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Shyam Yadav

@shyamyadav

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Data scientist-in-training specializing in machine learning, time-series forecasting, and data visualization.

India

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What I'm looking for

I seek entry-level roles applying ML and data analytics to real problems, in collaborative teams that value data-driven decisions and growth.

I am a B.Tech student in Bio-Science and Engineering with hands-on experience building ML and deep learning models for real-world problems, including protein sequence classification and retail demand forecasting.

I have processed large datasets (75K+ protein sequences), engineered hybrid biochemical and NLP-based features, and tuned models such as CNNs, LSTMs and Random Forests to deliver robust results (≈85% accuracy, AUC=0.90). I also build end-to-end analytics solutions using SQL, Python, and Power BI to drive procurement and vendor decisions.

I bring strong technical skills in Python, ML/DL, time-series modeling, and visualization, plus practical experience with databases, cloud tools, and collaborative development—seeking opportunities to apply data-driven methods to impactful problems.

Experience

Work history, roles, and key accomplishments

Research Intern

National Institute of Technology Calicut

May 2025 - May 2025 (0 months)

Preprocessed and analyzed 75K+ UniProt protein sequences, engineered biochemical and NLP-based features, and developed CNN and Random Forest models achieving ~85% accuracy and AUC=0.90 for protein sequence classification.

Python TensorFlow scikit learn CNN Random Forest Model Evaluation