Career Profile 📃Results-driven data professional with over 5 years of experience in Business Data Analytics and Reports Automation through BI Platforms. 📊Proficient in BI tools such as Microsoft Power BI, AWS QuickSight, Tableau, and SPSS. Skilled in SQL, ETL, data engineering, and Data Warehouse concepts. 📉 Possessing an extensive understanding of the Banking, Financial, and Payment Industries, I excel in cross-functional collaboration to construct data models for Risk and Fraud Analytics. 📈 Proficient in Data Transformation and Integration from diverse sources, aligning data with precise business requirements. 🗂️Extensive hands-on experience in implementing Embedding Analytics, API Integration, ETL processes, and Data Engineering Concepts. 📚Experienced in Requirement Gathering, Data Modelling, and Project Management. 📃 Gradually acquiring expertise in Data Science and Machine Learning, with a growing proficiency in Python. Core Competencies Data Quality Management: Data Cleaning, Modelling & Analysing Dataset Management : ETL, Data Integration between Databases & Monitoring data flow Reporting : Data Visualization | KPI & Dashboard Reporting | Trend Analysis | MIS Automation Process Management : Fraud and Risk Analysis, Repeat Offender Analysis, Cross Product Analysis BFSI Analytics : Payment Matrix, Credit Analytics, Cardholder Fraud Analytics Technical Skills Data Manipulation & Visualization: MS Power BI | AWS Quicksight | MS Excel | IBM SPSS Data Analytics: Descriptive Analytics | Diagnostic Analytics | Predictive Analytics | Prescriptive Analytics Programming Languages: SQL | Python Database Management: MySQL, PostgreSQL Data Lake / Data Warehouse: S3, Pentaho, DBeaver Data Science : Machine Learning, Pattern Identification