Priya Khandelwal

About Priya Khandelwal

I\'m currently on an exhilarating journey, completed a Master\'s in Data Analytics at San Jose State University. My voyage into data science has been enriched by 3 years of diving into data modelling, analysis, and software development. This blend of experience and innovation has given me a unique perspective. My toolkit includes Statistics, Python, SQL, React, Javascript, Node.js, Machine Learning and Deep Learning. My hunger for knowledge led me to immerse myself in courses like Machine Learning Fundamentals, Natural Language Processing (NLP), Deep Learning, Big Data, and Statistics from DataCamp. These, along with hands-on learning, have fortified my skills. Before pursuing my Master\'s degree, I worked as a Software Engineer at HCL Technologies for two and a half years, where I developed a cutting-edge system that streamlined the loading, management, and modelling of user data collection for DHL projects, resulting in an impressive 80% reduction in manual intervention. I also revamped the customer-facing user interfaces, improving usability by 60% and ensuring 100% compliance with 508 accessibility standards. Additionally, I mentored developers, helping them improve their skills and performance. SKILLS: Language & Databases: Python (Pandas, NumPy, SciPy, Matplotlib, Scikit-Learn, PyTorch, Tensorflow), JavaScript, MongoDB, MySQL, SQL Server, MySQL, MongoDB, and AWS, HTML, CSS3, JavaScript, React, Redux, NodeJS, Shell Script, CI/CD, Jenkins, Docker, Kubernetes, Ansible Machine learning Technique: Naive Bayes, Logistic Regression, KNN, Linear Regression, Decision Tree, Random Forest GitHub, XGboost, CatBoost, LightGBM. Functional Skills: ETL, Data Processing, Exploratory Data Analysis (EDA), Data Visualization, Predictive Modelling, Data Gathering, Data Modelling, Data Quality Checks, Presentation, Data Pipelines, Agile, Tableau, AWS, Jupyter Notebook, Google Colab, REST, JSON, Slack, JIRA, CNN, NLP, transformer models, attention model etc

Experience

1. Data Scientist

   CVS Health

   Mar 2024 — Present · US

   Developed and deployed custom LLM solutions using OpenAI’s GPT-4, and Mistral 7B, fine-tuning them with LoRA (Low-Rank Adaptation) to optimise performance on domain-specific tasks (e.g, contract analysis, medical report generation), achieving a 15-30% improvement in accuracy over base models- Full-Stack AI Application Development: Designed, coded, and deployed LLM-powered applications (e.g, chatbots, RAG systems) using Python, FastAPI, and cloud platforms (AWS), integrating models like GPT-4, Claude 3, and Llama 3 to meet business needs with measurable performance gains- Designed and scaled an LLM-augmented data processing pipeline using LangChain, LlamaIndex, and OpenAI embeddings, enabling real-time retrieval from vector databases (Weaviate, FAISS) to provide context-aware responses for enterprise applications, cutting query resolution time from minutes to seconds- Preprocessed and cleaned large-scale patient datasets using Python, Pandas, and PySpark, improving data quality by handling missing values, outliers, and inconsistencies- Engineered predictive features such as medication adherence patterns and vital sign trends using NumPy and Scikit-learn, enhancing model accuracy by 15%- Built scalable data pipelines using Apache Kafka and AWS Glue to collect and integrate patient safety data from EHRs, pharmacy systems, and wearable devices, ensuring seamless data flow for analytics- Developed unsupervised learning models using K-means clustering and autoencoders to detect anomalies in patient data, enabling early identification of safety risks like abnormal medication usage- Designed supervised machine learning models (e.g, XGBoost, Random Forests) to predict adverse drug reactions and hospital-acquired infections, achieving 90%+ accuracy on validation datasets- Deployed machine learning models into production using AWS SageMaker and Docker, ensuring scalability and reliability for real-time patient safety monitoring.

Education

• San José State University

  Master's degree, Data Analytics

• APJ Abdul Kalam Technological University

  Master of Computer Applications - MCA, Computer Science

• Dr. Bhim Rao Ambedkar University, Agra

  Bachelor of Science - BS, Computer Science