Kartik Jindal

Background

About Kartik Jindal

Kartik is a seasoned Data Scientist with over 4 years of experience in analyzing complex datasets, developing data-driven solutions, and optimizing business processes. He has honed his skills in data analysis, modeling, and ETL pipeline development. Kartik specializes in leveraging data science techniques to understand customer behavior, streamline workflows, and deliver impactful insights that drive business growth. He is passionate about using data to solve real-world challenges and continuously improve products and services. Currently, Kartik works at Adobe as part of the Adobe Express team, where he develops scalable analytics and data science solutions to optimize user experience and drive growth. His role involves understanding user behaviour, and diving deep into the reasons to improve the overall customer journey. Through advanced analytics and collaboration with product teams, he helps implement data-driven strategies that enhance user engagement and experience. Before joining Adobe, Kartik worked at United Airlines as a Business Analyst in their Technical Operations Data & Analytics division. During his tenure, he applied his expertise in analyzing large datasets and creating impactful reports that supported operational improvements and decision-making. He contributed to various projects, helping streamline workflows, optimize processes, and deliver data-backed insights that drove efficiency in aviation operations. Kartik holds a degree in Engineering from Delhi Technological University (Formerly Delhi College of Engineering), one of the top engineering institutions in India. Skillset: 1)Proficient in Python, SQL, Apache Spark (PySpark), and cloud platforms (AWS Redshift, S3) for data analysis, modelling, and scalable solution development. 2)Strong expertise in machine learning algorithms, product analytics, A/B testing, predictive modeling, and statistical analysis. 3) Data visualization tools like Power BI, Spotfire, and Tableau to drive insights 4) Expertise in product analytics, leveraging user behaviour data to optimise product features, enhance user journeys, and drive growth.