Machine Learning Co - Op Resume Charlotte - Hire IT People

OBJECTIVE:

To change teh perception towards data by gathering more insights using my technical and analytical skills, helping teh company make informed decisions.

TECHNICAL SKILLS

Python, R, C, MySQL, PLSQL, NoSQL, HTML5, CSS, JavaScript
SAS Enterprise Miner, Sublime, Microsoft Project 2013, NetBeans IDE, Microsoft Office, Tableau, Visual Studio, Anaconda Navigator, Jupyter
Notebook, RStudio, Tableau, Ms Excel, R studio, Dialogflow, Spark, Hadoop, Agile Scrum, IBM Watson, AWS, A/B Testing
Database Oracle 11g, Workbench, MongoDB

PROFESSIONAL EXPERIENCE

Machine Learning Co - Op

Confidential, Charlotte

Responsibilities:

Designed an algorithm that automatically identifies recurring, non-recurring bills, periodicity of bills and payment amount using Density based clustering models.
Monthly Household Budget Forecasting, using teh expenditure data to make user aware of current v/s desired spending and predict future transaction patterns.
Performed descriptive analytics on teh financial and transactional datasets to identify gaps in data quality and produce accurate and efficient data trends.
Designed a Chatbot using Dialogflow that can use google assistant services, as well as most of teh features provided by teh application.
Identified couple financial spending patterns that's crucial for further addition of features in teh application.

Technologies : Python, SQL, Ms Excel, Tableau, Java Script, Dialogflow

Data Analyst

Confidential

Responsibilities:

Gatheird data to analyse teh preferences from potential customers in terms of cost to illustrate strategy to maximize revenue growth to senior management.
Discovered consumer trends using data mining and statistical analysis techniques and represent teh findings to geographically determine teh profitable products.
Performed descriptive analytics on Personnel Management section.

Technologies : R, Python, MySQL, Ms Excel, Tableau

Embedded C developer Intern

Confidential

Responsibilities:

Managed resource allocation and code quality measurement . implementing documentation discipline.

Technologies: Linux, C, DVB-C