My Projects
Talent Retention Strategy using Predictive Modeling
Performed exploratory data analysis to find relation between different factors affecting the attrition of employees present in a company. Obtained a ROC score of 94% by implementing RandomForest Classifier which was deployed using Heroku. The model will seek to provide actionable insights to retain valuable talent and improve overall workforce stability and performance.
Project Link
Unravelling Customer Emotions in Air Travel through Twitter Data Analysis
Predicted customer sentiment based on the Twitter reviews about an airline using Naïve Bayes Classifier by using techniques like tokenization, bag of words (Bigram, Ngram) & Feature Extraction (Count Vectorizer, TF-IDF) which helped achieve accuracy of 90%, providing insights into customer satisfaction, allowing airlines to make better decisions, improve services, and enhance experiences.
Project Link
Transforming Walmart Store Sales Forecasting
Forecasted sales of a Walmart Store using Linear Regression. Adopted hyperparameter tuning (Grid Search, Randomized Search CV) and Regularization Techniques (Lasso Regression - L1) which decreased the RMSE metric by 30% allowing to better optimize inventory management, enhance customer experience, and drive significant revenue growth for Walmart stores.
Project Link
Shaping Healthier Futures: Advancing Diabetes Risk Anticipation through Predictive Modeling
Through this project, I am committed to harnessing cutting-edge predictive analytics in the realm of diabetes management. By accurately forecasting potential diabetes cases using logistic regression, we can enable early interventions, personalized treatment plans, and ultimately contribute to improved patient outcomes and a healthier society.
Project Link
Elevating Patient Care: Proactive Hospital Readmission Avoidance
This project is driven by the goal of implementing predictive analytics to proactively address hospital readmissions. By identifying patterns and risk factors, we can empower medical teams to intervene, enhance patient care strategies, and minimize unnecessary hospital visits, ultimately leading to improved patient well-being and optimized healthcare resources.
Project Link
Enriching Travel Experiences: Anticipating Hotel Bookings through Data-Driven Insights
This project reflects my dedication to leveraging data science to enhance the way we travel. By developing advanced predictive models for hotel bookings, I am striving to empower travelers with personalized recommendations, optimize hospitality industry operations, and elevate the overall quality of journeys for people around the world.
Project Link
Augmenting Retail Spaces: Unveiling Strategic Insights through Mall Segmentation Analysis
This project underscores my commitment to revolutionizing retail experiences by employing cutting-edge data science techniques to segment malls effectively. By undertaking this project, I am aiming to offer mall owners actionable insights that can lead to optimized tenant mix, improved visitor engagement, and the creation of vibrant shopping destinations that cater to diverse consumer preferences.
Project Link
Fostering Effective Connections: Anticipating Telemarketing Success through Data-Backed Strategies
This project embodies my dedication to transforming telemarketing through data science. By predicting telemarketing success, I aim to refine outreach approaches, maximize customer engagement, and empower businesses to cultivate meaningful connections that drive growth and build lasting customer relationships.
Project Link