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real-world messy problems . independent analysis and impact

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Projects

🤖 Machine Learning

::Descriptions::

👁️ .:Diabetic Retinopathy

Through Kaggle's Diabetic Retinopathy Detection competition, 35,126 high-resolution retina images were used in order to create an automated analysis system that assigns a score to images rating presence of diabetic retinopathy or not. Results from the model returned 82% Training Accuracy, 80% Testing Accuracy, 88% Precision and 77% Recall. Results were very good due to image pre-processing. For patients suspected with Diabetic Retinopathy, this is implemented to provide accurate and efficient diagnosis.

.:Lung Cancer Detection

Did some data exploration and data preparation for this dataset.

.:Nuclei Viz

Detected nuclei in order to expedite cures. Nuclei were good to use because they can help detect a biological dysfunction immediately.

🚗 .:UBER

-UberX and UberXL Cancellation Predictions based on Fare/Price Setting

-UberEATS Time Series Forecasting

🏥 .:Flatiron Health

-Helping Cancer clinic understand how its cohort is given antineoplastic (anti-cancer) drugs

💻 .:Healthline Media

-Website Analytics - Traffic and Audience Analysis

💊 .:NURX

-E-commerce Telemed Conversion Funnel Analysis

🚲 .:Postmates 🌮

-New NYC Market Analysis with Geospatial Heatmap

⌚ .:Touch of Modern

-E-commerce Consumer Behavior Analysis

💹 .:6sense

-SQL queries leveraging Contact, Company and Interaction tables as well as A/B Test Experiment Design

🔨 .:Thumbtack

-Search Result Quality and Service Fee Recommendation

🚚 .:TaskRabbit

-2-sided Market Analysis and suggested improvements to increase supply and demand sides

💻 🏥 .:eHealth, Inc.

-e-commerce U.S. Health Insurance Market Analysis with focus on data wrangling and data visualization

👧 💊 🏪 💻 .:Curology

-telemedicine, personalized skin care product usage/customer retention

🏥 .:Quest Analytics

-provider directory data analysis and metrics development for accuracy reports

🏥 💻 .:Doximity

-cohort analysis and profile rank new product feature development for online networking service for medical professionals

🍆 🍐 👜 .:Instacart

-EDA (Part 1), feature engineering (Part 2), built models and model performance comparisons (Part 3)

🚚 🍎 .:Cheetah, Inc.

-Customer Segmentation analysis for Revenue Optimization (SQL and Python)

🧑‍🏫 .:Desmos

-Defining product launch success metrics in Ed Tech

💊 .:WithMe Health

-Data parsing on pharmacy claims data using SQL and JSON

📈 .:Short-Term Household Energy Consumption Forecasting

-Trended and partitioned data with 80/20 split to create multivariate time series model with hour time-steps. Used Facebook's Prophet to build forecasting model that produced RMSE of 0.00033

📉 .:Shipt

-Hierarchical Time-Series Forecasting for Supply and Demand