Summary
Overview
Work History
Education
Skills
Timeline
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Kshitij Ranjan

Kshitij Ranjan

Data Scientist
Amsterdam

Summary

Professional data scientist with strong background in statistical analysis, machine learning, and data visualization. Skilled in Python, R, SQL, and various data processing tools, with focus on delivering actionable insights using machine learning and AI. Known for collaborative approach, adaptability, and consistently achieving impactful results in dynamic environments. Recognized for problem-solving abilities and innovative thinking in leveraging data to drive business decisions.

Overview

7
7
years of professional experience

Work History

DATA SCIENTIST, GLOBAL SCM - ADVANCED ANALYTICS

ADIDAS INTERNATIONAL B.V
06.2022 - Current
  • Designed a centralized DC resource recommendation solution which increased DC efficiency by 10% through near realtime scenario-based resource recommendation, using PuLP linear programming
  • Developed a high-accuracy shipping forecast leveraging LightGBM, Prophet and MLOps, achieving 80%-95% accuracy across different markets
  • Launched DC Productivity Cockpit, enabling stakeholders to monitor and manage DC performance in real-time, leading to 16% reduction in decision-making time
  • Technology used: Spark, Python, PySpark, Time Series, Linear Optimizer, Power BI, Databricks

SENIOR DATA SCIENTIST

ENQUERO GLOBAL LLP.
09.2021 - 04.2022
  • Designed an Anomaly detection framework, using isolation forest, that increased the Data Quality standards by 12% along with performing root-cause analysis (using Causal Inference and A/B Testing) that led to reduced mean time to resolution by 40 %
  • Performed fast-seller analysis, leveraging K-means clustering and XGBoost regression to identify 6% more high-demand articles pre-release, preventing a potential demand loss of 10K units (~$1.2 million) during the Spring-Summer season
  • Led a 6-member team to productionalise transactional and profitability datasets across markets by implementing industry-standard ETL processes leveraging Spark SQL and databricks, which lead to 18% drop in data storage costs
  • Technology used: Spark, Isolation Forest, Causal Inference, A/B Testing, K-Means clustering, XG Boost

TRAINEE DECISION SCIENTIST

MU SIGMA INC.
08.2018 - 09.2021
  • Productionalised an 88% accurate customer churn prediction model leveraging XG Boost and Principal Component Analysis, empowering sellers with actionable insights to proactively address at-risk service accounts, resulting in more targeted retention strategies improving renewal rates by ~21%
  • Developed a custom Named Entity Recognition model using spaCy, automating vendor catalog creation by extracting critical information from Statement of Work documents and PDFs, streamlining procurement processes and enhancing data accessibility
  • Implemented robust data engineering pipelines to ingest backorder data via REST APIs, automating end-to-end backorder cancellation processes that eliminated manual intervention. This reduced errors and accelerated operations by 60%, significantly enhancing overall supply chain efficiency
  • Technology used: R, Microsoft SQL, Logistic Regression, Principal Component Analysis, Power BI

Education

Bachelor of Engineering - Electronics And Telecommunication

Manipal Institute of Technology
Manipal
04.2001 -

Skills

Statistical regression analysis

Timeline

DATA SCIENTIST, GLOBAL SCM - ADVANCED ANALYTICS

ADIDAS INTERNATIONAL B.V
06.2022 - Current

SENIOR DATA SCIENTIST

ENQUERO GLOBAL LLP.
09.2021 - 04.2022

TRAINEE DECISION SCIENTIST

MU SIGMA INC.
08.2018 - 09.2021

Bachelor of Engineering - Electronics And Telecommunication

Manipal Institute of Technology
04.2001 -

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Kshitij RanjanData Scientist