Open to opportunities

Jai Vanga

@jaivanga

Message

Results-driven Data Science professional specializing in AI and machine learning.

India

Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, with opportunities for growth in AI and machine learning.

I am a results-driven Data Science professional with over 5 years of experience in developing AI and machine learning solutions. My expertise lies in Natural Language Processing (NLP), Generative AI, and Graph Neural Networks (GNN), where I have successfully designed and deployed production-ready models for high-value clients in the finance and banking sectors. My focus has been on critical areas such as fraud detection, risk scoring, and customer segmentation, which have significantly optimized business processes and decision-making.

Throughout my career, I have led teams in fine-tuning large language models and implementing cloud technologies like Microsoft Azure and AWS. My role at Mashreq Bank involved spearheading initiatives that reduced false positives in fraud detection by 23% and improved credit risk assessment accuracy by 15%. I am passionate about collaborating cross-functionally to drive impactful data science initiatives and continuously seek opportunities to leverage my skills in a challenging environment.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Mashreq Bank

May 2022 - Present (3 years 1 month)

Spearheaded the fine-tuning of the LLAMA 2 model for sanctions screening, reducing false positives by 23%. Led a team to develop a risk scoring model, improving credit risk assessment accuracy by 15%. Designed risk rating models on Microsoft Azure, automating credit assessments and cutting processing time by 30%. Implemented fraud detection initiatives using GNN, improving accuracy by 25%.

Natural Language Processing Generative AI Risk Scoring Microsoft Azure Fraud Detection Machine Learning Leadership Docker Kubernetes

Jr Data Scientist

American Express

Sep 2019 - Sep 2021 (2 years)

Processed data from multiple sources, improving accuracy and accessibility. Developed predictive models using KNN and SVM, increasing sales by 10%. Automated reporting processes with SQL and Python, enhancing operational efficiency by 25%. Conducted A/B testing for marketing strategies, leading to a 15% improvement in customer engagement.