Data Analyst Intern
Resume:
JOSEPH CHAN
Data Analyst Intern
******.****.***@*****.***
https://www.linkedin.com/in/joseph-chan-524j/
https://www.kaggle.com/JosephChan524
EDUCATION
FALL 2019 – FALL 2020
STONY BROOK UNIVERSITY, COLLEGE OF APPLIED MATHEMATICS & STATISTICS Master’s Degree in Statistics Major GPA: 3.70
FALL 2015– FALL 2018
STONY BROOK UNIVERSITY, COLLEGE OF ENGINEERING AND APPLIED SCIENCES Bachelor’s Degree in Applied Math Science Cumulative GPA: 3.59 Dean’s List 2017 – 2018 Major GPA: 3.82
EXPERIENCE
FEBRUARY 2020 – PRESENT
DATA ANALYST INTERN, PUBLISHING CLEARING HOUSE
Used SQL and Excel to ensure data quality and integrity. Identified and eliminated duplicates and inaccurate data records. Ensure and validate variable data types to be further used in machine learning models. Applied statistic modeling in python through machine learning algorithms (Random forest and LightGBM) to predict customer purchasing behavior.
Utilized AI Platform Notebook to build a script to profile and flag variables that change over time. Reviewed and spotted mistakes in various python scripts to ensure models and metrics performed correctly. FEBRUARY 2019 – PRESENT
COMMUNITY HABILITATION, RAYIM OF HUDSON VALLEY
Provide direct management and care to individuals with special needs. Assist client with daily living skills such as money management, grocery shopping and eating meals. Encourage and guide individuals to speak with others to help build communication skills. Connect clients with community services and resource agencies to expand their hobbies. FEBRUARY 2018 – AUGUST 2019
CASHIER, LIQUOR & WINE SPIRIT
Manage inventory and organized products around the store. Collect payments and bag purchases for customers.
Communicate with customers while also suggesting products. SKILLS
• Elementary knowledge of SQL (Query tables using statements such as SELECT, FROM, ORDER BY, etc.)
• Intermediate knowledge of Python (Pandas, NumPy, SciPy, LightGBM, and Scikit-Learn)
• Comfortable with data visualization libraries in Python (Matplotlib, Seaborn, and Plotly)
• Intermediate knowledge of R and R-markdown (caret, MASS, rpart, and MICE)
• Intermediate knowledge of Excel (SUMIF, COUNTIF, VLOOKUP, and Pivot Tables)
• Strong background in statistics and applied math with a focus on statistical models.
• Exceptional people skills with an upbeat, outgoing, and cheerful outlook.
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