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Solutions Data Engineer Resume

TECHNICAL SKILLS:

Programming Languages: Python, R, MATLAB, SAS, SCALA

Analytics Tools: Beautiful Soup, WordNet, Pandas, TensorFlow, Sklearn, NLTK, Sqoop, Hive, HBase & Spark

Databases & Visualization Tools: Sequel Server 2014, Teradata, MySQL, Hadoop and Tableau

Cloud Experience: AWS, Google Cloud

EXPERIENCE:

Confidential

Solutions Data Engineer

Responsibilities:

  • Core Data Engineering on Cloudera Big Data Distribution with experience with Python, Sqoop, hive, spark, flume, HDFS etc.
  • Evaluate data availability and quality, and extract/transform data for analytic projects within the context of a Hadoop and Non - hadoop environment
  • Building and improving stable, scalable, high-performance large distributed backend processing pipelines and storage systems within the Hadoop and Non-hadoop stack
  • Design analytical structures for business intelligence within the Hadoop & non-hadoop stack, including ML capabilities to support advanced and predictive analytics

Confidential

Solutions Data Engineer

Responsibilities:

  • Used NLP tools to identify to garments from an online fashion website and create bigrams to extract adjective-noun pairs.
  • Examine the functions of time frequency overtime to find similar patterns over shifted time window to predict future trends
  • Build content-based recommendation system using images posted by user and suggest similar products

Confidential, Memphis, TN

Analytics / Programmer

Responsibilities:

  • Enabled the strategic value of maintaining EAN data quality through creation and maintenance of systematic rules to reduce fraud
  • Worked with Revenue Team on building a cash flow prediction system

Tools: used: Teradata, R Studio and Tableau

Confidential, Dallas, TX

Solutions Data Engineer

Responsibilities:

  • Working towards improving demand forecast accuracy > 95% and improved inventory replenishment plan to optimally meet customer requirements during peak and non-peak
  • Analyzing reviews by applying NLP techniques to predict sales volume for new products

Tools: Used: Python, Tableau & Microsoft SQL Server

Confidential

Senior Associate

Responsibilities:

  • Conceptualized, initiated and planned freight utilization tool on Clarke & Wright Algorithm
  • Improved Forecast accuracy of the PAN India Fulfillment Operations > 95%
  • Generate trend reports and analysis to help determine changes to fulfillment strategies, forecast changes, and recommend changes to the assortment as necessary

Confidential

Solutions Data Engineer

Responsibilities:

  • Worked on logistics network modelling, transportation problems and resource allocation problems using optimization toolbox - MATLAB and Microsoft Excel
  • Functioned with Supply Chain Solutions & IT Product to roll out Resource Planning Software as part of Process Improvement Initiatives

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