Aniruddha Madurkar
Technical Writer

Aniruddha Madurkar

Technical writer and data scientist.
Work with Aniruddha Work with a Technical Writer

About

Aniruddha Madurkar is a technical writer with a background in data science. He specializes in writing on data science, machine learning, and AI topics. Aniruddha is also a contributor to the data science publication, Towards Data Science. As a senior data scientist, he builds end-to-end enterprise machine learning systems for Fortune 500s and startups. At Fulcrum Analytics, he worked on evolving customer segmentation model for a healthcare and insurance provider to include entire business units, greater explainability, and faster inference.

Employment

5 roles
Jul 2021 - Present 4 years 9 months
Technical Writer
Medium
  • Wrote on data science, machine learning, and AI topics. 
  • Contributed to the data science publication, Towards Data Science. 
  • Gained over 200 followers in six months of writing. Average 10K views monthly on Medium.
Dec 2021 - Present 4 years 4 months
Senior Data Scientist
Fulcrum Analytics
  • Worked on evolving customer segmentation model for a top 10 healthcare and insurance provider to include entire business units, greater explainability, and faster inference.
  • Built end-to-end machine learning systems for top companies and startups across financial services, healthcare, and retail sectors.
May 2021 - Present 4 years 11 months
Wildlife Conservation Research Assistant
University of Michigan
  • Led a team of three to build web-based explainable machine learning applications that assist law enforcement officers and researchers to proactively combat Wildlife Trafficking via imports into the United States.
  • Worked on peer-reviewed publication.
  • Used Gradient Boosted Trees (Supervised Learning), we predicted action/disposition from over 1 million shipments to identify packages of concern and highlight feature importance for targeted investigations.
  • Used K-Prototypes (Unsupervised Learning) and word embeddings, we constructed word clouds composed of keywords to highlight shipment contents at scale.
Mar 2021 - Dec 2021 9 months
Data Scientist/Engineer
Jackson National Life
  • Built Long Term Forecasting time series model to guide Operations’ monthly and yearly budget decisions.
  • Used Natural Language Processing and Dimensionality Reduction on Advisor/Client data to improve the Sales Forecasting model in production. Through model monitoring, we found the new model far more robust to data drift.
  • Built production-ready automated data pipelines on Azure via Databricks that have saved the Operations Analytics team 20 hours/month.
  • Measured a suite of KPIs for Operations using Bayesian estimation to quantify uncertainty and guide budget decisions and resource allocation. Visualized and presented results in Tableau to executive team.
  • Led the enterprise-wide Data Science and Artificial Intelligence Community of Practice.
Sep 2017 - Mar 2021 3 years 6 months
IT Metrics & Forecasting Analyst II
Jackson National Life
  • Used Python and Tableau to explore large datasets and extract insights for IT executive leaders.
  • Worked on insights ranging from understanding the distributions of system outages and failures, finding outliers and antipatterns during an Agile Transformation, calculating trends and variance differentials in Budget and Actual spend, and highlighting gaps in data quality.

Education

Sep 2019 - Aug 2021 1 year 11 months
Master of Applied Data Science, -
University of Michigan
Sep 2012 - Dec 2016 4 years 3 months
Bachelor of Philosophy/PreMedicine, -
Wayne State University

Portfolio

7 items