I'm a Data Scientist and AI Educator with expertise in building intelligent systems that solve complex business problems.
class DataScientist:
def __init__(self):
self.name = "Aniruddha Mukherjee"
self.role = "Data Scientist | ML Engineer"
self.languages = ["Python", "SQL", "R"]
self.specialties = ["NLP", "LLMs", "Computer Vision", "Deep Learning"]
self.current_focus = "Building and fine-tuning Large Language Models"
def educate(self):
return "Teaching data science to 100+ aspiring professionals at Scaler Academy"
def solve_problems(self, data):
insights = self.analyze(data)
model = self.build_ml_model(insights)
return model.make_predictions()
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# My Data Science Journey in Code
experience = {
"Machine Learning": ["Supervised Learning", "Unsupervised Learning", "Reinforcement Learning"],
"Deep Learning": ["Neural Networks", "CNN", "RNN", "LSTM", "GAN", "Transformers"],
"Natural Language Processing": ["BERT", "GPT", "T5", "Word Embeddings", "Sentiment Analysis"],
"Computer Vision": ["Object Detection", "Image Classification", "Segmentation"],
"Tools & Frameworks": ["PyTorch", "TensorFlow", "Scikit-learn", "Hugging Face"]
}
continuous_learning = True
while continuous_learning:
learn_new_technologies()
solve_complex_problems()
share_knowledge_with_community()
Intelligent resume analysis tool that leverages AI to evaluate resumes based on key hiring criteria and provide personalized career advice. |
NLP project that predicts relevant tags for Stack Overflow questions using multi-label classification techniques. |
Predictive model that determines if a user will skip a track on Spotify using audio features and behavior data. |
A collection of diverse machine learning projects implementing various algorithms across different domains. |
"Data is the new oil. It's valuable, but if unrefined it cannot really be used."
— Clive Humby