About

Sharon Alexander is a highly motivated and results-driven Software Engineer at Deemsys Inc with over 4 years of experience in diverse industries. She has a proven track record in data analytics, with expertise in data understanding, data wrangling, data analysis, and visualization. Sharon is skilled in identifying business needs and developing valuable solutions to drive accuracy and process efficiency. She drives business effectiveness through making recommendations based on data findings. Sharon has worked as a Data Analyst, Data Engineer, Business Analyst, and Business Intelligence Analyst. She is proficient in data analysis, data visualization, structured query language (SQL), R and Python-Statistical Programming, machine learning, Microsoft Excel, and ERP software. Sharon is also experienced in Agile methodology and software engineering. Sharon's past experience includes working as a Yield Operations Analyst at Playwire and as a Graduate Teaching Assistant in Data Analysis at The University of Akron. At the University of Akron, Sharon delivered effective Data Analytics, Business Intelligence, and Statistics tutoring for students in undergraduate and graduate courses. She supported faculty members in research activities by working extensively on Tableau, Python, Power BI, JMP Pro 14, and IBM Rational Rhapsody. Sharon also maintained data and research into Oracle databases and made actionable recommendations based on data trends. Sharon holds a Master's degree in Management Information Systems from The University of Akron and an Engineer’s Degree in Computer Engineering from Mumbai University. Her tech stack includes Software Engineering, Data Engineering, SQL, Python, ML, and Research Scientist. With 3.68 years of relevant experience, Sharon is a highly skilled software engineer with a proven track record in data analytics and a passion for driving business effectiveness through data-driven solutions.