| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidate Candidate's Name
New York, NY | PHONE NUMBER AVAILABLE | EMAIL AVAILABLE | LinkedIn
EDUCATION
New York University New York, NY
Bachelor of Art in Mathematics Sep Street Address May 2024
Relevant Coursework: Fundamentals of Machine Learning, Database Design and Implementation, Data Structures, Computer
Programming, Quantitative Reasoning, Theory of Probability, Mathematical Statistics
SKILLS
Programming: Python, SQL, Tableau, Java, C++, SPSS
Methodology: ETL, Data Preprocessing, Data Visualization, Data Warehousing, Statistical Modeling, A/B Testing
Machine Learning: Linear Regression, Logistic Regression, Decision Tree, Random Forest, KNN
WORK EXPERIENCE
Moyi Tech New York, NY
Data Analyst Intern Jul 2023 Oct 2023
Developed automated Python scripts to retrieve real-time data for 500 stocks and ~2K ETFs from multiple financial sources using
web scraping techniques; conducted comprehensive data cleaning and integrated it to MySQL database for the whole team.
Filtered ETFs using time series analysis (Augmented Dickey-Fuller Test) based on autocorrelation and stationarity characteristics,
developing investment strategies for further financial modeling.
Implemented visualization tools including Grafana, Tableau, and Plotly to analyze multiple financial indicators such as EBITDA,
income, expenses, and EPS, enabling informed decision-making in investment and financial planning. Showing stakeholders all the
possible combination of portfolios to effectively inform their optimal investment decisions.
HireBeat New York, NY
Business Analyst & Market Research Intern Dec 2021 Jan 2022
Cleaned, transformed, and normalized 5K+ company data from the U.S. Bureau of Labor Statistics; identified a large customer base
for Applicant Tracking System (ATS) across sectors, e.g. scientific and technical services, administrative and support services.
Implemented data quality checks and established metadata for multiple tables using Python Pandas; managed customer data
through BigQuery and SQL to analyze job opening information across 1,200+ positions.
Conducted Porter's Five Forces Analysis to evaluate the market position of the ATS product, leveraging data-driven insights to
recommend strategic initiatives such as product differentiation and expansion of the customer base.
Developed Tableau dashboards to showcase data-driven recruitment strategies to organizational leaders, facilitating informed
decision-making and alignment with strategic goals; resulted in a 15% increase in hiring efficiency.
Allied Millennial Partners, LLC New York, NY
Data Analyst Intern Jun 2021 Aug 2021
Led end-to-end ETL processes on historical stock price data (2010-2021) for HSY in Python; visualized business and financial
data statistically, including testing seasonality and time series model assumptions.
Leveraged autoregressive models in SPSS to analyze stock behavior trends and proposed actionable insights for strategic decision-
making, e.g. identified a recurring 2.5-month cycle; advised that the stocks were overvalued and within the hold range.
Analyzed stock valuations and utilized a Multi-Layer Perception algorithm to accurately predict HSY's financial performance;
validated forecasts with real-world data in 2022-2023 with an accuracy of 80%. Presented a 12-page comprehensive report to key
stakeholders, including the company overview, ownership summary, financial highlights, and quant analysis.
ACADEMIC PROJECTS
Bank Customer Churn Prediction May 2023 Jun 2023
Preprocessed and standardized a bank customer dataset ~10K records (including age, credit history, salary, geography, and
membership status) in Python, ensuring consistency and accuracy throughout the analysis process.
Developed and evaluated multiple machine learning models (logistic regression, random forest, KNN) tailored to predict
customer churn; finalized with a random forest model which achieved AUC score of 0.85.
Conducted deep-dive analyses of feature importance to discern the primary drivers behind customer churn, guiding targeted
interventions and initiatives to mitigate churn rates effectively.
NYC Public Wi-Fi Database Design Feb 2023 Mar 2023
Cleaned NYC free Wi-Fi data of 5K+ records and architected an SQLite database, ensuring efficient data storage and retrieval
through streamlined schema and optimizing indexing, which facilitated access to relevant information.
Conducted borough-wise hotspot analysis to uncover geographical trends and patterns in Wi-Fi availability, leveraging Plotly to
create data visualizations that highlighted disparities in Wi-Fi coverage across NYC boroughs.
House Price Prediction Jan 2023 Mar 2023
Performed data preprocessing and engineered a stacking ensemble learning model in Python, using ElasticNet and LightGBM as
the primary layer and Lasso Regression as the secondary layer, achieving a Root-Mean-Squared-Error (RMSE) of 0.119.
Enhanced model performance using hyperparameter tuning using Python Hyperopt, resulting in a 20% improvement in accuracy.
|
