Resolved the Data storage issue & upgraded the ETL process from Manual to Automatic
Binding seamless Technology with Finance
GeneralPublished on: Fri Nov 04 2022
A well-established lending firm with a client base across the globe was facing various issues like low inter department engagement and a lack of suitable data extraction processes.
· The cumbersome process of extracting required information via the organization’s brochure.
· Low engagement between Human Resource and other departments.
Tools & Technologies Used
· Languages: Python & React.JS
· Algorithms: Neural Networks, BERT
· Libraries: Spell-checker, Google vocab, Gensim library – for word2vec model, etc., NLTK library – for TF – IDF and text pre-processing, Flask, sklearn, Joblib, pathlib, OS, pickel, JSON
· Additonal Approach: Word2Vector + TF_IDF + Global Corpus
Impact of the implementation team
· A quicker turnaround for the queries raised.
· The query resolution process got boosted by 75%.
· HR department attained a rise of 47% in employee engagement
Key Success Factors
Empowering our solutions with AI & ML helped us in creating more sustainable products for our clients.