Krish Kabi

About Krish Kabi

Data Analyst | Transforming Data into Impactful Insights Passionate about leveraging data to drive innovation and create meaningful impact, I specialize in extracting actionable insights from complex datasets. With an honors degree in Engineering from The Pennsylvania State University and hands-on experience across multiple industries, I am on a journey to shape the future of data-driven decision-making. Data Analyst Executive at Choreograph:In my current role, I’ve been instrumental in optimizing media campaign strategies and improving outcomes for branding and performance efforts. I drive campaign effectiveness by analyzing audience insights and attributed metrics, achieving measurable uplifts in subscriptions and video views. I optimize branding strategies by identifying ideal branding frequency ranges, enhance market performance by pinpointing top-performing cities, and align subscription plans with user demand by uncovering trends between campaign-driven and organic growth. My work ensures data-driven strategies that maximize impact and engagement. Strategic Product Planning Intern at Volvo Group:At Volvo Group, I honed my ability to transform raw data into actionable strategies. I developed Power BI dashboards, automated budget simulations with Excel VBA (cutting operational time by 50%), and collaborated across teams to deliver solutions that enhanced business efficiency by 40%. Data Science Explorer:Throughout my journey, I’ve tackled data challenges with Python, SQL, and machine learning techniques. From building predictive models to optimizing workflows, my work has consistently delivered measurable results. For instance:Reduced mean prediction error by 88% while forecasting clicks using Random Forest regression.Optimized operational costs by 10% through data-driven insights at Patterson-UTI Drilling. Innovative Projects with Real-World Impact:My portfolio includes advanced data projects, such as applying sentiment analysis to social media comments with 84.8% accuracy and increasing model performance by transitioning to Random Forest regression for home utility savings predictions. Connecting for Collaboration:As I continue to grow in the dynamic fields of data analysis and science, I’m eager to connect with professionals and organizations who value data-driven innovation.

Experience

1. Data Engineer

   Choreograph

   Jun 2024 — Present · Gurugram, IN

Education

• Jakarta Intercultural School

  International Baccalaureate Diploma Program

  2011 — 2019

• Penn State University

  Bachelor of Science - BS, Mechanical Engineering