sayalighorpade728

ImplementedAgile methodologies to streamline project life cycles for report design and development, enhancing overall project efficiency. ● Developedandexecuted predictive analytics use cases using Python, contributing to data-driven decision-making. ● Createdinteractive dashboards in Tableau, utilizing advanced calculations and parameters to improve decision making efficiency by 20%. ● LeveragedPython libraries such as NumPy, Pandas, Matplotlib, and SciPy to develop algorithms, resulting in a 15% reduction in data processing time. ● Designedandoptimized SQL scripts for creating tables, sequences, triggers, views, and materialized views, boosting database performance by 30%. ● Conductedthorough requirements gathering and source data analysis to identify business rules for data migration and data warehouse development.

Utilized Waterfall methodologies, actively participating in daily stand-ups, showcases, and sprint retrospectives. ● Developedanddeployed machine learning models using Python, R and Scikit-learn. Automated data pipelines for AI models, increasing model training efficiency by 30%. Collaborated with cross-functional teams to integrate AI solutions into business processes. ● Automatedaweb-scraping tool using Python, increasing marketing content generation efficiency by 25%. ● Streamlined business reporting and dashboard creation with Excel, Power BI, and PowerPoint, cutting report generation time by 30%. ● Performeddatacollection, cleaning, wrangling, analysis, and machine learning model building using R and Python. ● WrotecomplexSQLqueries to validate data and ensure accuracy at the field level. ● Demonstratedstrong analytical, communication, problem-solving, and time management skills through comprehensive data analysis and presentation of results. ● Leveragedcloud platforms (such as AWS, Azure, or Google Cloud) for scalable data processing, analysis, and visualization, enabling data-driven decision-making and improving operational efficiency.