Experienced professional specializing in the development of intelligent payment solutions to enhance transaction efficiency and security. Working on to design tools that improve payment success rates and minimize fraudulent activities.Payment Success Indicator Development:Designed and implemented tools to predict the likelihood of payment settlements, enabling proactive decision-making and increased transaction efficiency.Fraud Solutions for ACH Transactions:Developed… Show more Experienced professional specializing in the development of intelligent payment solutions to enhance transaction efficiency and security. Working on to design tools that improve payment success rates and minimize fraudulent activities.Payment Success Indicator Development:Designed and implemented tools to predict the likelihood of payment settlements, enabling proactive decision-making and increased transaction efficiency.Fraud Solutions for ACH Transactions:Developed and enhanced fraud detection and prevention mechanisms specifically for Automated Clearing House (ACH) transactions, ensuring secure and reliable payment processing Show less

Providing Data Science solutions for solving business problems.Worked with fortune 500 clients.Providing Data Science solutions in the domain of LEGAL COMPLIANCE, HR Analytics, Finance

Key functions of the project involve in building the Classification as well as predictive modelling for respective use-case. Multiple classification models are been used to get better accuracy as ensemble technique is one of the important method to use for classification purpose. Also for predictive modelling use-case, features building out of the raw data to leverage the important of data for multiple regressive models and building the model with a motive to achieve the min error rate.

Project Description Project is responsible for data management, data mining, data wrangling which we received from our different web applications and to analysis the customer behavior with the help of NLP for building Add engine (recommendation engine) and classification for the same.Responsibilities: Building a recommendation engine. Text mining, contextualization, text classification. Categorical distribution of context, data classification Clustering Text… Show more Project Description Project is responsible for data management, data mining, data wrangling which we received from our different web applications and to analysis the customer behavior with the help of NLP for building Add engine (recommendation engine) and classification for the same.Responsibilities: Building a recommendation engine. Text mining, contextualization, text classification. Categorical distribution of context, data classification Clustering Text summarization.Achievements: TF-IDF base classification, naive bayes classifier, Kmeans clustering , rank classifier, neural network text classification, other deep learning algorithms, One-hot representation for the above classification method, skip-gram and BOW models for the classification, SVM supervised learning algorithm, Automation, recurrent neural network (RNN) , successfully implementation of softmax function and gradient descent Show less

• Working responsibilities as creation of data pipelines for storing the representative behavior data and analyzing reports for Call center team and there work report. • Building automated tools for our customer representative teams • Automating the process of customer calling based on the status. • Data analysis of the product which is sell to the customer and there follow ups. • Successfully implementation of best customer representative rule base model base on… Show more • Working responsibilities as creation of data pipelines for storing the representative behavior data and analyzing reports for Call center team and there work report. • Building automated tools for our customer representative teams • Automating the process of customer calling based on the status. • Data analysis of the product which is sell to the customer and there follow ups. • Successfully implementation of best customer representative rule base model base on the data analysis report • Storing raw data as well as processing the data to store it in a optimize manner to obtain the query time optimization. • Performing data analysis of every customer vehicle data. • Customer eccentric data analysis and report generation. • Report display in the form of D3 js library. Show less