Adept in Python and Power BI, I spearheaded sentiment analysis projects and enhanced decision-making at Oasis Infobyte through insightful e-commerce data analytics. My expertise in machine learning and business analysis drove significant improvements in product strategy and investor relations, showcasing my analytical prowess and strategic thinking. Insightful Data Analyst Intern known for high productivity and efficiency in task completion. Specialized in data visualization, statistical analysis, and database management. Excel in problem-solving, communication, and teamwork to deliver actionable insights from complex datasets.
Sentiment & Emotion Detection Project, Personal Project,
Developed a sentiment analysis tool using Python’s Transformers library and Streamlit for emotion detection
Analyzed text data to classify emotions (joy, anger, sadness, etc.) using pre-trained models, Visualized results with interactive dashboards to show emotional distribution across various datasets.
Stock Price Prediction using Time Series Analysis,
Built predictive models using Python (ARIMA, Prophet) to forecast stock prices based on historical data, Preprocessed data by applying feature engineering techniques, ensuring data integrity and quality, Visualized stock trends and provided actionable insights to investors.