Welcome to Swapnesh Tiwari's Projects

The Information which we will be using in this project is titled "AutoML Medical Study Data," which focuses on the performance of an automated machine learning (AutoML) system in a medical study context. 

 In today's dynamic business landscape, effective collaboration among team members is essential for achieving collective goals. Our focus is on designing dynamic and user-friendly dashboards that facilitate seamless communication and coordination across diverse teams. Through intuitive data visualization and interactive elements, our collaborative dashboards empower team members to access real-time insights, share valuable information, and work together efficiently. By combining visual clarity with actionable data, we're shaping an environment where cross-functional teams can align their efforts, make informed decisions, and drive impactful outcomes. 

 "This comprehensive dataset encompasses 57 distinct variables and a staggering 101,767 observations, comprising a blend of categorical, numerical, and geographical variables. Through the rigorous analysis of this diabetes data, medical professionals have the potential to pioneer innovative methods for both testing and treating patients. The insights garnered from this data serve as an invaluable resource, enabling doctors to deliver optimized, evidence-based care, which is paramount in enhancing patient outcomes."

 The dataset contains comprehensive details about trees, spanning from May 2015 to September 2016, with data on their health, issues, map illustrations, and additional information. For the purposes of this project, we will utilize the dataset from the 2015-2016 New York City Street Tree Census. 

 
Successfully merged, recoded, and rearranged datasets from five distinct regions, generating analytical results that facilitated data analysis with an 85% model accuracy rate, enhancing the predictive reliability by 15%. 

 Applied Quantitative analysis showing 90% of people having higher medical cost with higher level of infection severity.
Predicted medical costs in reference to the length of stay at the hospital and age of the patient using R and Predictive analysis. 

 "Developed and implemented a comprehensive ICD (International Classification of Diseases) database system for NARF (National Association for Research & Funding) by utilizing open-source SQL (Structured Query Language) technology and a DB (Database) browser, thereby creating a structured platform for efficient management and querying of medical codes and related information." 

 "In June 2022, we compiled an XLSX (Microsoft Excel file) data set, quantifying three distinct variables for a total of 120 observations. 

 In the 21st century, Jobs have been one of the most important aspects for every individual to survive and strive, some jobs are designed in a way it is comfortable for people to work. 

 In today's century car is one of the number one media of transport, cars sales have increased from the date it was first ever manufactured. According to Statistica most of the automobile industry produces cars that are used commercially or privately. 

 Analyzed various data from clinical trials, surveys, and interviews on various metabolic diseases with a result of 90% of population having co-relation to hypertension and hypercholesterolemia those not taking maintenance medications. 

 This is a case of Charlie a 25-year-old male, single, Fillipino, Roman Catholic, from Paquibato Dist, Davao City. He was home schooled, currently not employed, previously diagnosed on September 2nd, 2019, as schizophrenia in IPBM hospital.