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Data Scientist  Resume

MichigaN

SUMMARY:

  • Over 7+ Years of varied IT experience includes Data Science (Machine Learning, NLP/Text Mining), Data/Business Analytics, Data Visualization, Software Design, Implementation, Development, and Maintenance of various Web Applications.
  • Extensive experience in Text Analytics/NLP, developing different Statistical Machine Learning, Data Mining solutions to various business problems.
  • Expertise in transforming business requirements into analytical models that scales across massive volume of structured and unstructured data.
  • Good understanding on data preparation techniques.
  • Good industry knowledge, analytical and problem solving skills and ability to work well within a team as well as an individual.
  • Experience working in Waterfall and Agile projects.
  • Ability to quickly adapt to new team and curious to learn new technologies.
  • Extensive knowledge in Data Mining, Machine Learning with big informational datasets of Structured and Unstructured information, Data Acquisition, Data Validation, and Predictive analysis using programming language like Python.
  • Understanding on Hadoop MapReduce and Apache spark.
  • Proficient in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, features scaling, features engineering, statistical modeling (LDA, decision trees, SVM, Naïve Bayes, Vector space model, clustering), testing and validation.
  • Extensive knowledge in performing data manipulation and data preparation techniques using regex, scipy, sci - kit learn, numpy, beautifulsoup, Matplotlib, and pandas etc.
  • Experience in NOSQL databases like MongoDB, Elasticsearch, and CouchBase.
  • Hands on experience in implementing LDA, Naive Bayes, Random Forests, Decision Trees, Linear and Logistic Regression, SVM, Vector Space Model and Clustering.
  • Experience in creating action-oriented chatbots based on business needs using NLP.
  • Experience in setting up and configuring Python environments in AWS for Ubuntu EC2 instances using Linux commands.
  • Experience in creating restful Python API’s using Flask and Apache.

TECHNICAL SKILLS:

Development Technologies: C, C++, ASP.Net, C#, SharePoint, Python 2.7/3.5, Machine Learning, Pyspark, HTML5, Tableau.

Operating Systems: Windows 98, 00, XP, Mac, Linux, AWS EC2.

Utility packages: MS Office 200X.

Databases: Oracle (SQL) 9i/10g, SQL SERVER 2000/2005, Couchbase 3.6, MongoDB 3.4, Elasticsearch 2.1/5.6

IDE worked with: Visual Studio 2005/2008/2010, Anaconda Sypder 3.2/Jupyter Notebook 0.27.

PROFESSIONAL EXPERIENCE:

Data Scientist

Confidential, Michigan

Responsibilities:

  • Integrated data from various databases.
  • Applied data cleaning methods.
  • Preprocessed the data and converted them into vectorized form using TFIDF & Bag of words model.
  • Applied Classification algorithms to find the products type based on their description.
  • Built search engine to search across brokers, different categories and their products.
  • Grouped similar products and users with the help of clustering algorithms.
  • Built prediction systems using machine learning techniques (TFIDF, Naïve Bayes, K-means clustering algorithms, cosine similarity).
  • Built customized recommendation system using collaborative filtering to suggest users with similar products based on their previous views and orders.

Environment: Python 2.7/3.5, Machine Learning algorithms, MongoDB 3.4, Elasticsearch 2.1/5.6, AWS EC2 Ubuntu 14, Flask 0.12, Apache2.

Data Scientist

Confidential,Michigan

Responsibilities:
  • Understand business problems and develop analytical models that scales across large datasets.
  • Data preparation using web scraping methods such as beautifulsoup & urllib2.
  • Fetched indexed data using Elasticsearch queries.
  • Data Cleaning & Data preprocessing by applying regular expressions, feature scaling, stemming and stop words removal.
  • Used Bag of words model & TFIDF to convert the text into vector form.
  • Built prediction systems using machine learning techniques (TFIDF, Naïve Bayes, K-means clustering algorithms, Support Vector Machines and Vector space Model, LDA etc.).
  • Predicted Sentiment Analysis for user posts using MongoDB through Pymongo.
  • Built dashboard analytics for Couchbase data through Couchbase-Python client.
  • Built content based recommendation system to suggest users with similar posts, similar users.
  • Built customized search engine to find relevant posts, relevant posts where a particular user is tagged, relevant posts with attachments.
  • Created Jira chatbot using dialogflow to interact with the user and help them to perform Jira related tasks (Ex: Creating issues/subtasks, assign & view them etc) from Confidential .
  • Created FAQ chatbot to quickly answer website related questions.
  • Configured Python development environment in AWS EC2 ubuntu machines.
  • Created Python restful API’s using Flask and Apache.
  • Conversion of python modules to spark using pyspark.

Environment: Python 2.7/3.5, Machine Learning algorithms, Pyspark, Couchbase 4.6, MongoDB 3.4, Elasticsearch 2.1/5.6, AWS EC2 Ubuntu 14, Flask 0.12, Apache 2.

Technology Analyst

Confidential

Responsibilities:
  • Requirement Analysis & Documentation.
  • Develop the code for new module using C# and Python.
  • Worked on classification models on clinical datasets.
  • Data cleaning & data preprocessing.
  • Built prediction systems using Naïve Bayes, Decision trees and Support Vector machine algorithms.
  • Coding SQL & Oracle Backend.
  • SharePoint Installation & Administration.
  • Preparation of unit test cases.
  • Maintenance Support for the issues.
  • Handling new change requests.

Environment: ASP.NET, C#, SharePoint 2010, Python 2.7, Machine Learning, Oracle 10g, SQL Server 2012

Senior Software Engineer

Confidential

Responsibilities:
  • Requirement Analysis & Documentation.
  • Develop the code for new module.
  • Coding SQL & Oracle Backend.
  • Preparation of unit test cases.
  • Maintenance Support for the issues.
  • Handling new change requests.

Environment: ASP.NET, C#, Oracle 9i, SQL Server 2008

Software Engineer

Confidential

Responsibilities:
  • Preparation of Documents and Develop the code for new module.
  • Coding Oracle Backend .
  • Preparation of unit test cases.
  • Maintenance Support for the issues.
  • Handling new change requests.
  • Involved in deployment.

Environment: ASP.NET, C#, Oracle 9i

Software Engineer

Confidential

Responsibilities:
  • Preparation of Documents and Develop the code.
  • Coding Sql server 2005 Backend .
  • Preparation of unit test cases.

Environment: ASP.NET, C#, Sql server 2005

Software Engineer

Confidential

Responsibilities:
  • Preparation of Documents and Develop the code.
  • Coding Oracle Backend .
  • Preparation of unit test cases.

Environment: ASP.NET, C#, Oracle 9i.

Software Engineer

Confidential

Responsibilities:
  • Preparation of Documents and Develop the code.
  • Coding Oracle Backend .
  • Preparation of unit test cases.

Environment: ASP.NET, C#, Oracle..

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