• Partnered with business stakeholders to address business challenges through data-driven solutions • Articulated complex analytical solutions to a variety of technical and non-technical stakeholders. • Led projects end to end by working closely with data engineers, data science programmers, and business users. • Utilized large, structured, and unstructured datasets from multiple sources, including SAP, SQL, and Azure Data Lake, for comprehensive analysis. • Performed data cleansing, transformation, and in-depth data analysis utilizing Azure Synapse, Python, and Excel analytics resulting in actionable insights that directly impacted business strategy and financial savings. • Integrated machine learning models to enhance financial decision-making processes, improving data analysis and automation using Azure Synapse and Azure ML. • Developed interactive Power BI reports, and dashboards, enabling the stakeholders to grasp complex data trends and make informed decisions leading to financial savings. • Provided end-user training and support for data reporting tools to the business stakeholders and facilitated insights interpretation and utilization. • Developed automation scripts using Power Platform tools, streamlining data workflows saving the manual data handling effort of 3 FTEs.

• Retrieved finance and supply chain data from Azure Data Lake, performing data cleansing and transformation using Python and Azure ML.• Conducted thorough data analysis and developed dynamic Power BI dashboards to effectively present actionable business insights.

CARPUTTY• Developed a predictive maintenance cost model for a startup organization, forecasting car expenses over 60 months.• Utilized Selenium for web scraping and utilized NumPy and pandas for comprehensive data preprocessing.• Implemented various machine learning models, achieving an 80% accuracy rate across classification, regression, and forecasting tasks.TEXT ANALYTICS• Designed a text analytics system to classify business licensing information, processing a dataset of over 13,000 documents using advanced NLP techniques.• Improved classification accuracy and efficiency by 25% through the application of machine learning and deep learning models.

• Developed Microsoft Dynamics 365 F&O solutions, including data models, forms, SSRS reports, data import/export mechanisms, extensions, and security protocols for various business applications.• Utilized SQL, Python, and x++ for advanced data analytics and automation. Applied machine learning techniques for text analytics (NLP) and image processing using OpenCV.• Led a successful image recognition and classification project, significantly reducing manual labor equivalent to 2 full-time employees, thereby increasing operational efficiency and accuracy.

• Developed and integrated Microsoft Dynamics 365 – Finance and Operations ERP solutions • Worked on Data Models, Forms, Data Import Export Framework, Extension, Security & SSRS reports• Developed assets to optimize the ERP Implementations • Created Business Process Hierarchy for various industries inside the asset

- Underwent training and learned about various stages of Software Development Life Cycle - Designed and developed the UI and back-end logic for a web application - Performed unit testing for the web application