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DATA SCIENCE

HELPING CLIENTS BUILD INTELLIGENT DIGITAL

SOLUTIONS THROUGH ADVANCED ANALYTICS

RECENT PROJECTS

  • Build Dynamic Pricing for Ecommerce Channel: Team worked on building a rule based dynamic pricing engine which used competitor price data along with other data matrices like margin, inventory, cost etc. to change price of products in real time to remain competitive.

  • Migration of Hadoop Cluster to AWS EMR: This project involved migration of on premise Hadoop cluster to AWS EMR and building additional Big data processing jobs using PySpark on AWS EMR.

  • Build Data Lake on Google Cloud Platform: This project involved migration of ETL jobs and Data storage from on prem Data warehouse built on Teradata to a Data Lake solution using Google Storage and Google Bigquery.

  • Build Clearance pricing application for Markdown Management: This project involved building a new front end interface using Angular js and node js as well as backend services using Spring Boot and MySQL DB. The backend processing for the system was implemented using micro services and Kafka technologies.

  • Build Pricing and Promo Optimization Machine Learning Models: Team worked on building and deploying highly scalable machine learning models for clearance and promotional price optimization. The solution was built using Python, PySpark, Pig and Hive. 

FOCUS AREAS

  • Diagnostic

  • Prescriptive
     

  • Descriptive
     

  • Classification and Predictive

  • Deep Analytics

  • Advanced Data Modeling

 

POSITIONS FILLED

  • LOREM IPSUM DOLOR

BIG DATA

FRAMEWORKS

  • Flink

  • Spark

  • Kafka Streams

  • Google Big Query

  • AWS Athena

SKILLS

  • Python

  • Hadoop

  • R

  • Spark

  • Scala

  • Perl

  • Matla

  • Java

  • C

  • SQL

  • Postgres SQL

  • Hive

  • Pig

  • Scal

  • AWS

  • GCP

  • Azure

  • JSON

  • YAML

  • XML

  • PHP

AWS

  • EC2

  • ELB Lambda

  • API Gateway

  • RDS

  • SQS

  • S3

  • S3 SQL

  • Cloud watch

  • MSK

  • Kinesis

  • EMR

  • CI/CD with Code commit

  • Docker

  • Elastic Container Service

  • Elastic Beanstalk

ALGORITHMS

  • Regression

  • Classification

  • Decision Trees

  • Bayesian

  • Clustering

  • CNN

  • LSTM

  • Text Mining

  • SVM

  • RF

  • XGBOOST

  • Time series modeling

  • Dimensionality reduction

  • SEM

  • GLM

  • GLMM

  • Clustering

  • Neural Networks / Deep Learning / Natural Language Processing (NLP)

  • Neural Networks

Deep Learning

Frameworks

Deep Learning

Algorithms

  • Tensor Flow

  • Keras

  • Pytorch

  • Sonnet

  • Mxnet

  • MLPNN

  • CNN

  • LSTM

  • GAN

  • RBN

Automation / 

C-IC

GCP

  • Big Query

  • Data Flow

  • Compute Engine

  • Cloud Storage

  • Cloud SQL

  • Jenkins

  • GitHub

  • PERL

  • BASH

  • Ansible

LET US HELP BUILD YOUR TEAM

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Peterson Technology Partners is an equal opportunity employer. 

© 2019 Peterson Technology Partners