Ajinkya Patil is a versatile software engineer with nine years' experience in Big Data, machine learning, and analytics, having worked across SAP and Persistent Systems on end-to-end development and research projects. He combines practical expertise in TensorFlow/Keras, Hadoop ecosystem tools (Hive, Impala, MapReduce), Python and Java with hands-on SQL, shell scripting and data visualization using Tableau. His roles have spanned developer, senior consultant, lecturer and thesis researcher, enabling him to translate academic deep-learning research in banking into production-focused proofs of concept. Known for patience, cross-disciplinary problem solving and delivering single-handed module ownership, he thrives on converting ideas into executed systems. Based in Heidelberg, he brings a rare blend of teaching, client-facing communication and technical delivery that accelerates adoption of ML and Big Data solutions.
9 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Applied Computer Science, Master of Science - MS, Applied Computer Science at SRH Hochschule Heidelberg
HSC, Science, First Class with Distinction, HSC, Science, First Class with Distinction at J.D.C. Bytco College of Science
SSC, Science, First class, SSC, Science, First class at P.E.School, Nashik Road, Nashik
Python-based sample code for using external forecast APIs that are part of SAP IBP for Supply Chain.
Contributions:3 PRs, 2 pushes, 1 branch in 2 years 9 months
forecastingpythonsupply-chainsap-ibpibp
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