As a Data Scientist at Cisco, I am part of the Customer Data Analytics team, where I create robust and scalable enterprise data pipelines for various applications using Big Data tools such as Spark, Hadoop, Airflow, and AWS. I also apply Machine Learning techniques such as Regression, Random Forest, XGBoost, kNN, K-means, and CNN to generate insights and recommendations for sales and marketing, customer segmentation, customer lifetime value, retention analysis, and customer success KPIs. I have a Master's degree in Data Analytics from Northeastern University, where I majored in Statistical Modeling and Big Data Analytics with a 3.84 GPA. I also have 4+ years of previous experience as a Data Analyst at Bank of America, where I led multiple high to mid-level impact database projects involving ETL and data management. I am proficient in Python, SQL, R, Tableau, and Advanced Excel tools, and have multiple certifications from LinkedIn Learning on SAS, Power BI, and Data Storytelling. I am passionate about leveraging data to drive business value and innovation, and I enjoy working with cross-functional teams and stakeholders to deliver data-driven solutions.