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Data Scientist Resume

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Mahwah, NJ

EXPERIENCE SUMMARY:

  • Data Evangelist with 16+ years total experience and thorough background into Mathematics/Machine Learning and its application to Product Engineering & Business Processes(CRM, e - commerce) to develop Predictive Models for business & product /service improvement
  • Strong experience in Machine Learning in complex Robotic/Motion Applications, Real Time Sensor Data Networks (IoT) and Machine to Machine (M2M) Interface.
  • Data Science professional who can talk to business leaders to understand their requirement and also code with a quest and passion to discover the unknown
  • Proficient in using R, SQL, Python, on BigData and Distributed Computing Environments i.e Hadoop, Spark, Hana, for extracting data(ETL) and building Predictive models /ensembles
  • Thorough Knowledge on In-memory Data Processing: Spark, Hana
  • Deep understanding of Predictive Analytics and Machine Learning algorithms /Artificial Intelligence i.e. Clustering, Classification & Regression (CART), Forecasting, Association(Recommendation), Neural Networks, Support Vector Machines (SVM), Naive Bayes, Anomaly Detection, Text Analytics, NLP & Deep Learning for Structured /Unstructured Data.
  • Deep understanding of Big Data stack like Hadoop (MapReduce) with R and Hadoop Hana Integration as high speed data processing engine for complex /distributed Enterprise IT landscape.
  • Very good understanding of SAP HANA with HANA Modelling, Predictive Analytics (PAL), Cloud and R Integration with HANA.
  • Quick learner of various new technical concepts in machine learning/data science/AI
  • Industry/Domain Expertise: Retail, Energy, Manufacturing (Automotive, Aerospace), CPG, Hi-Tech (Semiconductors), HealthCare

TECHNICAL SKILLS:

Big Data: IoT, Hadoop, HANA,Spark, Big Query

IoT: M2M, Industrial Ethernet, Sensors

Hadoop Eco System: HDFS, Map Reduce, Hive, HBase

Languages/Tools: R, Python, PySpark, SQL, Java,Tensorflow

Databases: SQL,HANA,MongoDB

ERP/CRM: SAP CRM,S/4 HANA,Salesforce,Oracle Sales Cloud

Cloud: HANA, AWS, Google Cloud, Apache Beam(DataFlow)

PROJECT EXPERIENCE:

Confidential, Mahwah, NJ

Data Scientist

Environment: HANA, Hadoop, Spark(Py), R, Python, GCP

Confidential

Data Scientist

Environment: HANA,Spark,Hadoop, AWS, Telemetry, Python, AWS

Confidential

Data Scientist

Environment: HANA, Hadoop, Teradata IoT, Telemetry, Smart Data Streaming, Python

Confidential

Data Scientist

Environment: HANA, R, Hadoop

Confidential

Project Lead / Bigdata Consultant

Environment: HANA, Hadoop, R, PySpark

Confidential, Detroit, MI

Technical Architect

Environment: C++, SQL, Hive,Hadoop,AWS

Confidential, Sunnyvale, CA

Technical Architect

Environment: C, SQL, SAS, Java, Oracle, SAP

Confidential

Techno Functional Architect

Environment: R, SAP ECC, CRM, SQL, Java

Confidential

Technical Architect

Responsibilities:

Environment: C++, Java, SQL

Responsibilities:

  • Strong experience in Machine Learning in complex Robotic/Motion Applications, Real Time Sensor Data Networks (IoT) and Machine to Machine (M2M) Interface.
  • Data Science professional who can talk to business leaders to understand their requirement and also code with a quest and passion to discover the unknown
  • Proficient in using R, SQL, Python, on BigData and Distributed Computing Environments i.e Hadoop, Spark, Hana, for extracting data(ETL) and building Predictive models /ensembles
  • Thorough Knowledge on In-memory Data Processing: Spark, Hana
  • Deep understanding of Predictive Analytics and Machine Learning algorithms /Artificial Intelligence i.e. Clustering, Classification & Regression (CART), Forecasting, Association(Recommendation), Neural Networks, Support Vector Machines (SVM), Naive Bayes, Anomaly Detection, Text Analytics, NLP & Deep Learning for Structured /Unstructured Data.
  • Deep understanding of Big Data stack like Hadoop (MapReduce) with R and Hadoop Hana Integration as high speed data processing engine for complex /distributed Enterprise IT landscape.
  • Very good understanding of SAP HANA with HANA Modelling, Predictive Analytics (PAL), Cloud and R Integration with HANA.

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