As a Data Analytics Intern at Edify Techno Solutions, I contributed to the development and enhancement of data-driven solutions aimed at improving health and fitness. My primary responsibilities included:Calorie Burn Prediction: Collaborated on the Edify project to design and implement machine learning models for accurate calorie burn prediction based on various health metrics.Data Analysis & Visualization: Processed large datasets to extract meaningful insights and presented findings using visualization tools like Power BI and Excel to aid in decision-making.Model Optimization: Fine-tuned predictive models to enhance their performance, ensuring accurate and actionable insights for end-users.Collaboration & Reporting: Worked closely with cross-functional teams, including developers and health experts, to align analytical solutions with business goals and communicated progress through detailed reports.This experience deepened my expertise in machine learning, data processing, and visualization, strengthening my problem-solving and analytical skills.

I helped develop AI-powered solutions in the fitness and wellness space while working as a machine learning intern at Edify Techno Solutions. Among my main duties were:Predictive Modeling: To improve the Edify platform's accuracy and dependability, machine learning models were created and used to forecast caloric expenditure based on user-specific health data.Data preprocessing: Large datasets were cleaned and prepared to guarantee high-quality inputs for model training, maximizing model performance and cutting down on processing time.Model Evaluation & Optimization: Applied techniques to increase model efficiency and carried out thorough assessments of machine learning models using metrics including accuracy, precision, and recall.Technology Integration: Worked with software developers to ensure smooth operation by integrating machine learning solutions with the Edify platform.Research & Development: investigated cutting-edge methods and algorithms to improve the current models' capacity for prediction.This work gave hands-on experience in machine learning and data science, enhancing my technical understanding and problem-solving skills in real-world applications.