2023 – 08/2024

• Increased each office by revenue by 30% by utilizing PowerBI to extract data from the PowerBI cloud and create requested reports and dashboards to facilitate Public Health, Corporate Quality and Performance Management, Centers for Disease and Control Prevention, Epidemiology and Laboratory Capacity for reporting with data extraction and pipeline development

• Grew 20% of more revenue for CHCC health departments, such as Family Care Clinic, Radiology, Oncology, and Hemodialysis for respective head nurses to track the number of booked, missed, or cancelled appointments, through statistical POWER BI Dashboards, as it replicated the Revenue Cycle Management Web Application for CHCC health departments

• Develop automated python scripts to clean 837 files using the following libraries: Pandas and 835 parsers

• Improved the billing priority by 10% through a designed predictive model for disease based on the Purpose of Visit notes and ICD-10 diagnosis codes using the following the libraries: NLTK and Spacy

• Utilized MSSQL to create views and stored procedures for departments, such as Public Health, Corporate Quality & Performance Management, and Epidemiology and Laboratory Capacity (ELC)

• Worked with epidemiologists from CDC to help create statistical models and reports to assist them on their syndromic surveillance for any health events based on tracking a patients’ symptoms

• Significantly reduced 90% of missing HL7 data by creating an ETL pipeline to retrieve and process HL7 syndromic data with object-oriented python code and bash scripting

• Collaborated with the Hospital Consumer Assessment of Healthcare Providers and Systems to automate the discharge report through python SFTP scripts on a monthly basis

• Worked on more than 1TB of HIPAA patient data to identify any payment adjustments and charge total trends

Software Engineer Intern - BU Spark Program Remote 09/2021 – 01/2022

• Worked with three other interns to implement to utilize a mobile application by using React Native voice recognition library for IOS and Android that allows to utilize a Text-to-Speech app

• Boosted the mobile app engagement by 25% through designing the UI components with React JS, such as the login and crowdfunding page

• Web scrape data using Python’s BeautifulSoup and Request library to retrieve scholarship data from other webpages for the MySQL database

Data Analyst Intern - Research Corporation of University of Hawaii Remote 08/2021 - 02/2022

• Cleaned 80% of 2019 to 2021 CSV healthcare transmittal claims by utilizing Pandas and Numpy

• Develop data pipelines in Python to continuously pull data from the CSV files and populate the MS SQL Server, all by using the following libraries: Pandas, SQLAlchemy, and Requests

• Uncovered 95% of missing information in 2019 to 2021 electronic health care claims through exploratory data analysis and machine learning models by using the libraries: Scipy, Sklearn, Numpy

• Developed data pipelines in Python to pull data from to CSV files and populate the MS SQL Server, all by using the following libraries: Pandas, SQLAlchemy, and Requests Data Science Intern - Office of the Mayor of Saipan Saipan, MP 08/2020 - 05/2021

• Utilize Numpy and Pandas to perform data visualizations in order to track the deliveries of street numbers per district and village in order to report the monthly progress of deliveries to local agencies

• Primarily utilized Numpy to showcase statistical models in order to improve cost of fuel for street deliveries by 15%

SKILLS

C, Python, Java, JavaScript, MATLAB, R, C#

React.js, Git, Docker, HTML, CSS, Bootstrap, NumPy, Matplotlib, Gitlab, Pandas, C#, MySQL,PowerBI, Flask, MongoDB, Microsoft SQL Server, PySpark, Node.js, Linux, Object-Oriented Programming, AWS



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