Jinal Ramolia

Background

About Jinal Ramolia

Graduate with a multidisciplinary background who is skilled in designing and deploying machine learning models. Capable of using data analysis, deep learning frameworks, and time series forecasting to create business solutions for real-world scenarios. Capable of expertly handling modern deep learning-based tools/processes, upcoming Cloud technologies, and industry-related software/tools. In my current position at Google, I provided regular market insight reports and ad hoc data analysis to our sales, marketing teams. To update the stakeholders on the team's progress, I used to produce a Weekly, Monthly, and Quarterly Business Review. I paved the way for the use of predictive modelling methods to produce highly accurate revenue forecasting reports, which improved workflow by 20%. I received numerous compliments from senior leadership for creating effective business intelligence models. With over 3 years of professional Data Analyst experience, I am proficient in a wide range of software and data management platforms, from traditional options like Excel, MySQL, PLSQL, Python, R and AWS. I worked with creating and maintaining ETL pipelines for the sales and Also designed Data Warehouses using SQL in one of my projects within Google. I have a working understanding of core programming skills, which has enabled me to create reporting solutions within each of these data platforms and present unique, inventive reports to executive leadership. I've also used clinical databases like EPIC and Clarity to collect data on diabetes patients and create prediction models in R. These models have an accuracy of over 90% and have helped the firm sell 50% more diabetic medications. I have a strong interest in data and how it may help people make informed choices. I am constantly excited to pick up new skills and keep up with the most recent developments in the data analysis industry. My enthusiasm for data, along with my technical expertise and experience, I think, make me an excellent contender for this post.