Skills

Years of focused experience in Data Science have cultivated a robust skill set, showcasing proficiency in the following key areas:

Generative AI

LLMs, Transformers, Attention Mechanism, Hugging Face, LangChain, OpenAI, Google GenAI.

Python

NumPy, Pandas, Matplotlib, Seaborn, NLTK, Sklearn, Opencv, TensorFlow.

Deep Learning

ANNs, CNNs, RNNs, Data Augmentation, Regularization Techniques.

SQL

Joins, Stored Procedures, Triggers, Views, Indexes.

Machine Learning

Supervised, unsupervised Learning, Feature Engineering, Hyperparameter Tuning, Deployment.

Statistics

Descriptive Statistics, Inferential Statistics, Probability, Hypothesis Testing.