PUJITHA ANKIREDDY

Data Science enthusiast with hands-on experience analysing datasets and building machine learning models. Skilled in Python and SQL, with practical projects in healthcare and education. Committed to using data-driven approaches to solve business challenges.

Google Data Analytics

Developing Healthcare Chatbot for Patient Support

Developed a healthcare chatbot to automate patient support and reduce delays in responding to
common medical and administrative queries. Leveraged Natural Language Processing (NLP)
techniques, including Named Entity Recognition (NER), to extract key medical entities such as
symptoms and conditions from user input and provide context-aware responses.
Tools & Technologies: Python, NLP (spaCy / NLTK), Scikit-learn, Flask
- Implemented text preprocessing and tokenization for handling unstructured patient queries
- Applied Named Entity Recognition (NER) to identify medical entities
- Built an intent recognition system
- Improved chatbot response relevance using entity-based understanding

Mining Educational Data to Predict Student Dropout Rates in the UK

Developed a predictive model to identify students at risk of dropping out by analyzing academic
performance, attendance records, and demographic data. The project aimed to support early
intervention strategies and improve student retention outcomes.
Tools & Technologies: Python (Scikit-learn, Pandas, NumPy), SQL
- Performed data cleaning and preprocessing
- Conducted exploratory data analysis (EDA)
- Built classification models (logistic regression, decision tree)
- Achieved high predictive accuracy in identifying at-risk students
- Provided insights for early intervention strategies