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Ritik Raj

Ritik Raj

AI/ML enthusiast with hands-on experience in building real-world machine learning models

Talent
BengaluruMember since May 12, 2026
XGBoostDeep LearningPythonLSTMRandom ForestLogistic RegressionReinforcement LearningDQNPPOMuZero-inspiredData PreprocessingROC-AUCPrecisionRecallF1-scoreTensorFlowKerasPyTorchScikit-learnOracle Cloud InfrastructureSMOTESHAPExplainable AIMonte Carlo Tree SearchConfusion MatrixPR-AUC
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XGBoostDeep LearningPythonLSTMRandom Forest

About

AI/ML enthusiast with hands-on experience in building real-world machine learning models across domains like finance, healthcare, and NLP. Published researcher with expertise in Random Forest, XGBoost, Deep Learning, and Explainable AI (SHAP). Strong interest in solving real-world problems using data-driven approaches.

Experience

Artificial Intelligence and Machine Learning Intern - Elevate Labs - Bengaluru, Karnataka

(2025-09 - 2025-11)

Worked on impactful AI-driven projects, strengthening both technical expertise and analytical problem-solving skills.

  • Developed a Mental Health Chatbot research prototype using Natural Language Processing (NLP) to enable empathetic and data-informed user interactions.
  • Designed and implemented a Stock Market Prediction model using LSTM (Long Short-Term Memory) networks to analyze historical data and forecast stock trends.
  • Gained hands-on experience in data preprocessing, model development, and deep learning workflows using TensorFlow and Keras.
  • Recognized for consistent performance, innovation, and problem-solving abilities, earning the Best Performer award for the internship period.

AI for Sustainability Virtual Internship - IBM SkillsBuild (1M1B, AICTE)

(2025-12 - 2026-01)

Education

CSE-AI/ML - Computer Science Engineering - Artificial Intelligence/Machine Learning - Alliance University (2023 - current)

BS - DataScience - IIT Madras (2023 - current)

Senior Secondary - DAV public School Cantt Area Gaya (2023 - 2023)

Matriculation - DAV public School Cantt Area Gaya (2021 - 2021)

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