Business 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:
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 2017
MS Word, MS Powerpoint MS Excel
C++ - Classes, Function overloading, s, Pointers
PROFESSIONAL EXPERIENCE:
Confidential
Business 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.
Confidential
Business AnalystLanguage: Python
Responsibilities:
- 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.
Confidential
Business AnalystLanguage: R Programming language
Responsibilities:
- 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
Business AnalystLanguage: 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.