Open to opportunities

Rohit Pant

@rohitpant

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Senior Data Scientist with expertise in Machine Learning and AI solutions.

India

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What I'm looking for

I am looking for opportunities that foster innovation, collaboration, and continuous learning in data science.

I am a Senior Data Scientist with over 9 years of experience in delivering significant business impact through advanced Machine Learning, Natural Language Processing, and AI solutions across various domains including Banking, Fintech, and Regulatory sectors. My expertise lies in designing scalable ML/AI systems and leading cross-functional teams to deploy production-ready models that address critical business challenges such as risk and fraud detection.

Throughout my career, I have successfully translated complex algorithms into actionable business outcomes, mentoring high-performing data science teams along the way. My recent role at NAB involved building a GenAI-powered internal knowledge assistant that improved resolution times by 35% and enhanced first-contact resolution rates by 20%. I have also led initiatives that optimized AML alerts, saving significant costs while ensuring compliance and risk management.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

NAB

Jan 2023 - Present (2 years 7 months)

Built a GenAI-powered internal knowledge assistant using LangChain, OpenAI, and Weaviate to support customer-facing teams, cutting resolution time by 35% and improving first-contact resolution by 20%. Led AML and market abuse detection initiatives, including optimization of AML alerts (25% boost in SAR conversion, ~$300K saved) and development of a batch wash-trade detection pipeline (XGBoost, AWS

Lang Chain Weaviate XGBoost AWS Sagemaker RAG LLM MLOps NLP

Senior Data Science Consultant

EXL

Mar 2021 - Present (4 years 5 months)

Built IFRS 9-compliant credit risk models (PD/LGD/EAD) using logistic regression, reducing defaults by 11% and saving $600K annually in loan losses. Improved classification accuracy by 12% and reduced complaint review times by 25% by using a transformer-based NLP (fine-tuned BERT model).

IFRS 9 Logistic Regression NLP BERT REST APIs

Data Analyst

Wipro

Nov 2015 - Present (9 years 9 months)

Developed a high-accuracy churn prediction model, supporting customer retention strategies and revenue forecasting. Automated ETL processes and standardized data workflows (Python, SQL), reducing manual processing time by 20% and saving $150K annually.

Churn Modeling ETL Python SQL Workflows Data Analysis

Education

Degrees, certifications, and relevant coursework

Uttarakhand Technical University

Bachelor of Technology, Electronics and Communication Engineering

2011 - 2015

Completed a Bachelor of Technology degree with a focus on Electronics and Communication Engineering. Gained foundational knowledge in various technical subjects relevant to the field.