Big Data, Hadoop, Spark, Machine Learning, Data Science, AI, IoT
Summary: Big Data & Analytics professional having software architecture and development experience with Big Data (Hadoop, Spark, Storm, Kafka, ElasticSearch, NoSQL DBs), Data Science (Machine Learning, NLP, R, Python, Java, Scala), and Cloud Computing technologies.
Big Data & Data Science case studies:
1) Real-Time Data Analytics - Helped to build a real time data processing & analytics platform for fraud analytics to a financial organization from Middle East. Technologies used are Flume, Kafka, Storm, Spark, MLlib, SparkSQL, and Mongo DB.
2) Migration to Big Data Stack - Architected a plan for a major healthcare company to move from legacy platform to a big data stack based on the Hadoop ecosystem technologies. Implemented automated incremental data migration using Hadoop, Scoop, Hive, Scripting.
3) Consumer Analytics product – Architected and developed consumer analytics product for ecommerce, retail customers. It offered advanced analytics (predictive analytics, recommender systems) using Spark, R, Python, Scala, ML, HBase, ElasticSearch.
Trainings:
1) Machine Learning (Stanford University - Coursera): Linear regression, Logistic regression, Neural networks, Support Vector Machines, Clustering, Anomaly detection, Recommender systems, Machine learning system design.
2) Data Science Specialization (Johns Hopkins University - Coursera): Getting and Cleaning data, Exploratory Data Analysis, Reproducible research, Statistical Inference, Regression Models, Practical Machine Learning.
3) R Programming (Johns Hopkins University - Coursera): Data types, sub-setting, control structures, functions, scoping rules, looping functions, debugging tools, R-profiler.
4) Big Data and Hadoop Master Class: Big Data, Hadoop Technology stack, MapReduce, HDFS, Hive, Pig, Common utilities, Hadoop distributions, Real world use cases and case studies.
5) ITIL v3 Certified: Service life cycle management
6) Certified Scrum Master: Scrum principles and values, scrum team, roles, events
Work Terms
Contract, consulting