As a Data Analyst Intern at Unified Mentor Private Limited, I delved into the realm of data analytics, collaborating with professionals to extract insights vital for strategic decisions. My role involved data collection, cleaning, and analysis, where I utilized Python, R, and Tableau for statistical analysis and visualization. I contributed to projects aimed at process optimization, presenting findings to stakeholders to drive evidence-based decision-making. Through this experience, I gained a deep understanding of data management, integrity, and security while enhancing communication and teamwork skills. My internship at Unified Mentor was pivotal, providing hands-on experience and preparing me for future challenges in the field of data analytics.

Title: Enrollment Forecasting ModelObjective: To build a predictive model to forecast student enrollment numbers for future academic periods.Data Collection: Collected historical enrollment data, marketing campaign results, and external factors influencing enrollment.Feature Selection: Identified significant features impacting enrollment, such as historical trends, campaign performance, and socioeconomic factors.Data Preprocessing: Cleaned and prepared data by handling missing values and normalizing features. Ensured data consistency across different sources.Modeling and Evaluation: Implemented Time Series Analysis using Prophet. Evaluated model accuracy and reliability using cross-validation and error metrics like MAE and RMSE.Key Achievements: Achieved 95% accuracy in enrollment forecasts.Improved resource allocation efficiency for marketing and admissions.Delivered actionable insights through comprehensive reports and visualizations.