Skills

Here are some of the technologies that are the part of current stack.

Data Science

• Statistics
• Mathematics
• Python
• SQL
• Web Scraping
• Data Visualization
• Data Mining
• Data Wrangling
• Data Cleaning
• Feature Engineering
• Data Storytelling

• Communication Skills
• Problem-Solving
• Domain Knowledge
• Experimentation
• Data Pipelines
• Hyperparameter Tuning
• Time Series Analysis
• Machine Learning
• Deep Learning
• Model Evaluation
• Data Mining

Machine Learning & Deep Learning

• Programming (Python,Java)
• Data Preprocessing
• Data Augmentation
• ML Algorithms
• Model Selection and Training
• Model Evaluation
• Scikit-learn
• Algorithms
• Model Development

• Keras
• TensorFlow
• PyTorch
• Feature Engineering
• Performance Tuning
• Hyperparameter Optimization
• Transfer learning(Feature Extraction and Fine Tuning)
• Evaluation Metrics

Natural Language Processing (NLP)

• Text Processing
• Tokenization
• Embeddings
• Parts of speech Tagging
• Transformers Architecture
• Named Entity Recognition (NER)
• Sentiment Analysis
• Machine translation
• Vector Database

• Text Generation
• Hugging Face
• Text Classification
• Text Vectorization
• Attention Mechanisms
• Language Models (e.g., GPT, BERT)
• Information Retrieval
• Conversational AI
• Dialogue Systems

Generative AI, Langchain & RAG

• GANs, VAEs
• Diffusioon Models
• Langchain Framework
• Keras, TensorFlow, PyTorch
• Data Retrieval Techniques
• Fine Tuning, PEFT, LoRa, Q-LoRa
• RLHF, ORPO
• ChatBots
• Language Models
• Retrieval Augmented Generation

• Data Retrieval Techniques
• LLMs Evaluation Metrics
• LLMs Metrics
• Research Skills
• Problem-Solving
• AI Ajents
• Lang Smith
• Evaluation Techniques for Generative Models
• Q & A ChatBots
• Vector Databases FAISS