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1

data engineer /machine learning engineer

  • Involved in Design, Development and Support phases of Software Development Life Cycle (SDLC). 
  • Performed data ETL by collecting, exporting, merging and massaging data from multiple sources and platforms including SSRS/SSIS (SQL Server Integration Services) in SQL Server. 
  • Worked with cross-functional teams (including data engineer team) to extract data and rapidly execute from MongoDB through MongoDB connector. 
  • Performed data cleaning and feature selection using Scikit-learn package in python. 
  • Partitional clustering into 100 by k-means clustering using Scikit-learn package in Python where similar hotels for a search are grouped together. 
  • Used Python to perform ANOVA test to analyze the differences among hotel clusters. 
  • Implemented application of various machine learning algorithms and statistical modeling like Decision Tree, Text Analytics, Sentiment Analysis, Naive Bayes, Logistic Regression and Linear Regression using Python to determine the accuracy rate of each model. 
2

data engineer

  • Worked on several enterprise projects, developed efficient and effective solutions catering the business need.
  • Worked on company’s product dealing with humongous data from designing the console to building it to a optimized one.
  • Optimized project’s components by code refactoring, optimization and solved critical issues like cross-browser compatibility, latency, spam-mail and many more.
  • Worked with ARIMAX, Holt Winters VARMAX to predict the sales in the regular and seasonal intervals. 
3

senior data engineer

  • Responsible for creating migration scripts in Oracle to migrate data from one db to another
  • Responsible for creating validation process to make sure 100% data accuracy and movement
  • Document all test procedures for systems and processes and coordinate with business analysts and users to resolve all requirement issues and maintain quality for same. 
  • Worked on Automating the provisioning of AWS cloud using cloud formation for Ticket routing techniques. 
4

data engineer

  •  Achieved building highly reusable core recommender application used by 5 different projects.
  • Worked with team leader to introduce data pipelines that drastically save up 20x storage usage of target in-memory system.
  • Authored and concisely presented documentations to 3 project owners.
  • Upgraded existing news crawl tool with significant misses reduction of 95%.
  • Coordinated with testers and provided effective solutions in terms of APIs performance and data-related systems.
  • Involved in multiple decision-making businesses with data analysts in addition to offering data-driven reports collected from top traffic websites.
  • Researched and assessed ETL technologies to apply in the upcoming products. 
5

data engineer

  • Automated business process by implementing statistical models and reduced the manual efforts.
  • Have implemented data engineering concept with Hadoop Big Data ecosystem.
  • Participated in development and working on multiple applications/Modules.
  • Worked with Amazon Redshift tools like SQL workbench/J, PG Admin, DB Hawk, Squirrel SQL.