Data Analyst / Scientist

Sara Maller

Data Analytics Professional

[1929.568.0337] • [[email protected]] • [Remote Ready]

PROFESSIONAL SUMMARY

Detail-oriented and analytical Data Science professional holding a Bachelor of Science in Data Science. Proficient in machine learning algorithms, constructing advanced predictive models, and managing complex relational databases. Experienced in translating high-volume datasets into strategic insights utilizing modern visualization tools, statistical methodologies, and programming languages. Eager to leverage Python, R, and SQL expertise to drive data-driven decisions.

PROFESSIONAL EXPERIENCE

Data & Analytics Consultant | Sorotzkin United (June – July 2026)

• · Cleaned, structured, and organized large datasets to build an accurate machine learning model for apartment price prediction.
• · Managed raw data pipelines, ensured data integrity, and transformed messy information into reliable reporting, culminating in a predictive data system actively used by the organization today.
• · Delivered a Zoom presentation of the findings and data systems directly to organizational leaders

EDUCATION

Bachelor of Science in Data Science

Saint Peter’s University

TECHNICAL SKILLS & QUALIFICATIONS

Programming Languages: Python (NumPy, PyTorch, and Pandas), R, SQL, Excel

Machine Learning & AI: Artificial Intelligence, AI Agents, Supervised and Unsupervised Learning, Cross-Validation, Data Mining, Statistics

Databases & Architecture: Relational Database Management Systems, SQL Server, Oracle, Stored Procedures, Triggers, Complex Window Functions, SQL Business Analytics

Data Visualization & Analytics: Power BI, Tableau, Advanced Excel, Metrics Dashboards

Visualization & Domains: Tableau, Power BI, Advanced Excel, Biomedical Analytics

KEY PROJECTS & IMPLEMENTATION

• · Cryptocurrency Capstone & Back-testing: Built a quantitative research framework featuring automated API scripts and out-of-sample alpha back-testing.
• · Digital Asset Risk Analysis: Analyzed historical market metrics to model maximum drawdown risk variables, compiled extensive bibliographic research, and generated quantitative insights.
• · Biomedical & Quantitative Research: Applied rigorous statistical and data mining methodologies to analyze complex biomedical datasets, extracting actionable quantitative insights.
• Database Optimization: SQL optimization: Engineered PIVOT, LAG, and stored procedures.
• · Interactive Metrics Dashboards & BI: Designed visual dashboards using Tableau, Power BI, and Advanced Excel with custom conditional formatting and statistical summaries.