AI/ML Intern – Ask Ram Limited, UK
Feb 2025 – Present
Hi, I'm Tania Kapoor
AI/ML Engineer | Data Scientist
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AI/ML Engineer | Data Scientist
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Since childhood, I’ve been driven by a personal desire to make a difference in people’s lives.. A passion that led me to the world of AI and data science. I see these tools as powerful ways to turn raw information into solutions that help people live more comfortable, healthy, and happy lives. To me, every data point is a chance to uncover a story.. A chance to build something that sparks a meaningful change by blending technical creativity with real-world purpose using cutting-edge models and dynamic systems..
A smart EEG-powered desktop app that decodes your brain’s workload in real time, helping track cognitive stress and focus levels.
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SurplusPredict AI takes the guesswork out of renewable energy forecasting. It predicts energy surplus 24 hours in advance, ensuring efficient energy usage and minimizing waste. No more surprises—just smart predictions and better energy management.
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An AI-powered healthcare assistant that acts as a smart interim between symptom onset and delayed GP appointments—providing fast, reliable health analysis and guidance when you need it most.
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SentimentMaster AI is a high-tech emotion decoder, blending old-school unsupervised methods with next-gen transformers to crack customer feedback wide open. It turns raw reviews into gold, delivering ultra-accurate insights with AI superpowers!
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Lost every match in Street Fighter growing up. Built an RL bot as an adult just to restore my honor. It’s now officially the family champion! 🏆😄
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An awesome deep learning project that smoothly tracks human activity in real-time with smartphone gyro data and surveillance feeds—tech brilliance with a fun twist!
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GitHub: View on GitHub
Technical Details: Developed using Python, SVM (polynomial kernel), EEG band-power feature extraction(via MNE), and Tkinter GUI.
Features:
GitHub: View on GitHub
Technical Details: Built with Python, LSTM (Long Short-Term Memory) networks, leveraging time-series analysis.
Features:
GitHub: View on GitHub
Technical Details: Powered by Python, LangChain, GPT-based models, OCR, Azure Blob Storage, and a Multimodal RAG architecture for robust health data understanding.
Features:
GitHub: View on GitHub
Technical Details: Built with Python, VADER sentiment analysis, PCA, KMeans clustering, DistilBERT (fine-tuned with PyTorch)
Features:
GitHub: View on GitHub
Technical Details: Built with OpenAI Gym, Python, Proximal Policy Optimization (PPO), and Deep Q-Networks (DQN) for advanced reinforcement learning techniques.
Features:
GitHub: View on GitHub
Technical Details: Developed with deep learning models for activity classification, utilizing gyroscopic readings from smartphones and surveillance footage.
Features:
Pandas
Scikit-learn
TensorFlow
Keras
PyTorch
Matplotlib
Seaborn
Plotly
LangChain
OpenAI
Python
Java
C++
SQL
PostgreSQL
Oracle
MongoDB
SAP ABAP
React JS
JavaScript
Bootstrap
HTML5
CSS3
Google Cloud Platform (GCP)
Microsoft AzureFeb 2025 – Present
July 2020 – December 2023
January 2020 – April 2020
September 2018 – November 2018
2024 – Present
I’m on a mission with SU VTeam Coding Club to ignite the coding spark in the next gen! It’s all about creating a rad, high-energy space where kids don’t just learn—they thrive. Sharing my tech wizardry with these budding code ninjas is hands-down the most epic gig ever—seeing their eyes light up with passion is pure rocket fuel for my soul!
Cool Moves I Pulled Off:
University of Essex, Colchester, UK | January 2024 – January 2025
Grade: 85% (Distinction)
Key Courses: Data Science (93%), Machine Learning (91%), Intelligent Systems & Robotics (89%), NLP (83%)
Chitkara University, HP, India | August 2016 – July 2020
Grade: 9.13 CGPA out of 10
Harvard Business School Online | October 2022 – December 2022
Email
LinkedIn
GitHub