Mounika Arapally

Data science professional with expertise in Python, SQL, and data visualization tools such as Tableau and Power BI. Skilled in delivering actionable insights, improving operational efficiency, and driving innovation through analytical approaches. Recognized for excellence in data analysis, stakeholder collaboration, and mentoring at Amazon. Passionate about leveraging data to solve complex problems and deliver impactful business results.

As a Machine Learning Data Associate at Amazon, I have honed my expertise in developing and deploying machine learning models, training Alexa functionalities, and analyzing datasets for enhanced accuracy. My role involved deep dives into complex data structures, ensuring high-quality annotated data for model training, and collaborating with cross-functional teams to optimize AI performance. Prior to that, my experience as a Business Associate at Space Station Township enabled me to enhance customer satisfaction, analyze business data, and streamline financial processes using advanced Excel functionalities.

My technical proficiency includes Python, SQL, Tableau, and Power BI, coupled with strong problem-solving and critical-thinking abilities. I have also earned multiple certifications, such as the IBM Certification in Python for Data Science and the Post Graduate Certification in Data Science and Data Analytics from Skill Lync. Furthermore, my academic projects, including Gender Bias in STEM Fields and Cab Performance Analysis, demonstrate my ability to extract meaningful insights from data and provide actionable recommendations

Bachelor of Engineering in Electrical and Electronics Engineering with CGPA of 71%.