Data Scientist/Data engineer with expertise in Machine Learning and AI

Machine Learning and AI
Advanced knowledge in developing and deploying machine learning models, deep learning, and large language models (LLMs). Experience with various algorithms and frameworks including BERT, GPT, and neural networks.

Data Analysis and Visualization
Proficiency in data analysis techniques, statistical modeling, and data visualization using tools like Python, R, SQL, and specialized libraries such as Pandas, Seaborn, and Matplotlib.

Programming and Software Development
Advanced skills in Python programming, with experience in developing web applications using frameworks like Dash and Streamlit. Familiarity with containerization using Docker and version control with Git. 
NoSQL, MongoDB, Neo4j, Apache Kafka, Airflow, FASTApi, Flask, Java
ETL ELT

Bioinformatics and Molecular Biology
Background in cell biology, neurobiology, and immunology techniques. Experience with flow cytometry, immunofluorescence, and molecular analysis methods.

Cloud Computing and Big Data
Knowledge of cloud platforms like AWS and big data technologies such as Spark, Hadoop, Snowflake. Familiarity with distributed computing frameworks.

Natural Language Processing
Experience in NLP techniques including sentiment analysis, text mining, and word embeddings. Worked on projects involving language models and transformers.

Time Series Analysis
Proficiency in time series forecasting using various algorithms like ARIMA, Prophet, and deep learning models for predicting trends and patterns.