Tanuja User
@tanujauser
I build end-to-end data pipelines and predictive machine learning solutions.
What I'm looking for
I've built an India Court Case Adjournment Prediction Pipeline that processes 18 GB of judicial data to predict adjournment likelihood, supporting analysis of India’s 5.58 crore pending court cases.
I designed real-time ingestion with Apache Kafka, large-scale ETL and feature engineering in PySpark, orchestration through Apache Airflow, and PostgreSQL storage. I trained Logistic Regression, XGBoost, and LightGBM models and presented results through interactive Power BI dashboards.
I also developed TicketSense, a multilingual NLP pipeline for IT support-ticket classification and resolution-time prediction, including a Streamlit application using XLM-RoBERTa and Meta Llama 3.3 for ticket summarization and response generation.
Experience
Work history, roles, and key accomplishments
Big Data and Machine Learning Professional
CDAC
Completed a Post Graduate Diploma in Big Data Analytics, focusing on data pipelines, machine learning, and NLP.
Education
Degrees, certifications, and relevant coursework
CDAC
Post Graduate Diploma in Big Data Analytics, Big Data Analytics
Grade: 82/100
Post Graduate Diploma in Big Data Analytics with a percentage of 82/100.
Availability
Location
Authorized to work in
Job categories
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