Adya Mittal

Angestellt, AI and Data Science Consultant, KPMG Global Services
Bangalore, Indien

Fähigkeiten und Kenntnisse

Consulting
Python
R programming language
SQL
Large Language Models
Generative AI
Agentic AI
LangGraph
Langchain
Machine Learning
Deep Learning
Statistical Analysis
Time series analysis
Microsoft Azure
Azure Databricks
Causal Inference
Neural Networks
Data Science
Technology
API
Mathematics
Cloud Computing
Natural Language Processing
TensorFlow
PyTorch
English Language

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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