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Projects

Discover how my real-world applied machine learning and data science technology helps millions of users live wealthier and healthier lives below.

PROJECT

My goal is to help buyers and sellers understand the increasing economic value of owning a condo home in Manhattan, NY using housing data collected from Manhattan, NY.

Explore on Youtube

Explore on Youtube

The Best Supervised Learning Algorithms for Computing Future Condos Prices in Manhattan, NY

PROJECT

My main goal is to help Brooklyn buyers and sellers predict the economic value of owning a single family homes by integrating 12 months of real estate data and supervised learning algorithms.
The Best Supervised Learning Models for Predicting Single Family Real Estate Prices in Brooklyn, NY

PROJECT

My main goal is to help UC-Davis buyers and sellers predict the economic value of condos by integrating 12 months of real estate data gathered from UC-Davis and supervised learning algorithms.
The Best Supervised Learning Algorithms for Computing Future Condos Prices in UC Davis, CA

PROJECT

My main goal is to help Fremont buyers and sellers predict the economic value of single family homes by integrating 12 months of real estate data and supervised learning algorithms.
The Best Supervised Learning Models for Predicting Single Family Real Estate Prices in Fremont, CA

PROJECT

My goal is to help buyers and sellers understand the increasing economic value of owning a single family home in Plymouth, MA and housing data collected for Plymouth, MA.

Explore on Youtube

Explore on Youtube

Real Estate Value: Data science for Plymouth, MA single-family homes data

PROJECT

My main goal is to help UK residents, hospitals and treatment centers predict the total number of patients cases, hospitalizations and fatalities by integrating multi-modal hospitalization data and supervised learning algorithms.
United Kingdom (UK) London: COVID-19 Prediction with Supervised Learning Algorithms 

PROJECT

My main goal is to help NYC residents, hospitals and treatment centers predict the total number of patients cases, hospitalizations and fatalities by integrating multi-modal hospitalization data and supervised learning algorithms.
New York City: COVID-19 Prediction with Supervised Learning Algorithms 

PROJECT

My main goal is to help Chicago residents, hospitals and treatment centers predict the total number of patients cases, hospitalizations and fatalities by integrating multi-modal hospitalization data and supervised learning algorithms.
Chicago: COVID-19 Prediction with Supervised Learning Algorithms 
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Research Disease Areas - Data Science Projects Results

We work across multiple therapeutic areas to compute and uncover biological insights to drive the discovery and development of the next generation of medicines. From the inception of a therapeutic through early clinical development, our team collaborates across scientific disciplines and organizations in support of our mission to enable technology and data that improves and extends peoples’ lives.

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PROJECT
 
METALIFE: Data science for cardiovascular and metabolic diseases data

My goal is to help medical clinicians comprehend the relationships of treatment and therapy data collected from  heart disease patients to improve benefit-risk profile of treatments for patients.

PROJECT
 
Benefit-risk profile computation and visualizations for cancer patients

My main goal is to develop classification algorithms for benefit-risk treatment segmentation and predictive modeling of cancer with clinical and genetic data.

PROJECT
 
Better Models for COVID-19 Predictions

I develop supervised learning algorithms to improve monitoring COVID patients and predict infection rates.

PROJECT
 
Better Models for United States Procedures: Data science for medical surgery data

I developed classification algorithms for 2,500+ United States hospitals top 100 frequently billed procedures to help understand the cost of healthcare services. High healthcare costs is not just a nuisance for patients: It’s also a public health hazard and bad news for the economy.

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PROJECT
 
METALIFE: Data science for cardiovascular and metabolic diseases data

My goal is to help medical clinicians comprehend the relationships of treatment and therapy data collected from  heart disease patients to improve benefit-risk profile of treatments for patients.

PROJECT
 
Benefit-risk profile computation and visualizations for cancer patients

My main goal is to develop classification algorithms for benefit-risk treatment segmentation and predictive modeling of cancer with clinical and genetic data.

PROJECT
 
Better Models for COVID-19 Predictions

I develop supervised learning algorithms to improve monitoring COVID patients and predict infection rates.

PROJECT
 
Better Models for United States Procedures: Data science for medical surgery data

I developed classification algorithms for 2,500+ United States hospitals top 100 frequently billed procedures to help understand the cost of healthcare services. High healthcare costs is not just a nuisance for patients: It’s also a public health hazard and bad news for the economy.

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OMSworks develops cutting-edge ai models and systems that improves early detection, disease classification and predictive analytics reporting.  
You'll save time and have insights on your targeted population within a few weeks.
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