Shaily Mishra
Dedicated data scientist with a keen interest in fairness, game theory, mechanism design, and optimization techniques. Enthusiastic about contributing to projects where advanced analytical methods can uncover innovative insights and positively impact business or research outcomes.
- Role
Data and Applied Scientist & Nativescript Developer
- Years of Experience
6 years
- Professional Portfolio
View here
Skillsets
- Java
- Python
- C
- PyTorch
- TensorFlow
- Keras
- Deep Learning
- Scikit-learn
- SCOPE
- SciPy
Professional Summary
6Years
- Jun, 2022 - Present3 yr 9 months
Data and Applied Scientist
Microsoft - Jan, 2017 - Apr, 20192 yr 3 months
Programmer Analyst
ARGUSOFT
Applications & Tools Known
Jupyter
VSCode
PowerBI
.png)
Flask
.png)
Docker
Kubernetes
Selenium
Work History
6Years
Data and Applied Scientist
MicrosoftJun, 2022 - Present3 yr 9 months
Optimized experimentation speed and Enhanced user experience with all new data-driven proposals.
Programmer Analyst
ARGUSOFTJan, 2017 - Apr, 20192 yr 3 months
Front-End Developer - Campaign Management & Survey Tool
Achievements
- Optimized experimentation speed and Enhanced user experience with data-driven proposals at Microsoft.
- Introduced Contextual Bandits for personalized experimentation variants based on user context at Microsoft.
- Contributed to Windows 365:Boot and Cloud at Microsoft.
- Engineered an optimized data telemetry system at Microsoft.
- Developed causal inference models, churn prediction algorithms, feedback analysis, clustering techniques, and forecasting modules at Microsoft.
Major Projects
6Projects
Fair Allocation Neural Network
Revolutionized Game Theory allocation with data-driven neural network achieving 99.9% fairness.
Fair Allocation with Externalities
Explored fair resource dynamics, proving 2-D alpha-MMS non-existence, and redefined proportionality.
Fraud Detection Graph Network
Pioneered fraud detection with Graph Neural Networks, graphically representing transactions, employing attention mechanisms.
Blackjack Strategy AI
AI-driven Blackjack strategy using Reinforcement Learning.
Unsupervised Learning for Manifold Learning and Clustering
Exploring unsupervised techniques to unveil structures in complex datasets.
Multifeatured Face Classification and Visualization
Developing sophisticated face classification system utilizing diverse datasets.
Education
M.S. by Research, Computer Science and Engineering
International Institute of Information Technology (IIIT), HyderabadBTech, Information and Communication Technology
Ahmedabad University, Gujarat (2022)