About

Ajay Rathore is an upcoming graduate with a strong interest in pursuing a full-time position in data science-related roles. With 5+ years of experience in data analytics and quality assurance, he is a competent professional with a thorough understanding of machine learning, visualization, storytelling, data mining, predictive analytics, statistics, and interactive dashboards. Ajay has actively been involved in QA experience, including SDLC, STLC, and requirement management, in agile methodology. He has also collaborated with teams at various geographic locations, showcasing his ability to work in a team environment. His technical skills include database management, data mining, predictive analysis, data visualization, statistics, algorithm, analytics, data analysis, data preparation, and proficiency in Python and its libraries (numpy, pandas, matplotlib), R, SQL, Tableau, Weka, Excel, Access Reporting, MS Office, and Weka. Ajay has experience in test planning and test scenario writing, test case execution, defect analysis, CR preparation, data preparation, and go-live support. He has worked with both Agile Methodology (daily scrums, backlog refinement, and retrospective meetings) and Waterfall model. Ajay has demonstrated his ability to work under pressure and within a team, making him an asset to any organization. Currently working as a Data Analyst at s & v worldwide inc, Ajay has previously worked as a Customer Service Representative at farmboy markets ltd and as a Specialist at HCL. He holds a Master's in Business Analytics from Cape Breton University, which he will complete in August 2022, and a Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering from Acharya Institute of Technology. Ajay also completed his 10+2 education from Maheshwari Public School, and he completed his Matriculation from the same institution. Ajay's tech stack includes Data Scientist, test, QA, SQL, Python, ML, and Pandas. With 5.28 years of relevant experience, Ajay is a highly skilled professional who is eager to contribute his expertise to the field of data science.