Data Analytics Course with Internship Training

Worked on a project to segment our client's customer base to help optimize marketing strategies. Utilized clustering algorithms and data visualization to identify distinct customer segments based on their behavior and demographics. The insights gained allowed our client to tailor marketing campaigns, resulting in a 15% increase in conversion rates.

Collaborated with an industrial client to develop a predictive maintenance model using sensor data. This project involved preprocessing large datasets, building machine learning models, and implementing a real-time monitoring system. By predicting equipment failures in advance, the client achieved a 20% reduction in maintenance costs.

Conducted sentiment analysis on social media data for a marketing company. Developed natural language processing (NLP) models to analyze user sentiment toward their products and competitors. The insights derived informed the client's social media engagement strategy, resulting in a 25% increase in positive mentions.

Implemented a time-series forecasting model for a leading e-commerce platform. Analyzed historical sales data, identified trends and seasonality, and built a predictive model to forecast sales for various products. The accuracy of the model helped the client optimize inventory management and achieve a 10% reduction in carrying costs.

Worked with a financial institution to develop a fraud detection system. Built machine learning models to identify suspicious transactions and patterns. The system helped the client reduce fraud losses by 30% and enhance security for their customers.

Collaborated with a healthcare provider to analyze patient data. Performed data cleaning, feature engineering, and statistical analysis to identify key factors affecting patient outcomes. The insights gained contributed to the development of personalized treatment plans and improved patient care, resulting in a 15% reduction in readmission rates.