Experience

• 

  Care school of engineering

  Jun 2021 - May 2022

  Data science intern

  ● Personalized College Matching (Machine Learning): Developed a recommendation engine using K-Nearest Neighbors (KNN) and Cosine Similarity algorithms. This system analyzes student data (academic performance, interests, location) to suggest colleges that best fit their profile.● Django Web App Development: Built a user-friendly web application using the Django framework. This involved creating interactive interfaces, implementing views for various pages, and ensuring smooth navigation.● Performance Optimization: Utilized CSR matrices to optimize the system's performance, ensuring fast and efficient college recommendations for students.● Seamless User Experience: Integrated comprehensive error handling mechanisms to prevent disruptions and prioritize a smooth user experience for students searching for colleges. Show less

• 

  Vunet systems

  Jan 2023 - Apr 2024

  Data science engineer

  ● Transformed raw log data into actionable insights: Preprocessed and visualized transaction data using data cleaning, feature engineering, and outlier detection techniques. Built interactive dashboards with HTML, CSS,and JavaScript to present key trends and identify anomalies. ● Reduced technical declines by 40%: Leveraged machine learning models (anomaly detection, classification models) to identify root causes of technical issues in IMPS and RTGS transactions. Implemented targeted interventions based on model predictions, significantly improving system reliability. ● Enhanced customer experience and acquisition: Utilized data analytics (customer segmentation, churn prediction, recommendation systems) to optimize user experience, predict customer behavior, and drive acquisition. Delivered tangible value to the organization through data-driven insights. ● Analyzed customer reviews on the Google Play store: Scraped and analyzed customer reviews using NLP techniques (BERT, NLTK) to perform sentiment analysis and identify customer concerns. Provided valuable feedback for improving app functionality and addressing customer pain points. Show less