A highly skilled Data Scientist with over 6 years of experience in data analysis, machine learning, and data visualization. My expertise spans various industries, including Apparel, Footwear, and Consumer Goods, where I have successfully developed and implemented predictive models, automated data pipelines, and conducted comprehensive data analyses to drive strategic decision-making and business outcomes.At Acies Global, I improved forecast accuracy for New Balance by 23% and reduced inventory by 10% through advanced time series models using Python and o9 IBP. I also enhanced SKU forecasting accuracy by 15% for new products with XGBoost , CatBoost and Random Forest Regressor and automated data collection processes, reducing preparation time by 50% for companies like Kraft Heinz. I am passionate about mentoring and have guided junior data scientists to deliver impactful business solutions across multiple projects. My background also includes significant experience in ETL processes and database management during my tenure at Capgemini India Pvt Ltd.With a Master of Science in Data Science from the University of Wisconsin, Milwaukee, I bring a strong educational foundation to my professional experience.I am proficient in analytics tools like Tableau, Power BI and Excel, and have strong programming skills in Python and SQL. My competencies include data visualization, feature engineering, exploratory data analysis (EDA), and the implementation of various machine learning algorithms. Recognized for my performance, I have received awards such as the Spot Award at Acies Global and an o9 Certificate of Appreciation.I am actively seeking new opportunities where I can leverage my data science skills to contribute to innovative projects and drive business success. Let's connect to discuss how I can add value to your organization.