Neha S

Highly motivated and detail-oriented data enthusiast dedicated to enhancing business performance and customer experience through the power of data. Passionate about leveraging data-driven insights to drive strategic decision-making and unlock valuable opportunities. Proficient in data mining, data visualization techniques and tools. Eager to contribute to innovative projects and eager to continuously expand knowledge in the dynamic field of data science.

Projects

Resume Screening with Natural Language Processing (NLP)

The objective of the project was to develop a model that utilizes Natural Language Processing (NLP) techniques to automatically classify candidates based on the content of their resumes. By leveraging NLP algorithms and machine learning approaches, the goal is to analyze the textual information within resumes and categorize candidates into predefined classes or categories.

• Used TFIDF method to do vectorization
• Utilized NLTK library
• Used KNN algorithm for model building

Flight Fare Prediction

Conducted comprehensive flight price prediction analysis. Employed feature engineering techniques to enhance model predictability. Utilized Random Forest, Gradient Boosting, and XGBoost algorithms for accurate price forecasting. Ensured model robustness through data preprocessing and hyperparameter optimization, validating performance with cross-validation.

• Used Python, Pandas, and NumPy.

SUPERSTORE SALES

Analyzed Superstore sales data with Power BI, creating an interactive dashboard. Unveiled insights on sales trends, product categories, regional sales, and customer behavior. Visualized inventory turnover, profit margins, and customer satisfaction for informed decisions, identifying growth opportunities.