Shraddha Mishra

Worked closely with stakeholders to collect, clean, model and visualise datasets. Developed automated data pipeline for processing of sales files. Integrated Power BI reports into companies application using embedded analytics like Power BI service (SaaS) and API automation. Implemented Python code to work with Microsoft Azure to meet business requirements and develop and share business reports. Python API to supporting complex analytics and day to day business operation with statistical analysis for automation of the processes, services and reports. Developed important data pipelines for business processes that create and consume data to be able to select the best approaches, evaluate their performance, and assess business relevance. Recommendation engine (POC) to conditionally recommend other brands based on targeting most bought category. Utilised analytical and technical expertise to provide insights and proposals to support business improvements.

Focused at exploring data pre-processing techniques with the use of pandas and various other inbuilt libraries of Python. Concepts of Regression(Linear), Decision Tress Algorithm, Understanding Clustering Algorithm and K-Nearest Neighbors. Built data pipeline for regex calculations to map SAP hierarchy. Built data pipeline to auto generate reports for complex contract calculations for fiscal year.

Web scrapping to match business needs and requirements to translate into conceptual designs. Make excel reports using chrome extensions, HTML pages.