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.

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

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

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

Recommendation of health life Insurance Policies and forecast the sales Using Machine Learning Analyzing business processes and equip design solutions Prepare /clean the Data Prepared dash boards, 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 K means model for segmentation of customer age clusters. Build Recommendation Engine Model for policies. Build gradient descent model for predicting sales

Forecasting the performance of Radar Sensors & ECUs Using AI & ML Analyzing business processes and equip design solutions Reconcile the data from sensors and CAN Prepare /clean the Data Build Gradient Descent Model ,Logistic Regression Models

To delivers highly customized and tailored solutions to help high net worth individuals with the many complexities they face by leveraging all aspects of investment banking capabilities. It addresses every facet of wealth management from investment management and brokerage to tax and estate planning, credit, capital raising, and specialty wealth advisory services Random sampling of accounting data and prepare representative sample for analysis; making sure the sample is not bias. Check of missing values in the data and if any treat them accordingly. Based on variable type (Categorical /Numerical) perform Univariate /Bivariate /Multivariate analysis, find pattern, plots relation among them. Apply various statistical concepts like R-square, adjusted R-square, p-value for variable selection (Forward /Backward /Stepwise approaches). Prepare Technical Speciation Document (TRD) with the analyzed data, plots and proceed for model building. Build various parametric model (Linear /Logistic Regression,) and Non-parametric model (e.g. Decision Tree, Random Forest) Compare various models and select the champion model for Prediction. Use the champion model to score new data to identify fraudulent transactions. Segmentation to group homogeneous items together Build Gradient Descent Model ,Logistic Regression Models

Vantiv is a leading card payment processor Services, POS (Point of sale) and related Technology solutions. Analyzing business process and functionality reviews throughout the development process with stakeholder. Interacting with the Clients, clarify and refine requirements, guiding the architecture and design of applications/solutions. Mapping requirements & providing them best solutions involving evaluation and definition of scope of project and finalization of project requirements. Suggesting technology-based solutions for enhancing functional efficiency and achieving business excellence. Participating in daily Agile / Scrum Stand-up, Biweekly Sprint Planning and Retrospective Sessions and updating the team on status of upcoming user stories.