
Qihang Chen
Project Manager Intern

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About me
BU College Of Data Science, Class Of 2025
Education

美国波士顿大学
2022 - 2025Bachelor of Science - BS Data Science
Boston University
2022 - 2025Bachelor of Science - BS Data ProcessingActivities and Societies: Boston Chinese Student Association An ambitious and driven data science student at Boston University, pursuing a Bachelor of Science in Data Science. Equipped with a strong foundation in Python, data analysis, machine learning, and business analytics through relevant coursework. Gained valuable hands-on experience through internships and research projects, demonstrating proficiency in web scraping, data cleaning, data analysis, visualization, and predictive modeling.
Experience

Boston Youth Symphony Orchestras
Jun 2022 - Aug 2022Project Manager InternConducted linear regression analysis using Python and scikit-learn to predict organizational expenditures, achieved an 88% accuracy rate, and reduced prediction errors by 3%Analyzed and identified the key factors influencing the expenditure based on trend and variance analysis, and proposed cost-saving suggestions and actionable solutions

Fujian Province Big Data Group Co., Ltd
May 2023 - Aug 2023Data Science InternUtilized the web scraping tool Octopus to gather 3,000 data columns from various bidding platforms that cover the financial, securities, and insurance industries over the past five yearsCleaned and organized the retrieved information and data with Python especially Pandas and NumPy including handling missing values and removing duplicates, and achieved 98% accuracy and consistency across all data setsCalculated the frequency of specific keywords in the dataset, performed text analysis to derive industry trend insights from textual data, and produced weekly analytical reports for supporting investment decision Show less

The Han Lab, Parkinson's Research, Boston University
Sept 2023 - Dec 2023Research AssistantContributed to a project aimed at studying the effects of electrical currents in different brain regions, providing insights into the relationship between electrical currents and brain function, and advancing research in the field of neuroscienceProcessed over 12 EEG data samples from mice using MATLAB and Python, implementing noise reduction, anomaly correction, and missing value imputation techniques to enhance data quality and accuracy, achieving an accuracy rate of 87%Performed frequency distribution analysis of electrical currents across various brain regions to explore their effects on brain function and activity, and created charts and graphs with Matplotlib and Seaborn to visualize impacts Show less

Office Of Returning Citizen, Boston Mayor's Office
Jan 2024 - May 2024Data AnalystParticipated in a project focused on the societal reintegration of ex-offenders, employing statistical and data-driven approaches to measure the impacts of rehabilitation programs within the communityUtilized Python and libraries including Pandas, NumPy, and scikit-learn to process and analyze over 50,000 records of ex-offenders like demographics, criminal history and employment records, and increased data accuracy from 68% to 98%Performed data analysis and visualization with Python tools like Matplotlib and Seaborn, as well as Tableau, and developed dashboards displaying key reintegration metrics such as employment and recidivism ratesConducted T-tests for validation, and delivered weekly data analysis reports highlighting a reduction in recidivism and a 6% increase in employment rates over two years Show less

Kaggle Data Science Competition
Feb 2024 - Feb 2024Data AnalystLed a Python-based predictive analysis project on the Kaggle platform within 3 days, focusing on the survival outcomes of the Titanic disaster using the Titanic passenger dataset including attributes such as age, gender, and ticket classEngineered features and optimized the dataset using Python libraries including Pandas, NumPy, and Scikit-learn, and implemented a Random Forest machine learning model for classification and prediction tasksConducted model training and tuning on the dataset with cross-validation techniques to ensure robust generalization capabilities, achieving predictions on unseen dataEmployed the trained Random Forest model to predict passenger survival outcomes, achieving an accuracy rate of 82% Show less

Synergies Intelligent Systems, Inc.
May 2024 - nowData Analyst
Licenses & Certifications
- View certificate

Foundations of Data Science
GoogleJun 2024 - View certificate

Python for Data Science, AI & Development
IBMJun 2024 - View certificate

Python for Data Science, AI & Development
IBMJun 2024
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