As a passionate and highly skilled Data Scientist with over 11 years of experience, I have specialized in designing and developing machine learning pipelines for more than 7 years. My expertise spans advanced statistical techniques, machine learning algorithms such as Linear Regression, Decision Trees, XGBoost, SVM, ANN, CNN, LSTM, and Big Data technologies including PySpark and Azure Data Bricks. I am committed to enhancing model performance, creating robust forecasting models, and implementing innovative solutions to solve complex business problems.At LTIMindtree Limited, I led a team to develop a comprehensive forecasting model pipeline, utilizing advanced ML methods and strategic thinking to improve model accuracy and efficiency. My work includes building efficient data pipelines in PySpark, developing end-to-end pipelines in Azure Databricks, and ensuring high-quality data for accurate modeling.Key achievements in my career include:Enhancing model performance using neural networks and ALS modeling techniques, achieving a 5-6% performance increase through hyperparameter tuning.Building recommendation engines for offline and online ordering systems, leveraging sales data and latent features.Developing demand forecasting models, adjusting sales data for promotions and seasonal trends, and predicting out-of-stock sales.Leading the development of alternative market basket analysis models and implementing algorithms for multicollinearity elimination.I hold a PGP Certification in Data Science from Insofe and multiple certifications in Data Bricks and Microsoft Data Science. My technical skills encompass Python, PySpark, Azure Data Bricks, SQL, VS Code, Git, and various ML models and frameworks. My projects span diverse domains including retail and manufacturing, with a focus on enhancing model accuracy, improving data quality, and driving data-driven decisions.I am eager to continue leveraging my skills and knowledge to contribute to a dynamic and growth-oriented organization, driving both personal and professional advancement.