About

Dipakkumar M. is a highly skilled Senior Data Scientist with over 13 years of experience in the Banking, Finance, Security, and Retail domains. He is currently working at Globant as a Cognitive Automation Technical Lead and Solution Architect, where he has been for over 7 years. Dipakkumar is an expert in Machine Learning, Data Mining, NLP, and Computer Vision and has developed solutions in Graph Analysis, Network Intrusion, Transaction, Fraud Detection, Signal Processing, and Feature Engineering. Dipakkumar has generated multiple POCs to transform business cases into Artificial Intelligence solutions, demonstrating his ability to effectively utilize his technical skills and analytical thinking. Dipakkumar has also worked as a Technical Architect at Quick Heal, where he developed intelligent models on Spark Machine Learning to detect new species of malware and protect businesses. Additionally, he has worked at Capgemini as a Senior Consultant, where he implemented Loan Defaulter model improvement by Feature Engineering, Text Analysis, and Data Mining and Cleaning. Dipakkumar holds a Master's degree in Information Systems from Central Queenslan University and a Bachelor's degree in Computer Engineering from Anuradha College of Engineering, Chikhali. He also has a strong educational background in Mathematics and Computer Science, having completed his HSC from DN High School and SSC from VJ Patel Practising High School. Dipakkumar is proficient in a wide range of technologies, including AWS, ML, NLP, Deep Learning, OpenCV, Azure, Spark, SQL, SVM, AI, Python, CNN, Docker, Flask, BERT, Sentiment Analysis, Random Forest, GAN, ETL, Integration, Information Retrieval, Naive Bayes, XGBoost, Keras, Databricks, HDFS, Word2Vec, Corpus, Scikit, test, TensorFlow, Postgres, and Django. With 15.62 years of relevant experience, Dipakkumar is a highly accomplished Senior Data Scientist with a proven track record of delivering innovative solutions in complex domains.