- Analyzed large datasets to identify trends, patterns and correlations forbusiness insights.- Gathered requirements from stakeholders to design data models andreports.- Conducted exploratory analysis of complex datasets using Pythonlibraries such as NumPy and Pandas.- Designed automated ETL processes for efficient data extraction,transformation and loading in order to improve accuracy and reliabilityof reporting systems.-Collaborated with stakeholders across the organization to understandtheir needs from a data perspective.-Maintained documentation of all the processes related to Data Analysis.- Performed quality assurance testing on newly developed reportingsolutions.- Automated manual reporting processes by developing scripts in Python.

-Developed and implemented data models, database designs, dataaccess and table maintenance codes.-Design and develop API interface and endpoints and testing end-to-endflow by using Azure pipelines.- Injecting data into cosmos database using Azure data factory.- Handling various tasks and activities in Azure pipeline.- Establish APIs that perform CRUD operations on cosmos database.-Developed Python scripts for extracting data from web services API's andloading into databases.-Integrated multiple sources of structured and unstructured datasets intoa single platform.-Participated in agile development processes, contributing to sprintplanning, stand-ups, and reviews to ensure timely delivery of dataprojects.-Conducted rigorous testing and validation of data pipelines to ensureaccuracy and completeness of data.-Collaborated with cross-functional teams to gather requirements andtranslate business needs into technical specifications for data solutions.-Configured and maintained cloud-based data infrastructure onplatforms like Azure to enhance data storage and computationcapabilities.

-Leveraged SQL queries to extract, transform and load data intodatabases.-Translated raw data into meaningful information using statisticaltechniques.-Conducted exploratory analysis of complex datasets using Pythonlibraries such as NumPy and Pandas.-Designed automated ETL processes for efficient data extraction,transformation and loading in order to improve accuracy and reliabilityof reporting systems.-Optimized existing database structures for better performance onanalytics tasks.-Collaborated with stakeholders across the organization to understandtheir needs from a data perspective.-Maintained documentation of all the processes related to Data Analysis.-Performed quality assurance testing on newly developed reportingsolutions.- Automated manual reporting processes by developing scripts in Python.-Generated reports and obtained data to develop analytics on keyperformance and operational metrics.-Worked with internal teams to understand business needs and changingstrategies.-Conducted full lifecycle analysis to include requirements, activities, anddesign of data analytic solutions.

-Developed and maintained front-end web applications using Angular 8material.-Created back-end services for data manipulation and business logicusing the Pyramid Python Framework.- Designed database schemas to store application data using SQLAlchemy.- Implemented automated testing processes to ensure code quality.- Collaborated with other developers in designing solutions for customerrequirements.- Maintained version control systems like Git for source codemanagement.- Analyzed user feedbacks to improve existing features of the application.