Sailesh M.

Sailesh M.

Head of Advanced Analytics - Data Science & AI(Supply Chain) @ Coca-Cola Bottlers Japan Inc.

About

Hello, Thanks for visiting my profile. I have completed my masters in Data Science from IIM Calcutta/ISI/IIT Kharagpur (PGDBA) and hold a total work experience of more than 5 years in analytics field in diverse industries, currently working as Senior Consultant Data Science at KPMG Japan's Digital initiative wing - Ignition I was employed as the lead data scientist with Daimler Trucks Asia for Sales and Customer Services Strategy team. I have previously worked as an Analyst with True North Ventures (formerly IVFA). My work profile involves optimizing processes and improving customer experience using analytical tools and data science algorithm at one of True North's portfolio company Cloudnine. I am an alumni of Post Graduate Diploma in Business Analytics (PGDBA) - 2017 batch, a course offered jointly by IIM Calcutta, IIT Kharagpur and ISI Kolkata. I have experience in dealing with real world data problems, and providing solutions via Data Analytics, Data Mining, and Machine Learning Algorithm. An avid Kaggler, having featured in the top 1%ile of Kagglers around the world. Adept at data visualization, analysis in R, Python, Julia. Have experience in database management. Proficient in Statistical modelling, predictive Analytics, deploying machine learning algorithms, deep learning, ensembling, NLP, Information Retrieval methods and Big Data analysis. Have worked on a varied range of data sets from predicting search relevance, classification, customer satisfaction, conjoint analysis, time series data etc. I take keen interest in Healthcare Analytics, Marketing Research and Analytics, Risk Analytics and Quantitative Finance and Social Network Sentiment Analysis,NLP and deep learning methods.

Country

Japan

City

Greater Tokyo Area

Industry

IT Services and IT Consulting

Skill

Algorithm Development, Data Science, Optical Character Recognition (OCR), MLOps

Sailesh M.'s Contact Information

Email

******@***.com

Phone

(**) *** ****

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