Pranjal Verma
@pranjal.datascientist
Project Trainee (Data Science) at Envestnet Yodlee
Guwahati, India
Pranjal Verma is a data science professional with internship experience at Envestnet Yodlee, where he built topic modeling pipelines on financial transaction data using LDA and PySpark. He is pursuing a Bachelor of Technology in Chemical Engineering at IIT Guwahati and has demonstrated strong competitive performance, including a Gold Medal at the Inter IIT Tech Meet 2022 and placement in the top 5 of the EY Open Science Data Challenge among 13,000 participants. His technical skills include Python, PyTorch, TensorFlow, Hugging Face, and deep learning.
Experience
Project Trainee (Data Science) - Intern
Envestnet Yodlee
Build a Topic Modeling pipeline on the transaction's description and find the misfires in existing categorization. Iterative text pre-processing and cleaning were done to improve the topics' confinement. LDA topic models were trained using Sklearn, Gensim, and Pyspark and were fine-tuned based on the Coherence score. Possible anomaly transactions were found using the Perplexity score.
Education
Indian Institute of Technology Guwahati
Bachelor of Technology
Chemical Engineering
Licenses & Certifications
IBM Data Science Specialization
IBM
Deep Learning Specialization
IBM Data Analyst Specialization
IBM
Generative Adversarial Networks Specialization
Natural Language Processing in Python
Time Series with Python