Data Scientist, Data Analyst, Machine Learning, Python, SQL

NAVITA JAIN

******.******@*****.*** 518-***-**** Dublin, CA, 94568 LinkedIn GitHub

Skills -

Languages - Python, Java, JavaScript, SQL, HTML

Machine Learning, Analytics - Clustering, Classification, Regressions, Feature Selection (Random Forests, k-Means, Support Vector Machines(SVM), Decision Trees), Market Basket Analysis, Text Mining, Bayesian Predictive Analysis

Libraries, Tools and Frameworks Pandas, NumPy, SciPy, Matplotlib, scikit-learn, Jupyter Notebook, Git, Amazon Web Service(AWS), Tableau, Lucene, TkInter, MS Excel

Experience -

Data Analyst, Girl Scouts of Northeastern New York, Feb 2017- Oct 2018

- Performed exploratory data analysis(EDA) and statistical analysis on internal and external data to generate insights.

- Applied Random forest feature importance to identify the important feature/s for member retention.

- Used machine learning techniques to perform trend and pattern analysis on members, programs, donors data, etc.

- Performed end to end data analysis projects and demonstrated findings to directors and executive sta to facilitate informed strategic business decisions.

- Involved in large scale data migration from an existing database to a new database.

- Developed a Python Application using TkInter as a support tool for data migration.

- Queried database using SQL and cleaned it using Python for modeling. Graduate Research Assistant,

Data Mining lab, University at Albany(SUNY), Apr 2015 - Jan 2017

- Developed efficient statistical and data mining techniques for community detection in social networks.

- Modeled topic trends in timestamp data using probabilistic and generative techniques.

- Implemented two-state burst detection model on time series data for graph network using dynamic programming.

System Engineer, Infosys Limited, Mar 2010 - Sep 2012

As an Oracle DBA, Sep 2011 - Sep 2012

- Responsible for database administrative activities for a large and complex Oracle11g and Oracle9i database system.

As a Salesforce Developer, Mar 2010 - Aug 2011

- Implemented, administered and maintained client’s Salesforce business application.

- Created Custom Objects, Custom fields, Custom Tabs, Reports and other components as per clients requirements.

Projects

Sychnronized Communities in large scale graph networks, Master’s Thesis

- Synchornized behavior analysis using spike and ISI-distance on large social networks.

- Performed statistical significance and hypothesis testing using P-value to determine coordinated behavior between nodes.

Influence detection using Politeness and Likeability, Natural Language Processing and Machine Learning

- Developed text analysis model for sentiment and politeness detection.

- Implemented Naive Bayes and Support Vector Machine(SVM) classifier in Python.

- Prepared annotated Twitter dataset with politeness and sentiment labels.

Online Voting Application: BallotBox, Web Development and Software Engineering

- Build the voting module for a customizable online voting application using MVC model and performed full integration.

- Designed and deployed MySQL relational database and the web application on AWS.

Document Retrieval for Explicit Temporal Queries, Information Retrieval

- Proposed a variant of Term Frequency -Inverse Document Frequency (TF-IDF) for relevant documents retrieval in explicit time-sensitive search.

- Performed detailed evaluation of the proposed solution and existing Java based information retrieval software Lucene based on precision and recall.

Discovering Social Circles, Data Mining

- Proposed a solution for categorization of nodes into social circles using k-way partitioning and Jaccard Similarity.

- Evaluated the performance of the proposed solution using balanced error rate and F1 score accuracy metrics.

Education

- Master of Science, Computer Science, State University of New York, Albany Dec 2016

- Online Course: The Data Scientist’s Toolbox, Coursera, by Johns Hopkins University Jun 2014

- Bachelor of Technology, Information Technology, Rishiraj Institute of Technology Sep 2009

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