Rushabh Kabra Email & Phone Number

Greetings! I recently completed my postgraduate studies in Artificial Intelligence and Data Science at Loyalist College, where I cultivated a versatile skill set to navigate the evolving landscape of technology and data analytics.In my most recent role as a Data Analyst at NYSHA SOLUTIONS, I engaged in comprehensive data analysis using SQL, Python, and various analytical tools. Proficient in Data Analytics, Machine Learning, and Database management, I also bring expertise in Microsoft Power BI, Tableau, R, MySQL, and statistical data analysis. My contributions to Business Intelligence initiatives involved leveraging analytical skills to derive actionable insights.I specialize in developing dynamic dashboards and reports, employing Microsoft Power BI and Google Data Studio for effective data visualization. A solid foundation in SQL Server, MySQL, and data entry ensures accuracy in data processing, while statistical and business analysis skills contribute to a thorough understanding of data trends and business requirements.On the technical side, I have engaged in software development using Python and Java, contributing to analytics projects involving Microsoft SQL Server and MySQL. My proficiency in Tableau extends to creating impactful visualizations for strategic decision-making.Furthermore, I am well-versed in Extract, Transform, Load (ETL) processes, Amazon Web Services (AWS), Data Warehousing, Apache Spark, Big Data, and Microsoft Azure, showcasing my adaptability in the field of data engineering.In addition to my corporate experience, I served as a teacher expert at Cuemath, teaching Python for over a year, reflecting my commitment to sharing knowledge and contributing to the growth of others.Eager to contribute my diverse skill set to a dynamic team, I am driven by a continuous commitment to learning and solving data-related challenges. Now, having successfully completed my studies, I am enthusiastic about applying my knowledge and skills in a professional setting, ready to embrace new challenges in the dynamic and evolving field of data science.