Default profile banner
Vijay PrasadVP

Vijay Prasad

@vijayprasad

Data Scientist at DXC Technology / Gainwell Technologies

Bengaluru, Karnataka, India

https://bit.ly/vijay-prasad

DXC Technology / Gainwell TechnologiesInternational Institute Of Information Technology

Vijay Prasad is an experienced Data Scientist with over four years of professional experience in data science and application development. He specializes in machine learning, deep learning, and statistical analysis to drive insights in the healthcare sector. Currently, he is pursuing an Executive Post Graduate Diploma in Machine Learning and AI at IIIT Bengaluru.

Experience

Data Scientist

DXC Technology / Gainwell Technologies

Jan 2001 - PresentBengaluru

Developed Classification Machine Learning Algorithms such as Random Forest and Boosting with 10-40 million records. Set up Clustering Algorithms (K-Means and Hierarchical) to detect Disease Sub-Types and Stages. Utilised Deep Learning Algorithms (CNN, LSTM, GRU) and Pre-Trained Networks (ResNet, GoogleNet) for disease detection, achieving 95% accuracy. Composed Regression Algorithms for prediction of medical expenses and Health Care costs with 96% accuracy.

Product Developer

DXC Technology / Gainwell Technologies

Sep 2001 - Dec 2001Bengaluru

Super headed Application Development process for HealthCare System using Agile Scrum methodology across 70 sprints. Optimized the client's application by adding 5 major features and respective functionalities. Assisted end to end Application Development using .Net Framework from User Experience to Database. Devised Unit Tests and monitored Code Coverage to be greater than 90%.

Education

International Institute Of Information Technology

Executive Post Graduate Diploma

Machine Learning and AI

Jan 2001 - Present

Currently Pursuing

Dr. Ambedkar Institute Of Technology

Bachelors In Engineering

Computer Science and Engineering

Aug 2001 - Aug 2001Grade: 8.25 CGPA

Skills

Linear Regression
Classification
Logistic Regression
Naïve Bayes
SVM
Decision Tree
Random Forest
Boosting
Clustering
K-Means
Hierarchical
Neural Networks
NumPy
Pandas
SK Learn
Statsmodels
Matplotlib
Seaborn
Tensorflow
Keras
PyCaret
Pandas Profiling
Probability
Sampling
CLT
Inferential Statistics
Python
Jarvis Labs
VS Code
Git
Azure DevOps
MLFlow
AirFlow
SQL
Exploratory Data Analysis (EDA)
Data Pre-Processing