Ankur Praveer

Market Basket Analysis Using R, VIT University, Vellore, Tamil Nadu  05/01/21

The 'Market Basket Analysis using R' project focused on applying the Apriori and Eclat algorithms to identify frequent itemsets in retail transaction data. These itemsets are groups of products commonly purchased together. By generating association rules from these itemsets, we identified strong relationships between different products. The analysis provided valuable insights for business applications, particularly in developing effective cross-selling strategies.

Search Engine & Review Summarization System, Nanyang Technological University, Singapore
Built an advanced search engine and review summarization tool using PyLucene, NLTK, and Docker.

• Implemented keyword, fuzzy, and geospatial search with BM25 ranking for typo-tolerant and location-based queries.
• Developed sentiment analysis and key phrase extraction to summarize reviews by frequency and user sentiment.
• Created Docker-based setup for efficient deployment, optimized search with data preprocessing (tokenization, stemming, stopword removal).

Skills: PyLucene, NLTK, BM25, Fuzzy Search, Geospatial Filtering, Sentiment Analysis, Docker, Python (pandas, numpy, sklearn)

Implemented a Hybrid Learning-Fuzzy Logic Model for Time-Series Prediction, Nanyang Technological University, Singapore

 Developed a  Interval Type-2 Fuzzy LSTM (DIT2FLSTM) architecture for robust forecasting in high-uncertainty environments, combining LSTM layers for temporal pattern recognition with interval type-2 fuzzy logic for uncertainty handling. Applied the model to stock price prediction, achieving interpretability and improved resilience against noisy data.