Data Analyst Resume

SUMMARY:

Activity seeking an Co - op or Full-Time to utilize and, further hone my acquired knowledge and skills in the field of statistics and data analysis to build a profession of an analyst in the global market.

TECHNICAL SKILLS OTHER SKILLS:

R Programming Classification, Linear Regression, K: NN, Decision Trees, Random Forest, Clustering, dpylr, ggplot, Supervised and Unsupervised learningTableau, QlikView, Matlab AWS Github

Python: Numpy, SciPy, Pandas, Time Series, Seaborn, Scikit-learn, TensorFlow, ANN, CNN, Natural Language Processing(NLP) and Deep Learning.

Big Data: PySpark.VMware VCP 5.5 Windows Server 2003/2008/2008 R2/2012

MySQL, PostgreSQL: Create, query and update databases, Triggers, Views, Aggregate Functions. Microsoft Project, Visual Studio 2017MS Word, MS Powerpoint MS Excel C++ - Classes, Function overloading, s, Pointers

PROFESSIONAL EXPERIENCE:

Confidential

Data Analyst

Responsibilities:

Specializes in collecting, organizing, and analyzing data from various resources and performing ETL.
Working in a fast-paced environment that require multi-tasking of various skills like Windows Servers, Vmware, MySQL
Worked closely with the company to identify customer needs and demands.
Strictly following ITIL (IT infrastructure Library) procedure to resolve incidents.
Build statistical models using historical data to predict if the SMS is spam or not.
Performed data transformations, data cleansing using libraries in python.
Used Naïve Bayes and Support Vector Machine classifier for predicting weather a message is a Spam or not.
Text based Analysis done on each message.
Did data preparation, and outlier detection using MS SQL server and built the model using R.
Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.
Performed data analysis on mixed variable data to determine the key performance indicators (KPIs) of each player.
Design and implement statistical / predictive models to utilize it on diverse sources of data to predict the win percentage of an player

Confidential

Data Analyst

Language: Python

Responsibilities:

Developed pipelines to analyze large simulation datasets using Python libraries like Numpy, Scikit-learn, Pandas etc.
Architected and implemented analytics and visualization components for device data analysis platform to predict if a website is malicious.
Applied classification model to URL that a person is redirected to predict if the website is malicious or not.

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