AISHWARYA RANA

Boosted customer segmentation accuracy by 30% by combining DBSCAN and K-Means clustering, leading to more precise marketing targeting. Identified three high-value customer segments contributing to 40% of total sales revenue through exploratory data analysis (EDA), directly impacting business strategy. Increased retention prediction accuracy by 25% through the development of a predictive model, helping the company enhance customer loyalty initiatives. Optimized marketing ROI by 20% in the first quarter by focusing marketing efforts on high-value customer segments identified via data-driven insights. Created an interactive dashboard to visualize customer segments and key business insights, empowering decision-makers to implement data-driven strategies. Developed and deployed diverse machine learning models with an 80% average accuracy using regression, classification, clustering, and dimensionality reduction techniques in Python. Collaborated with cross-functional teams to deliver end-to-end data solutions, translating complex technical concepts for non-technical stakeholders. Focus on competitive advantage, cost reduction, and improved product performance. Stay updated on the latest research and advancements in AI/ML, applying innovative methods to improve model performance and scalability.

Coursework included Data Analytics, programming, Python, R, SQL, Machine learning, NLP, Advanced ensemble learning, Deep Learning, Supervised Learning, Unsupervised Learning, CNN, RNN, ANN, KNN, LLMs, LLAMA, GANs, VAEs, AI, Segmentation, SVM, statsmodels, Descriptive Statistics, Big data techniques.

Coursework included Programming languages, DBMS, Data Structures Algorithm, Computer Networks, Software Engineering, Cloud Computing.