Hi There, I am Ayush, a data science enthusiast with a unique blend of experience and skills. With a solid experience in embedded systems and software early in my career, I gained a deep interest in data science. I began my DS journey through automation and building surrogate models to solve critical problems using machine learning and data in the Oil & Gas domain. Post that I transitioned into a pure Data Science role and am currently working for as a Data Scientist at Fractal. ● I am skilled in building ETL pipelines using SQL, ensuring data quality and accuracy for reporting and analytics. ● Experienced in building regression, classification and time series forecasting models. ● Capable of driving business decisions by extracting actionable insights from the data. ● I am always pushing the boundaries of what is possible with data by learning new technologies and asking the right questions from xFN teams. Key skills: Attribution Modelling, Causal Impact Analysis, Time Series Forecasting, Recommender System, Regression Modelling, Cluster Analysis, Constraint Optimisation Languages: Python, SQL, Java, C Tools: MATLAB, Power BI, Google Data Studio, Excel Libraries: Scikit-Learn, SciPy, Tensorflow, Pandas, Numpy, Spacy, Sktime, Flask