Associate Data Scientist
CurrentI have expertise in utilizing data analysis, interpretation, and predictive modeling to drive business growth, I strive to provide with valuable insights and analytics to help them make informed choices and achieve goals. Some of my notable projects :Cash Flow Project:1) Developed a comprehensive cash flow management system for small and medium-sized enterprises, utilizing forecasting models to provide a holistic view of financials and key performance indicators (KPIs).2) Conducted exploratory and descriptive analysis, identifying trends and insights to improve financial planning accuracy.3)Cleaned and pre-processed data, resulting in a 25% improvement in data accuracy, reducing data inconsistencies by 40%.4) Implemented various time series models to reduce forecasting errors by 30%, leading to an increase in revenue.Market Basket Analysis Project:1) Built an intelligent Association Rule Generation Dashboard, increasing up-sell, cross-sell, and bundling opportunities by identifying which products should be placed together.2) Conducted RFM analysis to segment customers and gain insights into their behavior.Developed a predictive model to rate user-item combinations, resulting in a 25% increase in cross-selling.3) Built association rules using frequency, minimum support, and confidence metrics, identifying significant item or item sets that can support business and improve revenue by 10%.By utilizing my expertise in data analysis, business intelligence, insights, data visualization, and predictive modeling, I have demonstrated my ability to deliver valuable results to organizations. My proficiency in programming languages such as Python as well as experience with machine learning algorithms, statistical modeling, and data mining techniques, have enabled me to develop and execute complex data-driven projects with exceptional accuracy and efficiency.