Data Classification Analyst Resume Port Washington, NY - Hire IT People

SUMMARY:

Seeking full - time opportunity in the field of Data Science and Computer Science
Data Science Graduate with 3+ years of experience and strong background in analysing data using Python & R.

TECHNICAL SKILLS:

Programming languages: Python (Pandas, Numpy, Matplotlib, SciPy), R Language, JavaScript

Database: MySQL, ORACLE, SQL, MS ACCESS

Web Technologies: JavaScript, HTML, CSS, D3

Tools: R, Python Anaconda/ Jupyter Notebook, Tableau, Alteryx, IBM Data Scientist Workbench, MS Office

Operating System: Windows, Mac, Linux

Other: Google Analytics, Data Warehousing, Statistics, Machine Learning

WORK EXPERIENCE:

Confidential, Port Washington, NY

Data Classification Analyst

Responsibilities:

Leveraged data quality by classifying data using rules for automotive industry that lead to clients buying that data and generated ad-hoc reports using macros, VLOOKUP, pivot tables, data manipulation formulas and functions.
Evaluate effectiveness of classification rule sets and present recommended modifications to improve system performance and extract, manipulate and evaluate accuracy of existing dictionaries.
Classify consumer receipt data through e-commerce and ReceiptPal platforms for automotive industry.

Confidential, New York City

Data Analyst Intern

Responsibilities:

Client data analysis, developing client database, data extraction, data scrubbing
Capturing data using Asset-map and building client database using client fact-sheets
Analysing this client data and creating visualizations to suggest insights
Extracting client data from Facebook and LinkedIn platforms

Confidential, Dartmouth, MA

Data Analyst

Responsibilities:

Conducted data cleaning, munging, analysis and visualization of the freshmen data of Umass Dartmouth.
Implemented Python scripting using Pandas, Matplotlib, Numpy libraries to derive insights regarding the various majors, students, minimum test scores for acceptance for various colleges in the University for the final motive of increasing the graduation rates in various colleges.
Used R Programming for predicting the acceptance of a candidate in college based on his SATs.

Confidential, Dartmouth, MA

Purchasing & Inventory Assistant

Responsibilities:

Scanning and keeping the track for existing and new assets the university has and purchased or was planning on purchasing.
Dealing with the Inventory data sets with help of MS Excel and Python to analyse & visualize the results and generate valuable insights for missing items, new items etc.
This helped the department to get an idea of the missing items and new items.

Confidential

Database Administrator

Responsibilities:

Planning and Development of Database using SQL.
Involved in preparing Approach and Effort Estimation Visual Representation documents.
Involved in the feasibility study, designing the Mock-ups, discussion of the feature and preparing the design document.