
Adya Mittal
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Adya Mittal
- Bis heute 4 Monate, seit Okt. 2025
AI and Data Science Consultant
KPMG Global Services
Designed and deployed end-to-end data and machine learning pipelines on Databricks, using Python, LLM APIs, and deep learning techniques to extract structured information from unstructured insurance contracts with over 95% accuracy, populating a production database across 12k+ documents. Built an AI chatbot to allow users to interact with data. Deliver end-to-end Azure-based data science solutions across health, finance, and insurance domains, ensuring scalable pipelines and reliable deployment.
- 1 Jahr und 3 Monate, Juni 2023 - Aug. 2024
Financial Risk Analyst
Morgan Stanley
Conducted risk assessments on institutional clients using structured analysis, OSINT research, and anomaly detection to flag irregular patterns and escalate high-risk cases to global compliance teams. Awarded “Spotlight Award” for delivering a critical risk evaluation on a multi-million-dollar deal under aggressive regulatory and commercial deadlines, coordinating directly with senior stakeholders
- 3 Monate, Mai 2022 - Juli 2022
Summer Intern
Morgan Stanley
Identified process inefficiencies through root-cause analysis of manual bottlenecks and collaborated with internal tech teams to propose targeted improvements and automation opportunities projected to increase efficiency by ~30%
Ausbildung von Adya Mittal
- 1 Jahr und 1 Monat, Sep. 2024 - Sep. 2025
Statistics
London School of Economics and Political Science
Core: DL, ML, Graph Analytics, Inference, Time Series, Causal Inference, GLM. Key projects: Graph Learning: Benchmarked GNNs vs Kernels for HIV (PyTorch). Proved kernels (75% AUC) match GNNs (77%) with better interpretability. GenAI/NLP: Built viral prediction pipeline for X vs Bluesky using DistilBERT; identified engagement drivers. Climate DL: Developed and compared Earthformer, VAE, ConvLSTM models to forecast drought trends using ERA5 and SPEI data
- 2 Jahre und 11 Monate, Aug. 2020 - Juni 2023
Economics, Mathematics, Statistics
Mount Carmel College, Bangalore
Economics: Econometrics, Micro & Macroeconomics (Intermediate to Advanced), Development Economics, Indian Economy (Performance & Policies). Statistics: Statistical Inference, Sampling Theory, Probability Theory, Design of Experiments, Industrial Statistics (SQC), Operations Research, Discrete & Continuous Distributions. Mathematics: Real & Complex Analysis, Linear Algebra, Differential Equations, Calculus (Multivariate), Numerical Methods, Abstract Algebra (Groups, Rings, Fields).
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
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