Results-driven Market Research Consultant with substantial background in conducting comprehensive market analyses to identify business opportunities and trends. Strengths include qualitative and quantitative research methods, data analytics, and strategic planning. Previous roles have demonstrated significant impact by driving strategic decision-making processes based on critical market insights.
POC PROJECT - CALIFORNIA HOUSING PRICE PREDICTION, Developed a CI/CD pipeline for the prediction of housing prices in the state of California using the california_housing database., Implemented ensemble machine learning algorithms including decision tree and random forest., Developed understanding for git actions., Followed object-oriented programming techniques., Deployed the entire project pipeline on Heroku and Azure., Technology used - Python, Machine Learning, GIT, Heroku, Microsoft Azure. ACADEMIC PROJECT - DYNAMIC ANALYSIS OF LOCOMOTIVE TURBOCHARGER ROTOR BEARING SYSTEM SUPPORTED ON JOURNAL BEARINGS, 03/01/20 ACADEMIC PROJECT - IDENTIFICATION OF LOCOMOTIVE TURBOCHARGER ROTOR BEARING SYSTEM WITH FAULTS, 11/01/19