As A Data Scientist at IBM, I led multiple Analytics MVPs & PoC that enabled data-driven decision making for a multitude of organizations and industries. Applying predictive modelling and machine learning, I developed models supporting core business functions across various industries including Oil & Gas, Banking, Telecom, and Manufacturing. Working on leading technologies such as Machine Learning, Deep Learning and Large Language Models to devise analytical use cases for the… Show more As A Data Scientist at IBM, I led multiple Analytics MVPs & PoC that enabled data-driven decision making for a multitude of organizations and industries. Applying predictive modelling and machine learning, I developed models supporting core business functions across various industries including Oil & Gas, Banking, Telecom, and Manufacturing. Working on leading technologies such as Machine Learning, Deep Learning and Large Language Models to devise analytical use cases for the industries.I collaborated cross-functionally from planning through implementation to ensure solutions met desired results. My responsibilities included gathering and translating business requirements, investigating data sources, profiling data, building/testing models, and creating application dashboards to deliver insights.I actively promote an analytics-first culture and implement IBM technology roadmap to maximize competitive advantage. My technical expertise in statistical analysis, Python, R, and cloud platforms combined with my leadership abilities were instrumental in spearheading high-impact analytical solutions. Technologies:IBM Watsonx.aiIBM WatsonAWSPython Show less

Involved in planning, management and execution of analytical use cases for various departments within the bank. Responsible for Implementing analytical models, to develop and improve processes and to facilitate the bank with better decision-making capabilities. Also involved in implementing data lake and analytical data marts for the organisation.Responsibilities- Gathering Business requirements and ensuring successful delivery.- Plan and mange execution of use case development… Show more Involved in planning, management and execution of analytical use cases for various departments within the bank. Responsible for Implementing analytical models, to develop and improve processes and to facilitate the bank with better decision-making capabilities. Also involved in implementing data lake and analytical data marts for the organisation.Responsibilities- Gathering Business requirements and ensuring successful delivery.- Plan and mange execution of use case development | Task allocation and monitoring of resources.- Data Exploration and profiling of source systems.- Developing and presenting visualisations on insights into the data.- Testing models on data to facilitate Use Cases.- Planning of application dashboards to facilitate the business.Achievements- Implementation of Fraud Use Case for Net banking | Ongoing development for Debit card fraud.- Implementation of Cash Optimisation Use Case.- Successfully deployed and implanted Raw Zone for analytical use cases in Hadoop.- Delivery of multiple in-house use cases being actively used by various businesses in the Bank.Use Cases:Fraud Monitoring Customer 360 (KYC) Channel MigrationNext Best Offer Churn Prediction Customer SegmentationSocial Network Analysis (Transaction Monitoring)Social Media AnalyticsCustomer Spend AnalysisPDF / Text Extraction Show less

Involved in the following projects and development1. IBM Watson- Develop Chat bot for health monitoring- Web crawling on top search engines- Voice to Text- POC image recognition - NLP tasks (Annotation)2. Development (Python and R)- NLP topic modeling - Data visualization (on going project)- Feature extraction Machine Learning Algorithms- SVM- LDA- Neural Networks- k meansPackages and Libraries-… Show more Involved in the following projects and development1. IBM Watson- Develop Chat bot for health monitoring- Web crawling on top search engines- Voice to Text- POC image recognition - NLP tasks (Annotation)2. Development (Python and R)- NLP topic modeling - Data visualization (on going project)- Feature extraction Machine Learning Algorithms- SVM- LDA- Neural Networks- k meansPackages and Libraries- scikit-learn- Pandas- Scipy- Dplyr - Ggplot- Caret Show less

Involved in Oracle Product Development and Support- Oracle Database 11g / 12c- Oracle Secure Backup - Oracle Forms and Reports- Oracle Data Integrator- Oracle Cloud Database- Oracle VM- Oracle Big Data Discovery - Oracle Vault- Oracle Endeca

Worked and attained following skills- Data Warehouse Training- ETL Development - SQL Server- Talend / Talend for Big Data- Hortonworks- Hive SQL- Pig Script- Qlik View- Spago BI- Tabluea