Data Analytics Practicum Intern Resume Dallas, Texas - Hire IT People

SUMMARY:

Highly analytical and process - oriented student with 2+ years of experience interpreting and analyzing data in order to drive successful business solutions. Excellent understanding of business operations and analytics tools for effective analysis of data.

TECHNICAL SKILLS:

Programming Languages Databases Tools & IDE: Python, R, SAS, Java, C, Perl MySQL, Microsoft SQL Server, Oracle, Mongo DB Tableau, Power BI, Qlikview, STATA, MS Excel

Bi g Data Technologies: Statistical methods & Machine Learning

Web/Application Development: HDFS, Flume, Sqoop, Hive Regression, Classification, Clustering jQuery, JavaScript, HTML5, CSS3, JDBC Pig, Spark. Survival Analysis, ANN, Keras, Tensorflow, NLP JSON, Ajax

PROFESSIONAL EXPERIENCE:

Confidential, Dallas, Texas

Data Analytics Practicum Intern

Responsibilities:

Analyzed various factors contributing to poverty and applied Classification models using Python
Segmented the cities and applied clustering algorithms to analyze the high opportunity index for better targeting
Developed and maintained ETL scripts to scrape data from external web sites and load cleansed data into a MySQL DB

Confidential

Senior Systems Analyst

Responsibilities:

Used Predictive analytics and data mining techniques to forecast company sales of new products with a 95% accuracy rate
Developed Python based API (RESTful Web Service) to track sales and performed sales analysis using Flask, SQLAlchemy and PostgreSQL
Increased speed and memory efficiency by implementing code migration to convert python code to C/C++ using Cython
Involved in ETL code using PL/SQL in order to meet requirements for Extract, transformation, cleansing and loading data from source to target data structures
Used Bulk Collections for better performance and easy retrieval of data, by reducing context switching between SQL and PL/SQL engines
Generated weekly and quarterly Metrics using Tableau to track trends, changes in business climate, and statistical variances
Improved data mining processes, resulting in a 20% decrease in time needed to infer insights from customer data used to develop marketing strategies
Tracked the site traffic and extracted monthly traffic reports from Google analytics to evaluate page performance of 4000+ products and to simplify the process of website redesign project

Confidential

Telecom customer churn

Responsibilities:

Determined the best classification model and predicted customer churn for the telecom dataset
Achieved 80% accuracy by feature engineering and determined the most important features to predict customer churn

Confidential

Fashion MNIST

Responsibilities:

Performed data slicing and trained a CNN using Tensorflow and Keras for classifying clothes in the Fashion MNIST dataset and got a validation accuracy of 0.91 after training for 50 epochs.

Confidential

Data Analysis

Responsibilities:

Performed various Regression techniques using Python.
Data imputation was done using Pandas.
Performed data slicing and built random forest model using machine learning library scikit-learn.
Created visually impactful dashboards in Tableau for data reporting by using pivot tables and VLOOKUP.
Extracted, interpreted and analyzed data to identify key metrics and drawn conclusions.

Confidential

Trending YouTube Video Statistics

Responsibilities:

Performed extensive data analysis using R, by applying data mining techniques on factors considered for making the video trending.
Used various regression and classification techniques like Linear Regression, Logistic Regression, LDA, KNN, CART to predict the categories of the videos.
Implemented sentiment analysis and created word cloud on words that appeared frequently on comments

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Data Analytics Practicum Intern Resume

Dallas, TexaS

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