Hello! I'm Ankit Saxena, a seasoned Data Engineer and Data Scientist with over 12 years of experience in leveraging the power of data to solve real-world problems and drive business growth. My expertise spans the entire data science lifecycle—from data extraction, transformation, and modeling to deploying machine learning algorithms and delivering actionable insights. Key Skills and Specializations: -> Advanced proficiency in SAS, SQL, Python, PySpark, DBT for data engineering and analytics. -> Machine learning, statistical modeling, predictive modeling, and algorithm optimization. -> Data visualization using Tableau and robust reporting techniques. -> Credit risk analytics, including Basel, IFRS9, and CRDIV model requirements. -> Big data tools such as Apache Spark and cloud platforms like AWS & Google Cloud Platform (GCP). Throughout my career, I have worked with industry leaders, each experience adding a unique dimension to my skillset: EXL: As a AVP- Data Analytics and engineering, I lead cutting-edge projects in the BFSI domain, focusing on building scalable data engineering methodologies and predictive analytics solutions. Boeing: Played a key role in optimizing fleet maintenance schedules by transitioning critical algorithms from SAS to R and developing statistical models to enhance operational efficiency. Wipro: Delivered advanced SAS macros and data validation frameworks across diverse portfolios, including banking, healthcare, and retail. Aon: Progressed from an intern to Senior Analyst, honing my technical and analytical skills while contributing to system and data analysis projects. I am driven by the challenge of transforming raw data into meaningful narratives and empowering businesses to make informed decisions. Whether it’s credit risk modeling, healthcare analytics, or algorithm development, I’m passionate about leveraging data science to fuel innovation and success. I hold certifications in GCP Bigquery, Agile Methodologies, R for Data Science, and Microsoft Project, demonstrating my commitment to continuous learning. Let’s connect to collaborate and explore opportunities to unlock the potential of data!