Aspiring Data Scientist with a strong foundation in statistical analysis, machine learning, and data visualization. Passionate about leveraging data-driven insights to solve real-world problems. Seeking an opportunity to apply my analytical skills and programming knowledge in a dynamic organization.
Applied best practices in Android development and Java programming to reduce crashes and optimize app performance. Gained hands-on experience in debugging and troubleshooting, which enhanced overall application functionality and improved user experience.
I actively participated in tracking project milestones and documenting project outcomes, learning essential project management skills that improved project transparency and team communication.
Developed a chatbot that recommends songs based on user conversation tone, leveraging IBM Tone Analyzer and Last.fm API. Applied Natural Language Processing (NLP) techniques to classify sentiment.
Analyzed a large dataset of restaurants for a food delivery client Jomato, using SQL. Extracted key insights on restaurant performance, customer preferences, and popular cuisines to support business decisions. Developed SQL queries to create reports on ratings, pricing, and locations, helping the client better understand market trends and improve their service.
Analyzed COVID-19 infection and recovery trends using Pandas and Plotly. Built a forecasting model using Facebook Prophet to predict future cases. Visualized key insights through interactive dashboards.
Processed and analyzed customer data using Python (Pandas, NumPy). Implemented classification models (Logistic Regression, Random Forest) to predict churn. Improved model accuracy by feature engineering and hyperparameter tuning.