Data Scientist Resume NJ - Hire IT People

SUMMARY:

A highly skilled and passionate Data Scientist with experience in multiple domains. Significant expertise in Data Analytics and Machine Learning. A true people person with ability to manage and succeed in a diverse work environment.
Over six years’ experience in retail, insurance and finance domains. Involvement throughout Data Science project life cycle phases including data extraction, data cleaning, statistical modeling and data visualization, with large datasets of structured and unstructured data. Working experience in Statistical Analysis and Testing including Hypothesis test and A/B test.
Hands - on experience in Machine Learning algorithms such as Linear Regression, GLM, CART, SVM, KNN, LDA/QDA, Naive Bayes, Random Forest, SVM, Boosting, K-means Clustering, Hierarchical clustering, PCA, Feature Selection, Collaborative Filtering, Neural Networks and NLP
Working experience in big data environment like Hadoop Ecosystem including HDFS, MapReduce, Hive, HBase, Spark Framework including Pyspark, MLlib and SparkSQL

TECHNICAL SKILLS:

Machine Learning Algorithms: Linear regression, SVM, KNN, Naive Bayes, Logistic Regression, Random Forest, Boosting, K-means clustering, Hierarchical clustering, Collaborative Filtering, Neural Network, NLP

Analytic Tools: Anaconda 4.0 / 2.X (Jupyter Notebook, LDA/QDA, SVM, CART, Spyder), R 2.15 / 3.0 (Reshape, ggplot2, Dlpr, Car, Mass and Lme4), SAS 9.3, Matlab, Excel

Programming Language: R 3.X, Python 2.X & 3.X (numpy, scipy, pandas, seaborn, beautiful soup, scikit-learn, NLTK), SQL, C

Database: Postgre SQL, Oracle 11g, MySQL, SQL Server, MongoDB

BigData Framework: Hadoop Ecosystem 2.X (HDFS, MapReduce, Hive 0.11, Hbase 0.9), Spark Framework 2.X (Scala 2.X, 9SparkSQL, Pyspark, Mllib)

Data Visualization: Tableau 8.0 /9.2 / 10.0 , D3.js 3.X / 4.X, R-ggplot2, Python-Matplotlib

Version Control: Git 2.X

Operation System: UNIX, MacOS, Windows

WORK EXPERIENCE:

Data Scientist

Confidential, NJ

Responsibilities:

To oversee ETL process. Data extraction and merging using optimized SQL queries from Oracle 12c.
Data aggregation on collected un-structed data in Mongo DB 3.3
Data cleaning, Exploratory analysis and Data Integrity analysis using Python 3.5
Analysis of customer behavior and value using RMF analysis. Segmentation of customers is achieved by K-Means and Hierarchical clustering using R
Development of product Recommendation engine using Content Filtering, Collaborative Filtering and Gradient Boosting Tree algorithms of Machine Learning.
Various predictive data models are developed using Python and Spark whose effectiveness is measured executing various A/B tests.
Dashboard generation and Visualization using Tableau 10 and D3.js
Evaluation of Marketing strategies using quality analytics
Development of customer satisfaction index and improved customer experience using NLP

Environment: Python 3.X, Oracle 12c, MongoDB 3.3, Spark 1.6 / 2.0 (Pyspark, MLlib, Spark SQL), Tableau 10.0, D3.js 3.X / 4.X, Git 2.X

Data Analytics Specialist

Confidential

Responsibilities:

Deployed Machine Learning algorithms to effectively identify insurance and claim applicants.
Claim severity prediction by ranking key features.
Fine-tuned parameters of data models while optimizing their performance using K-Fold Cross Validation
Manipulation of data from SQL server and HDFS using SQL and HiveQL.
Data cleaning, data preparation and feature engineering using Python libraries like Numpy, Scipy, Pandas, Matplotlib, Seaborn and Scikit-learn.
Complex report creation, summaries, charts and graphs using Tableau 10.
Analytical support for underwriting and pricing during actuarial calculations

Environment: Python 3.X, Oracle 10g, Hive 0.11, HDFS, Spark 1.4, Tableau 9, D3.js 3.X, Git 2.X

Data Analyst

Confidential

Responsibilities:

Used Python 2.7 to apply time series models, clustering algorithm and other data mining methods to explore the fast growth opportunities of our clients
Analyzed the traffic queries of various search engines using classification algorithm.
Assisted to improve the liquidity of our ads model.
Based on the data of clients and traffic, designed comprehensive analysis to optimize products and explored the strengths and weaknesses of products.

Environment: Excel 2010, Python 2.7, Hadoop 1.X, Mapreduce, MS SQL Server 2008, Tableau 8.0

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Data Scientist Resume

NJ

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