Data Analyst Data Scientist Resume

TECHNICAL SKILLS

Languages: Python, R, Java, CWeb Technologies HTML, CSS, XML

Database: MongoDB, Oracle DB, MYSQL

Tools: R Studio, ArcGIS, Tableau, NVIVO, MS Visio

Operating Systems: Unix, Windows, OSX Microsoft Office (Word, Excel PowerPoint, Access, Outlook, Visio)

PROFESSIONAL EXPERIENCE

Data Analyst Data Scientist

Confidential

Responsibilities:

Performing data mining to solve the Problem of duplicate registrations (identity management) and accessing the vulnerability to disasters (resilience index) in Arlington county.
Supporting the team wif technical issues and suggesting simple ways of implementing algorithms in R programming .
Developing data models using machine learning Techniques like classification, clustering, Regression, decision tress in identity management project to get the insights of data and finding potential duplicates.
Working on attribute selection, Calculating the weight and score of attributes, text mining, to define the factors significant in the time of disaster in resilient index project.
Developing a deep learning model in R to understand the sentiments of people from social media platform.
Performing detailed literature review to understand the problem and identify popular methods applied in dis domain.

Confidential

Data Analyst

Responsibilities:

Developed machine learning model in R to predict the financial scores of the customers to develop customer acquisition strategies.
Conducted customer research, in market studies to develop predictive models using R as a part of concentrated effort to improve customer reach.
Queried datasets using SQL and cleaned it using R for performing data analysis to draw inferences.
Text mined the chat/ email to identify the issues customers has wif service, to improve business strategies.
Performed time series forecasting using R to record the customer behavior pattern based on changing strategies.
Applied statistical techniques in R to create and update predictive models for use in claims, pricing, strategy and predicted high risk groups for health and disability insurance.
Experience working in agile development environment, attended weekly, biweekly meetings to give project updates.
Created interactive dashboards on Tableau to assist end users' decision making.

Confidential

Data Analyst (Intern)

Responsibilities:

Performed Test Control Analysis using sql and produced reports in Tableau.
Used random samplings and stratified sampling methods to select the target audience (Control Group) using SQL.
Experience in interpretation of data by comparing/ taking demographic examples using data mining in Excel from different time frames.
Measured campaign effectiveness using T - test and statistical significance in Excel.
Created pivot tables, charts, sorted items using worksheet data and external resources in Excel to interpret customer behaviour pattern.
Skilled in VLOOKUP formula development and using statistics in Excel to draw brief inferances.