Data Scientist Resume Englewood, CO - Hire IT People

SUMMARY:

Industrial Engineering graduate with Statistics specialization and, currently working as Data Scientist at Confidential . Ability to mine deep insights from large data and be able to derive solutions for undefined problems and implementing data from multiple sources. Independent research, experience working with big data machine learning, math and various statistical techniques and proficient coding in R, Python, Hadoop, and SQL.

CORE COMPETENCIES:

Machine Learning
Propensity Modelling
Sentiment Analysis
Customer Segmentation
Statistical Inference and feature engineering
Deep Learning
Forecasting
Recommendation Systems

SKILL:

R, Python, Tensor: flow, Keras, SAS, Hadoop, SQL, Tableau, UNIX, HTML - JavaScript, MS Excel, Autosys, MINITAB, GitHub

PROFESSIONAL EXPERIENCE:

Data Scientist

Confidential, Englewood, CO

Responsibilities:

Developed end to end machine learning production models for creating target audience in marketing campaigns to increase DISH protect plan and ARPU customer base. Implemented weight of evidence transformations and feature engineering to make robust model.
Developed automation of forecasting models for all 8 million addressable dish customers using ARIMA models and Machine learning algorithm (Xgboost) as part of addressable advertising transition. Incorporated batch wise parallel processing to reduce time and make the process efficient.
Designed and developed a model for customer segmentation using clustering algorithms, creating audience to target, which gave strong insights on customer retention rate, churn prediction, content acquisition. Extended the model by incorporating aspects of various billing cycles and subscription packages.
Developed advertising propensity model for Sling Ad-sales to target customers in ad campaigns as part of addressable advertising transition. Improved the model performance and speed by implementing vectorization.
Addressable forecasting on network level based on DISH viewership.
Developed Latino classification model to predict Latino customers using Machine learning.
Used Xgboost, Random Forest, Logistic Regression, and other statistical techniques for data preprocessing.
Developed a recommender tool based on user behavior by collaborative filtering using Python, HTML-JavaScript.
Algorithms are implemented in R and Python, by Hadoop integration and all we work with Big Data.
Day includes writing code in R, Python, Hadoop, SQL, and develop data driven insights to solve business problems.
End to end model building, automation and solely responsible for developing and managing the projects.

Analyst

Confidential

Responsibilities:

Responsible for handling plant operations and ensure successful running of the plant.
Controlling plant operations, handling daily collected data, analyzed, and preparing reports.
Developed Regression model on concrete data to predict concrete strength
Analyzed time series data on monthly chocolate production to forecast future production
Data mining-Classification of high dimensional data using Machine learning algorithms
Developed a Decision support system by Graphic user interface (GUI) with MYSQL database

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Data Scientist Resume

Englewood, CO

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