Reviews

Roosevelt University

M.A. Biomedical Science '24

B.S. Data Analytics '23

B.S. Biology '07

Data professional with experience building analytical systems, dashboards, and predictive models. Strong background in SQL, Python, ETL workflows, and translating complex datasets into actionable insights.

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(Java, SQL, REST APIs)

Overview:
Developed a data-driven application enabling users to submit predictions, track outcomes, and evaluate performance trends across a season.

Analytics Impact:

• Built structured databases to store weekly game, team, and user data
   
• Created ranking and scoring logic to evaluate prediction accuracy
   
• Enabled historical trend analysis across weeks and players
   
• Automated calculation of standings and performance metrics
   

Skills:
SQL • Data modeling • Metrics design • Backend analytics • Data integrity

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(Python, NumPy, Visualization)

Overview:
Implemented and visualized ranking algorithms to measure influence within network graphs.

Analytics Impact:

• Modeled iterative convergence of ranking scores
   
• Tuned damping factors to observe sensitivity
   
• Produced visual outputs to interpret node importance
   
• Demonstrated understanding of matrix operations & large-scale ranking systems
   

Skills:
Graph analytics • Numerical methods • Algorithmic thinking • Visualization

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(Python, Pandas, Matplotlib)

Overview:
Built an analytics environment for exploring infection trends and comparing real-world datasets.

Analytics Impact:

• Cleaned and standardized public health datasets
   
• Generated time-series visualizations of cases & growth rates
   
• Compared simulated vs. actual transmission patterns
   
• Enabled interactive exploration of trend scenarios
   

Skills:
Data cleaning • Time-series analysis • Exploratory data analysis (EDA) • Public data

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(Python, APIs, Pandas)

Overview:
Developed a market intelligence tool computing technical indicators for trading and investment evaluation.

Analytics Impact:

• Pulled live financial data from APIs
   
• Calculated RSI, MACD, Bollinger Bands, moving averages
   
• Visualized momentum and volatility signals
   
• Supported strategy testing and performance comparison
   

Skills:
Financial analytics • API ingestion • Feature engineering • Data visualization

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(Python, Scenario Simulation)

Overview:
Created quantitative tools to evaluate debt payoff strategies and long-term financial outcomes.

Analytics Impact:

• Modeled snowball vs. avalanche repayment methods
   
• Built amortization and ROI projections
   
• Forecasted credit utilization improvements
   
• Enabled data-driven financial planning decisions
   

Skills:
Optimization • Forecasting • What-if modeling • Decision analytics

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(Python, SQL)

Overview:
Designed repeatable workflows to transform raw data into analysis-ready formats.

Analytics Impact:

• Extracted data from APIs and structured sources
   
• Performed normalization & validation
   
• Built datasets for downstream reporting
   
• Improved reliability and automation of analytics tasks
   

Skills:
ETL • Data wrangling • Pipeline automation • Relational storage

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(scikit-learn, TensorFlow/PyTorch)

Overview:
Applied supervised learning to structured datasets for classification and forecasting.

Analytics Impact:

• Engineered and selected predictive features
   
• Evaluated model accuracy & error metrics
   
• Visualized outcomes for interpretability
   
• Compared model performance across approaches
   

Skills:
Predictive analytics • Statistics • Model validation • Experimentation