As a Solution Engineer at MiQ, Australia, I develop tailored analytics solutions to address client-specific challenges; lead multiple projects involving complex data analysis and advance Machine Learning techniques, by translating business problems into actionable solutions. Managing project timelines, resources, and deliverables ensuring high-quality results and adherence to business objectives is an essential part of my role.During my previous role as a Product Analyst, I performed statistical analysis of third-party data, generated impactful insights in a client-friendly manner, maintained and built data pipelines for the products developed. My tech stack includes Python, Pyspark, R, SQL, Tableau, Google Data Studio, MS Excel.I graduated with a Master of Analytics degree from RMIT University in July 2021, where I completed a Work-Integrated Learning project as a Medical Research Analyst. As a part of this, I performed analysis on the data of people diagnosed with Multiple Sclerosis, executed cross-sectional and prospective studies and drafted a research paper using. I also have experience in data mining, machine learning, time series analysis and statistical research using various tools and languages like SAS, R. I am passionate about finding data-driven solutions for real-world problems and delivering value to clients and stakeholders.
Listed skills include Sas Programming, R (Programming Language, Data Analysis, Analytical Skills, and 9 others.