Sarath Tharayil Sreenivasan

WORK HISTORY

EDUCATION

ABOUT SARATH THARAYIL SREENIVASAN

I am an experienced data scientist with a track record of delivering impactful, data-driven solutions that optimize business strategies and streamline operations. Over the course of my career, I have demonstrated proven expertise in advanced data analysis, machine learning, and statistical modelling. My proficiency extends to managing complex projects, contributing to significant improvements in accuracy, productivity, and overall results. I am adept at cross-functional teamwork and seamlessly use a wide range of tools and technologies for successful outcomes.Professional Experience: I have worked as a Data Scientist for 2 years for a business analytics firm. In this role, I have collaborated with a leading chemical manufacturing company on price and demand forecasting models, employing time series analysis to achieve improvements in forecasting accuracy. I have led an end-to-end development of a data engineering pipeline, orchestrating multiple API calls for data collection, and transforming JSON responses to data lakes, resulting in faster data processing pipeline. My expertise in data flows, advanced transformation techniques, and automated data monitoring contributed to higher accuracies in forecasting models.I have also partnered with the Supply Chain team of a prominent CPG manufacturer in the United States, to develop a scalable Python pipeline that identified and addressed root causes of product cuts, leading to reductions in daily cuts worth millions. My contributions extended to delivering insightful PowerBI reports, mitigating store fill-rate risk, and collaborating with the Marketing team to optimize marketing spends through advanced market mix modelling frameworks. The development of such a simulator resulted in increase in incremental revenues in multiple geographies.I possess a diverse skill set encompassing programming languages such as Python, R, Java, and C++. In the realm of data science and analytics, I am proficient in tools like RapidMiner, KNIME, and SPSS, as well as data manipulation and storage technologies including Hadoop, Spark, and Hive. My expertise extends to cloud computing with AWS and Azure, and I am well-versed in business intelligence and reporting tools such as PowerBI, Microsoft Office, RShiny, and Streamlit. Additionally, I bring experience in web scraping tools like Octoparse, Selenium, and BeautifulSoup, along with user interface and experience design skills using Figma and Adobe XD. Other notable skills include Git, Linux, Docker, Kubernetes, Excel, Azure DevOps, Flask, and Spark.