Upmanyu Bhardwaj
Data Science Consultant & Team Lead at Accenture
Applied Economics at Madras School of Economics
India
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Data Science Consultant & Team Lead at Accenture
Technical and results-oriented Data Science Consultant with 6+ years of experience leading end-to-end analytics and AI initiatives across financial services, public policy, and customer experience domains. Expertise in developing and deploying large-scale machine learning models, Generative AI (LLMs), and NLP systems using state-of-the-art frameworks (OpenAI, Hugging Face, LangChain). Proven ability to manage multi-disciplinary teams, architect cloud-native ETL systems, and deliver automation tools that drive cost reduction, regulatory compliance, and business transformation. Adept at aligning AI and data strategy with business goals and stakeholder needs in both private and public sector settings.
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Experience
Data Science Consultant & Team Lead
June 2023 - Present
Led a team of 4 data scientists to deliver GenAI-powered solutions in finance and customer experience, resulting in a 25% improvement in client delivery SLAs.
Designed and deployed production-grade LLM applications for CX sentiment mining and scenario-based financial advisory.
Engineered AWS-based ETL pipelines (Python, Lambda) reducing manual operations by 75% and enhancing system throughput.
Advised stakeholders across SC&O and CFO innovation units, leading 10+ GenAI pilots and business case validations.
Delivered anomaly detection tools and KPI dashboards for Fortune 500 clients using Power BI, enhancing real-time insights.
Data Science Analyst
July 2021 - June 2023
Developed econometric models for macro-financial forecasts and ESG scorecards to support executive decision-making.
Built and maintained Power BI dashboards integrated with predictive models for client consumption.
Created rule-based and ML-based classifiers to interpret large volumes of customer and citizen sentiment data using NLP (spaCy/HF).
NatWest Plc
Senior Risk Analyst
July 2019 - July 2021
Spearheaded IFRS9 and Basel III analytics reporting for UK mortgage portfolios worth £10B+, streamlining compliance workflows.
Automated credit risk model calibration using SAS, improving processing speed by 40% and enhancing audit compliance.
Produced risk impact simulations and capital adequacy visualizations used in quarterly regulatory submissions.
Education
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Languages
English
Native
Skills
Data Analysis
Data Analytics
Machine Learning
Financial Data Management
Consulting
Artificial Intelligence / Machine Learning Applications