Nikita Saxena

Developed and deployed a collaborative filtering recommendation engine, leveraging user-item interaction data to personalize product recommendations. This initiative led to a 25% increase in average order value. Implemented a Random Forest Classifier to predict customer churn, achieving an accuracy of 85% and reducing churn rate by 20% through targeted retention strategies. Utilized advanced SQL queries to retrieve and transform data for analysis purposes. Conducted thorough EDA to uncover insights from large-scale customer transaction data, driving the identification of key customer segments and market trends. Engineered relevant features from raw data, such as recency, Engagement Chases, Customer Lifecycle. This resulted in a 10% improvement in model accuracy and a 15% reduction in prediction errors. Employed K-means clustering to segment customers based on purchase behavior, enabled tailored marketing campaigns, and driving a 15% improvement in conversion rate. Applied NLP techniques to preprocess customer feedback and reviews, including text normalization, tokenization, and removal of stop words and punctuation. Received Best Buddy Award twice for mentoring interns & leading them in data projects.

Worked on an internal e-commerce platform for TCS, offering clients personalized dashboards, substantially improving reporting process and aiding a 17% increase in revenue through strategic inventory management insights. Collected, organized, and cleansed data from diverse sources for clients using Excel and the Pandas library. Pronouncedly reduced manual workload by streamlining processes, resulting in a 30% increase in operational efficiency. Effectively communicated data analysis findings by presenting 5+ insightful demos to the internal team, fostering a culture of knowledge-sharing and collaborative brainstorming. Employed Advanced Excel functions (VLOOKUP, Pivot Table) for in-depth data analysis and report creation, reducing manual work by 2 hours and increasing workflow efficiency. Managed a 5-member cross-functional (product, engineering, sales, support) team. Defined project objectives, gathered requirements, and ensured the timely delivery of actionable insights within budget constraints. Received Client appreciation 4 times for Product demonstration to upper management.