Built 5 AI projects, applying Python and TensorFlow to solve real-world problems, refining technical skills through hands-on coding challenges.Participated in 5 weekend hackathons, collaborating with peers to create innovative AI solutions, improving problem-solving skills under time constraints. Led a final project focused on developing an AI-powered recommendation system for e-commerce, which generated over 1,000 user accounts by enhancing personalized shopping experiences, integrating backend development and machine learning models.

Analyzed over 10,000 consumer reviews using Python (Pandas, NumPy) and Gemini AI, generating actionable insights that informed product strategy, contributing to a 10% improvement in consumer satisfaction for targeted products.Applied sentiment analysis techniques (TextBlob, NLTK) to categorize feedback, identifying key themes and pain points, resulting in a 12% reduction in negative feedback for newly launched products.Performed exploratory data analysis (EDA) on large datasets, using Python's Matplotlib and Seaborn libraries, identifying trends that led to refined marketing campaigns and a 10% increase in engagement.Created data visualizations including histograms, box plots, word clouds, and scatter plots, enabling stakeholders to make informed decisions on brand-building strategies.Cleaned and processed large datasets, eliminating over 90% of inconsistencies, resulting in more reliable data for strategic business insights.Delivered a final presentation with strategic recommendations that directly influenced product enhancements and marketing strategies, improving overall brand performance.

Provided data-driven insights using Python and SQL, increasing sales growth opportunities by 15%.Analyzed sales data with Microsoft Excel to identify patterns, trends, and key performance indicators, leading to better forecasting.Examined customer data to understand buying behavior, preferences, and demographics, contributing to more targeted marketing strategies.Utilized Tableau to create visual reports that presented findings clearly and reduced report preparation time by 20%.Collaborated with cross-functional teams to implement data-driven decision-making processes, streamlining workflows and improving team efficiency.