Tanya Mishra

AI Researcher

Bhopal, Madhya Pradesh, India1 yr 3 mos experience

Key Highlights

Developed predictive maintenance tools for industrial applications.
Hands-on experience with cutting-edge ML frameworks.
Strong foundation in data analysis and machine learning.

Stackforce AI infers this person is a Data Science and Machine Learning enthusiast with a focus on industrial applications.

Contact

Skills

Core Skills

Machine LearningData AnalysisDeep Learning

Other Skills

Analytical SkillsAnalyticsCommunicationContent ManagementDashboardsData VisualizationDatabasesEquinoxEvent ManagementEvent PlanningGraphic DesignJavaJaxLightGBMMathematics

About

🌟 About Me I’m Tanya Mishra — a passionate Data Science and Machine Learning enthusiast driven by the mission to turn raw data into intelligent, impactful solutions. Currently pursuing B.Tech in Computer Science, I’m fascinated by how data, when analyzed right, can reveal patterns, power innovation, and solve real-world challenges. From building fault detection models at BHEL that improved predictive maintenance accuracy, to optimizing AI hardware at IISc Bangalore using JAX and EQUINOX, I’ve learned that true innovation lies at the intersection of data, technology, and purpose. My goal is simple — to add value through every line of code, every model trained, and every insight extracted. I thrive on solving problems, exploring cutting-edge ML frameworks, and creating systems that not only work — but make a difference. 🔍 Always curious. 💡 Always learning. 🚀 Always building towards data-driven impact.

Experience

1 yr 3 mos

Total Experience

1 yr 2 mos

Average Tenure

Current Experience

Bhel bhopal

ML Intern

May 2025 – Jul 2025 · 2 mos · Bhopal, Madhya Pradesh, India · On-site

🚀 New Project: Power Transformer Fault Detection & RUL Prediction for BHEL
🔧 I've developed a predictive maintenance tool using time-series Dissolved Gas Analysis (DGA) data to detect faults and estimate Remaining Useful Life (RUL) in power transformers — a critical asset in industrial giants like BHEL and Nuclear Power Plants.
📊 Project Highlights:
🔍 Fault Detection & Diagnosis (Binary & Multiclass Classification)
⏳ Remaining Useful Life Estimation (Regression)
📈 Time-series modeling of gas concentrations (H₂, CO, C₂H₂, C₂H₄)
🧠 Applications in AI-enabled Digital Twins, Condition-based Maintenance, and Asset Lifecycle Management
📁 Dataset: 3000 CSV files from Kaggle
📌 Stack: Python, scikit-learn, LightGBM, Pandas, Matplotlib
💡 This work empowers proactive maintenance, reduces downtime risk, and supports digital transformation in the power sector.
🔗 Check out the code & detailed notebook here:
👉 github.com/tanya1280mishra/TransformerPredictionB.H.E.L

Pythonscikit-learnLightGBMPandasMatplotlibMachine Learning+1

Indian institute of science (iisc)

Research Internship

Dec 2024 – Jan 2025 · 1 mo · Bengaluru, Karnataka, India

Gained hands-on experience in hardware configuration and system architecture, along with implementing Convolutional Neural Networks (CNN) using JAX and Equinox libraries, focusing on neural network design, hyperparameter tuning, and image classification.
Developed practical skills in algorithm implementation, learning to bridge theoretical knowledge with real-world problem-solving, while adapting to new frameworks and tools like JAX and Equinox.
Contributed to open-source projects like the ScireX library, and participated in organizing the CASML 2024 International Conference, gaining insights into cutting-edge AI/ML research and future career development through mentorship.

JaxEquinoxDeep LearningMachine Learning

Cosmic365.ai

Associate Intern

Jul 2024 – Oct 2024 · 3 mos · Remote

Marpu foundation | ngo

Content Writer

Jul 2024 – Jul 2024 · 0 mo · Bhopal, Madhya Pradesh, India · Remote

As a writing intern at Marpu Foundation, I gained insights into NGO operations and the challenges they face. I developed my writing skills by creating blogs and social media posts, effectively communicating the foundation’s mission and impact across various platforms while deepening my appreciation for their important work.