Project Description

Extract the required entities like Account Number, Vendor Name, Total Amount, Net Amount, GST, etc... from scanned invoices using Stanford NER

Roles & Responsibilities

• Project Management, Client Interaction, Gathering Business requirements, provide high level design solutions.

• Analyze the types of invoices of different vendors and extracted the needful information from the document for the development of the model for cross validation of the future models.
• Reinforce the quality of scanned invoices using ImageMagick.
• Pulling out contextual text from image using Tesseract OCR.
• Flourish and training machine learning model which can identify the required fields from input documents applying Stanford NER.

NLP

Fraud Detection

Health Care

 Description

Predict and Forecast the  Home Automation Tools & office  Automation Devices &  Current Usage  using AI & ML

Roles & Responsibilities

• Project Management, Client Interaction, Gathering Business requirements, provide high level design solutions.
•  IOT data from Azure to get the data from Log and Devices.
• Prepare /Clean  Data and Data Mining
• Based on   variable   type perform Univariate /Bivariate /Multivariate analysis, find pattern, plots relation among them.
• Prepared Technical Speciation Document with the analyzed data, plots and proceed for model building.
• Build various parametric model (Time series, Lasso/Ridge Regression, Neural Network etc.) .
• Compare various models and select the champion model for Prediction.
• Conduct meeting with business, onshore-offshore coordination on daily basis.

Project Description

Detect whether the a person is likely to get Kidney , Diabetes and Rheumatoid arthritis  Disease using AI & ML

Roles & Responsibilities

• Project Management, Customer Interaction, Gathering Business requirements, provide high level design solutions.
• Using Synthea tool get the demographics of patients.
• Prepare /Clean  Data and Data Mining
• Based on   variable   type perform Univariate /Bivariate /Multivariate analysis, find pattern, plots relation among them.
• Prepared Technical Speciation Document with the analyzed data, plots and proceed for model building.
• Build various parametric model (Logistic Regression, Neural Network etc.) and Non-parametric model (e.g. Decision Tree, Random Forest)
• Compare various models and select the champion model for Prediction.
• Conduct meeting with business, onshore-offshore coordination on daily basis.
• Always delivered project tasks on time with high quality.
• Assist other team members when they need any assistance.