RENUKA ELUMALAI

979******* adyqf1@r.postjobfree.com

WORK EXPERIENCE

Copy Editor

Exeter Premedia Solutions

**/****

Client Focused Service, Escalation Handling

INTERNSHIPS

Data Science Intern, Corizo

08/2022

Wine Quality Analysis: The accuracy score of the Random Forest Classi- fier came out to 90% after using the Cross-Validation Score. TOOLS KNOWN

SQL, Python, R, Tableau, MS Excel, Power BI

CAPSTONE PROJECT

Used Cars Data

Project Objective: Help the management to manipulate the design of the cars, and the business strategy to meet certain price levels. Models and Tools Used: Python, Tableau, Power BI, Regression, and Random Forest Model

Major Learning: As a result of preprocessing and transformation, Random Forest Regressor came out with 96% accuracy.

PERSONAL PROFILE

Proficient in data exploration and visualization us- ing tools like MS Excel, Tableau, and Power BI.

Strong analytical skills with a keen eye for detail and accuracy. Ability to translate ambiguous business

and product issues into impactful analysis.

SKILLS

Python Data Analysis (Pandas, NumPy, Mat-

plotlib, Scikit-Learn)

Data Exploration and Visualization

SQL and Database Querying

Analytical and Problem-Solving Skills

Data Collection and Preparation

Spreadsheets and Statistical Tools

Data Cleaning and Organization

EDUCATION

Bachelors of Engineering,

Meenakshi College of Engineering

09/2007 - 05/2011

LINKS

GitHub

LinkedIn