Data Science Machine Learning

Zihan Zhao

857-***-**** ****.***@************.*** https://www.linkedin.com/in/zihan-luna-zhao/ Open to Relocation EDUCATION

Northeastern University Boston, MA

Master of Science, Data Science (GPA: 4.0) Graduation Date: May 2024 Relevant Coursework: Database Management, Data Mining, Machine Learning, Data Visualization, Algorithms Boston University Boston, MA

Bachelor of Arts, Mathematics Statistics (GPA: 3.61) Graduation Date: Jan 2021 Relevant Coursework: Data Science in R, Mathematical Statistics, Probability, Python, Database Management in SQL TECHNICAL SKILLS

Programming Languages: SQL (MySQL), Python (Pandas, Scikit-learn), R, SAS Data Analytics: ETL, Tableau, PowerBI, MongoDB, JIRA, GitHub, Microsoft Excel, Google Analytics, Business Analytics Data Science: Machine Learning, A/B Testing, Deep Learning, PyTorch, TensorFlow, NLP, Text Mining, Microsoft Azure Soft Skills: Problem-Solving, Team player, Communication & Collaboration, Innovative mindset, Quick Adaptation PROFESSIONAL EXPERIENCE

Model Earth, Data Scientist, Remote Aug 2024 – Now

● Engineered an ETL pipeline with Python for efficient preprocessing and validation of emission data, improving data integrity and boosting processing efficiency by 8%. Simplified data handling for improved analytics.

● Developed interactive web visualizations of emission data using React.js and HTML, enhanced the user interface with a custom-designed side navigation bar, improving data presentation and site usability. CREWASIS, Data Scientist Intern, New York May 2023 – Sep 2023 Project 1: Barbie Financial Performance Analysis using NLP and Machine Learning Modeling

● Led a group of 4 to build an ETL Pipeline, collected and cleaned 6 GB media text data using Python (nltk), unveiling cost and revenue structures, identified trends in Barbie’s financial performance, and provided 5+ actionable insights.

● Collaborated with the marketing team to analyze Barbie's business model, leveraged NLP (LDA) and Exploratory Data Analysis (Pandas, NumPy, Matplotlib, Seaborn, Word Cloud) to decode customer behavior and preferences.

● Engineered a key performance indicator system and visualized business performance using Python to monitor financial performance and providing data-driven insights to support future resource allocation strategies.

● Devised targeted marketing strategies and created 10+ Tableau dashboards; presented findings to team lead and showcased on company website, resulting in a 4.3% increase in content engagement. Project 2: Attribution Analysis of Retail Website Membership Decreasing

● Organized a group of 4, applied the 4P marketing model and conducted an in-depth Attribution Analysis using SQL (MySQL) and Excel to identify and rectify a 12% downturn in retail website membership.

● Utilized Python for linear regression to identify decisive factors influencing member retention.

● Analyzed user behavior pathways with Python, employed k-means and DBSCAN clustering to segment users into 5 distinct groups, uncovering characteristics and identifying improvement areas.

● Conducted funnel analysis to identify low conversion rates from website visits to product views, pinpointing product presentation and recommendation algorithms as key issues.

● Proposed strategic enhancements based on analysis findings. Delivered 2 detailed presentations to the engineering and marketing teams, resulting in a 7% increase in conversion rates. NACEA, Analyst Intern, Alhambra Jul 2020 – Sep 2020

● Unveiled revenue growth factors for a travel website during the COVID-19 pandemic by dissecting business models and segmenting revenue, resulting in a 13% increase in quarterly revenue.

● Visualized KPIs including user growth, conversion rates, and purchase frequency using Python (Matplotlib), identifying a significant increase in new users opting for short-term tours, leading to targeted strategic adjustments.

● Conducted a user persona analysis and utilized K-Means clustering to identify preferences and price sensitivity, mapped insights to product offerings and resulting in 5+ actionable business strategy adjustments.

Contact this candidate