VIGNESH CS

MSc Data Science


Mobile : +91 - 8056295120Email : csv740@gmail.com


Vignesh CS

DATA SCIENCE SKILL SET

Programming languages : R Programming,Python, HTML, CSS, SQL
Libraries : R - ggplot2, survival, GGally


Survival Ananlysis Modeling:

A Display of the Survival Ananlysis Model developed as part of my Data Scientist Journey.
Click on the Model descriptions to view the complete code, analysis, model and findings.


Kidney

Kidney Surgery Analysis
Cox Proportional Hazard Model

Compared the Kidney surgery patients using the COXPH model and analyzed the interaction of the categorical covariates and estimated it's benefits and benefits of Stratification


Melanoma

Germany Breast Cancer patients Analysis
Genelarized linear model vs Cox PH model with constant baseline Hazard(λo)

Comparing the breast cancer patient using the GLM and CoxPH model and then finally diagnosing the full COX model using residuals


Melanoma

Melanoma patients Analysis
Weibull AFT Models with Spline: B-Splines & P-Spline

Comparing the Melanoma patients but using Non- and Semi Parametric approach and come to conclusion that Males are much affected than the Females and the Survival rates of Males goes steeply downwards than compared to males, and Visualized using Spline Semi- parametric models


Un-employment

Umemployment Analysis Between Genders
Kaplan- Meier Estimation, 95% CI and Log-rank Test

By comparing both the gender we could see that which group of gender has higher chances of getting the job back after being unemployed for a period of time.


Leukemia

Leukemia patients Analysis
Exponential model vs Weibull Model

By comparing the patients who take 6-MP vs Placeba with 2 type of model and we come to conclusion that patients who are taking 6-MP treatment has higher surviving rate than Placeba treatment, and both the model assumptions are achieved, whereas only in weibull model we could see a slight violations.


LiverResection

Liver Resection Analysis
Non- and Semi- Parametric

Stitistical Analysis of the liver data using the Non-Parametic and Semi-Parametric estimation


Tools and IDE

Visualization tools : Python SeaBorn,Python Plotly, R ggplot, R ggplot2

ERP tools : JD Edwards

IDE : Atom, Microsoft Webmatrix, Anaconda, Pycharm, R Studio