Summary
Overview
Work History
Education
Skills
Certification
Thesis and Internal Research
Timeline
Generic

Ayyappa Anirudh Vadarevu

Bangalore

Summary

Proactive and analytical Data Science professional with hands-on experience in building predictive machine learning models, performing statistical analysis, and automating data pipelines. Proficient in a range of ML techniques including supervised and unsupervised learning, with expertise in Python frameworks like PyTorch and TensorFlow. Seeking to leverage a strong foundation in data wrangling, advanced analytics, and GenAI to excel as a Data Science Consultant at Deloitte.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Intern Trainee- AI Enterprise Automation

SLK Software
08.2024 - 12.2024
  • Designed and implemented a full-stack AI QueryGPT, integrating a Streamlit user interface with an Azure OpenAI-powered engine to translate natural language queries into schema-aware MSSQL, execute them, and convert results into human-readable responses, thereby automating complex data retrieval and significantly enhancing data accessibility and interpretability for users across all business verticals.

Machine Learning and Deep Learning Intern

Indian Meteorological Department
10.2023 - 02.2024
  • Engineered and deployed advanced predictive machine-learning models using GANs and Vision Transformers, achieving a 15% increase in spatial and temporal accuracy for meteorological events.
  • Performed multi-modal data fusion using RNNs, CNNs, and LSTM-GRU, applying various statistical and data mining techniques for effective data exploration.

Intern

Deloitte
02.2019 - 03.2019
  • Conducted comprehensive data analysis using classification and regression techniques on business case studies, providing actionable insights that supported client decision-making.
  • Performed detailed project feasibility and impact analysis, demonstrating strong analytical and problem-solving skills in a professional setting.

Education

B.Tech. - Data Science and Engineering

Manipal University
Jaipur
09-2025

High School Diploma -

Isha Home School
Coimbatore
09.2021

Skills

  • Programming: Python (Numpy, Pandas, Scikit-learn)
  • Data Visualization: Matplotlib, Seaborn, Plotly
  • ML Frameworks: PyTorch, TensorFlow, Keras
  • Modeling & Algorithms: Gradient Boosting, Logistic Regression, PCA, Clustering (k-means, DBSCAN), LLMs
  • Cloud & MLOps: Azure OpenAI, Docker, CI/CD, OpenMP
  • Concepts: GenAI, Explainable AI (SHAP/Lime), Data Wrangling, Statistical Analysis

Certification

  • Python for Data Science (IIT Madras)
  • Advanced R Programming (IIT Kanpur)
  • Probability and Statistics (Indian Statistical Institute)
  • Computer Architecture (IIT Kharagpur)
  • Cyber Security (IIT Madras)

Thesis and Internal Research

Multi-Agent Deep Reinforcement Learning with XAI Aug 2025

  • Developed and optimized a Multi-Agent Deep Reinforcement Learning (MADRL) system, integrating a Shap/Lime- Explainable AI (XAI) frameworks for dynamic portfolio management; achieved 3.59x portfolio growth (vs. 2.89x for baselines), a 13.81% annualized return (vs. 11.35%), a Sharpe Ratio of 1.03 (vs. 0.95), and a reduced maximum drawdown of 19.81% (vs. 21.85%), significantly enhancing both performance and interpretability in financial decision-making.

Parallel Computing for ML Applications Oct 2023

  • Optimized a CNN using OpenMP, accelerating training throughput by 25% and reducing real-time latency in computer vision applications, demonstrating ability to write scalable and efficient code.

Timeline

Intern Trainee- AI Enterprise Automation

SLK Software
08.2024 - 12.2024

Machine Learning and Deep Learning Intern

Indian Meteorological Department
10.2023 - 02.2024

Intern

Deloitte
02.2019 - 03.2019

B.Tech. - Data Science and Engineering

Manipal University

High School Diploma -

Isha Home School

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Ayyappa Anirudh Vadarevu