Kumar Jayant

About Kumar Jayant

As a Data Scientist at Donaldson, I’ve had the privilege of shaping critical business strategies in a $6.7B industrial environment—leveraging data not just for insights, but for measurable impact. My work spans customer journey mapping, ideal customer profiling, churn detection, competitive intelligence, demand forecasting, and dynamic pricing—delivering end-to-end solutions from data extraction to executive-ready dashboards. I specialize in B2B customer segmentation, behavioral churn modeling, and full-stack data pipelines using Python, Snowflake, Power BI, and Streamlit. Some highlights include: • Designing an Ideal Customer Profile framework that led to a 10% revenue optimization. • Building a competitive product-matching algorithm with 84%+ accuracy, boosting it further with simulated annealing. • Developing dynamic pricing and personalized discount tools that empowered the sales team with real-time decision-making capabilities. • Delivering high-impact projects at 3x speed, consistently earning top performance ratings, and receiving direct commendations from leadership. Beyond code, I’m passionate about converting raw data into actionable business intelligence—bridging the gap between analytics and strategy execution. I don’t just provide insights; I help drive decisions. Let’s connect if you’re looking to turn data into business advantage.

Experience

1. Data Scientist Strategy & Growth

   Donaldson

   Mar 2023 — Present · Gurgaon, IN

   Led customer journey mapping and Ideal Customer Profiling (ICP) by analyzing 7 years of B2B sales data ($6.7B in transactions). • Built full-stack analytics pipelines using Python, Snowflake, and Power BI to drive segmentation, churn detection, and revenue optimization. • Created competitive product intelligence tools using NLP and web scraping, achieving 84%+ match accuracy and improving it by 15% using simulated annealing. • Developed a Streamlit-based dynamic pricing tool and automated discounting strategies tailored to customer loyalty, frequency, and order volume. • Forecasted demand by geocoding customer locations, applying KD-tree algorithms, and modeling purchase patterns for proactive inventory planning. • Partnered cross-functionally with Sales, Product, and Marketing teams to drive a 10% revenue uplift through ICP-based targeting and churn interventions. • Secured 3 increments within a single financial year and consistently received full ratings—recognized by the CTO and Director of Sales for exceptional delivery.

Education

• Sainik School - India

  Class 6th - 8th

  2011 — 2013

• Delhi Public School - India

  Class 9th-10th

  2013 — 2015

• Apeejay School

  Class 11th-12th

  2015 — 2017

• Guru Gobind Singh Indraprastha University

  Bachelor of Technology - BTech

  2017 — 2021