I'm deeply passionate about creating insightful, trusted and actionable insights that help businesses make better decisions and navigate their goals to improve efficiencies. I have a decade of experience working in retail analytics, operational intelligence, and data science domain. Currently, I work as the Lead Data Scientist @ Cargill. I lead a cross-functional project and team, building unique machine learning based forecast and other analytical tools that are helping business partners achieve more efficiency fast. If you catch me outside of work, I'm an adventurous traveler - Made it to 5 countries and Everest base camp. Also, I am a nature photographer and an avid lover of console gaming! I really enjoy learning new things and connecting with people across a range of industries, so don't hesitate to reach out if you'd like to get in touch on LinkedIn. Competencies: Python, R, SAS, Hadoop, Big Data, Hive, SQL, Spark, Business Intelligence, Tableau, Visualization, Time Series Forecasting, Predictive Modelling, Risk Management, Descriptive & Diagnostic Analytics, Data Mining, and Machine Learning.