Rachel Cheng

Business Analytics Enthusiast | Turning Insights into Impact in a Data-Driven World | Questrom MSBA '25

Boston, Massachusetts, United States

About

Hi, I'm Rachel, currently pursuing my Master of Science in Business Analytics at Questrom School of Business, Boston University. My passion lies in optimizing efficiency by leveraging data-driven approaches, solving complex business problems by analyzing data, and identifying trends or patterns that can lead to actionable insights. ⚙️ Skills & Expertise: -Programming & Data Analysis: Python (Pandas, NumPy, Seaborn, Scikit-learn, Matplotlib), SQL (Window Functions, CTE, Joins, Query Optimization), R -Data Visualization & Reporting: Tableau (Dashboards, Storytelling), Power BI, Microsoft PowerPoint, Excel (Pivot Tables, VLOOKUP, Macros) -Machine Learning & Statistical Modeling: Regression Analysis, Classification, Clustering, Time Series Forecasting (ARIMA, LSTM), A/B Testing, Hypothesis Testing -Database Management: SQL Server, MySQL, Google BigQuery -Business Intelligence & Analytics: Google Analytics, CRM Analytics, Marketing Analytics, Customer Segmentation, KPI Dashboards -Optimization & Strategy: Business Process Automation, Workflow Optimization, Revenue & Market Trend Analysis I am always excited to tackle real-world business challenges using data-driven strategies and keen on continuous learning in the fields of analytics, AI, and business intelligence. Let’s connect! 🚀

Experience

  • Business Analysis and Marketing at FounderWay
    Sep 2024 - Jan 2025 · 5 mos

    Conducted data-driven competitor analysis on 100+ AI co-pilot companies using SQL and Tableau, identifying market trends, features, and opportunities to inform strategic decisions. Developed dashboards and visual reports in Tableau to present insights on key metrics, enhancing decision-making for marketing and product strategies. Utilized advanced analytics to evaluate marketing performance, achieving a 42.2% increase in search appearances and a 36% boost in web traffic. Applied predictive modeling techniques to analyze campaign data, optimize resource allocation, and improve engagement strategies for new product launches.

  • Business Analyst Intern at McKinsey & Company
    Jun 2022 - Sep 2022 · 4 mos

    -Analyzed target companies across industrial and technology sectors with investments in Augmented Reality (AR) experience. -Collaborated with a group of experienced professionals on valuations of the target companies -Presented analysis into Tableau Dashboards and PowerPoint slides -Submitted a market entry feasibility report to present the profitability of AR development