I spearheaded the development of Vault Bridge SDK for IBM's Data and AI Platform, which enabled major clients like Verizon and Bank of America to enhance data security, driving millions in revenue. This achievement earned me the Outstanding Technical Achievement Award from CEO Arvind Krishna.

Led a cross-functional team to launch a cornerstone product for IBM’s Data and AI Platform, allowing AI instances and workloads to be deployed across different locations efficiently without deploying entire platform. This innovation significantly reduced memory costs and scaled operations for our clients, generating strong interest and purchases from major clients.

I'm now looking for an Senior Product Manager role to deliver maximum impact and help customers by leveraging AI.

I played a key role in supporting various customers, including Verizon Sourcing LLC, Bank of America, ING MetLife Services and Solutions LLC, Indus Ind Bank Limited, Bank of China (Hong Kong) Limited, Internationale Nederlanden Bank N.V., Union Bank of the Philippines, Clydesdale Bank PLC Capital Bank, Caixabank S.A., Bundesanstalt fuer die Finanzdienstleistungsaufsicht Aeropuerto de Palma de Mallorca Australia and New Zealand Banking Group Limited, Luxembourg Institute of Science and Technology, New York Power Authority, and Arab Investment Bank. I actively participated in customer calls, debugged issues, and provided solutions by updating code or suggesting fixes. This level of support resulted in improved customer satisfaction and a reduction in critical issues.

Big Data Analysis on Death in the United States-CDC Dataset Merged 11 years’ datasets into a relational database using AWS and used Spark SQL queries on Databricks to identify new trends related to mortality.

Performed Data wrangling to clean the data consisting of 27 Million rows and 77 columns and built a Logistic Regression model in PySpark to predict if a person will be buried or cremated based on certain features.

Big Data Analysis of Dentist Review-Yelp Dataset

Used Pig Script to perform ETL activities on HDFS and queried this data using Hive to analyze dentist review by frequency, rating and region.

Performed text preprocessing using Tokenizer class of Keras Package, removed stop words and performed deep learning using 3-layer Neural Network-Multilayer Perceptron Classifier to classify positive and negative review with 94% accuracy.

Deep Healthcare analysis using Medicare data

• Performed data preprocessing and null imputation on Medicare dataset of US nursing facilities having around one million rows and 70 features using Python.

Employed K-means clustering to group nursing facilities to understand their characteristics and differentiate high and low performing facilities based on features like SNF charge, Medicare payments etc.

Worked with DevOps essential tools like Chef, Puppet, Ansible, Docker, Kubernetes, Subversion, GIT, Hudson, Jenkins, Ant, Travis, Maven and transferred VMWARE VMs to AWS while managing its Cloud Services- EC2, S3, Route53, ELB, EBS.

Performed Java programming to add new functionalities to an application and remove bugs from existing application which lead to code optimization in ‘Manheim Project’ by 20%.

Utilized Jenkins to streamline CI/CD pipeline providing steady enhancements to Agile software development teams.

Created web-based applications using Node.js and JavaScript frameworks namely Redux, React for Centre of Excellence team which was demonstrated to the business clients and resulted in hiring of our services by a multinational firm.

Utilized Docker to virtualize the servers for the dev-environments, test-environments; prepared LINUX shell script for testing.

Developed complex Stored Procedures, Triggers, Functions, Tables, Views, Joins using mySQL queries to implement new business rules/update existing rules which improved data consistency by 50%.

Accomplished data cleansing, preprocessing and modeling in Python using Random Forest to predict Cargo load shipped for a route with 91% accuracy helping in consolidation of Cargo routes.