Highly skilled and experienced data scientist with over six years of experience in global firms such as Scotiabank, Rio Tinto, Citi and EY. I have worked with multiple Fortune 500 clients across various sectors, including CPG/retail, technology, healthcare, and financial services. My expertise lies in designing and deploying machine learning solutions, and I have experience in optimizing internal business processes. I am proficient in a variety of statistical techniques, such as hypothesis and A/B testing, Generalized linear models, Ensemble Models (Random forest, Gradient Boosting, xgboost), Convolutional Neural Networks, Sequence networks for Natural Language Processing and Natural Language understanding. I am also proficient in various tools and technologies, including Python, R, SQL, Tableau, Power BI, and Advanced MS Excel. Additionally, I have completed the Master of Data Analytics program at Western University, where I learnt advanced statistical techniques and frameworks. My Github (https://github.com/unnikrishnansivakumar/) showcases some of my projects and work. With my diverse skill set, I am confident that I would be a valuable asset to any data science team.