Raveena Raveendran

Analytical and detail-oriented data professional with hands-on experience in data analysis, machine learning, statistical modeling, and business intelligence. Proficient in Python, R, SQL, and Power BI with a solid understanding of data cleaning, visualization, and predictive analytics. Demonstrated success in transforming raw data into actionable insights to support strategic decision-making across sectors including energy, retail, and research. Holds a Master's degree in Data Science and a strong foundation in both technical and communication skills.

Awarded Outstanding Academic Performance for maintaining a consistent GPA of 3.9/4.0 throughout the Bachelor's program.
Awarded Indian President Award for best guide candidate.
Secured 2nd place in the university-wide coding competition, showcasing problem-solving skills and algorithmic thinking.

1. Machine Learning Model for Sentiment Analysis Tools/Technologies: Python, Support Vector Machine (SVM), Regression

Developed a machine learning model for sentiment analysis on online product reviews using SVM and regression algorithms.
Extracted insights into customer sentiment and feedback, enhancing decision- making for marketing and product teams.

2.Loan Status Approval Prediction Model
Tools/Technologies: Python, Machine Learning, Logistic Regression, Decision Trees

Designed a machine learning model to predict loan approval status based on financial and demographic data.
Improved the efficiency of the loan approval process by providing automated and data-driven predictions.

3. Statistical Report on S&P 500 Tools/Technologies: R, dplyr, ggplot2

Conducted an in-depth statistical analysis of the S&P 500 index using R programming and visualization techniques.
Provided actionable insights for investment analysis, helping identify trends and patterns in market performance.

4. Unraveling the Stocking Puzzle:Data-Driven Retail Strategy for Best Mini Carts

Tools/Technologies: Excel, Data Cleaning, Power BI, Sales Analysis
Led data cleaning efforts, ensuring accuracy and consistency in sales data for better business insights.
Analyzed seasonal trends, product performance fluctuations, and proposed targeted stocking strategies to optimize sales and reduce wastage.

• Outstanding Academic Performance Award: Maintained a consistent GPA of 3.9/4.0 throughout the Bachelor’s degree program, demonstrating strong dedication and academic excellence.
• Indian President Award: Honored with the prestigious award for being the best Guide candidate, recognizing exceptional leadership, commitment, and community service.
• University Coding Competition: Achieved 2nd place in a competitive university-wide coding contest, highlighting advanced problem-solving abilities and algorithmic expertise.
• State-Level Science Model Competition: Secured 1st prize for a sustainability-focused science skill model aimed at reducing plastic waste, showcasing innovation and environmental awareness

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