Etisam Ul Haq etisamhaq

Hi 👋, I'm Etisam Ul Haq

Certified Data Scientist with 3+ years of experience in Data Science, Machine Learning, SQL Databases, Python, Data Analysis and pursuing a Bachelor's degree in Data Science. As an aspiring Data Scientist, I am driven by a strong desire to continuously learn and excel in this dynamic field.
I’m currently learning Data Science, Large Language Models, Machine Learning, SQL Databases, Data Analysis in Python (Pandas, NumPy) and Excel, Data Visualization in Power Bi, Matplotlib, Seaborn, Ploty

Programming and Data Analysis:

Python: Expertise in Python programming for data science applications.
SQL: Proficient in SQL for database management and querying.
Machine Learning: Strong foundation in machine learning techniques and algorithms.
Statistical Analysis: Skilled in statistical analysis for data interpretation and insights.
Pandas: Extensive experience using Pandas for data manipulation and analysis.
NumPy: Proficient in using NumPy for numerical computations and data processing.

Data Visualization:

Power BI: Experienced in creating dynamic and interactive data visualizations.
Excel: Skilled in using Excel for data analysis and visualization.
Matplotlib and Seaborn: Proficient in using Matplotlib and Seaborn for Data Visualization.

Web Development:

Flask: Actively learning Flask framework for building web applications.
Django: Engaged in learning Django framework to develop robust web applications.
JavaScript: Proficient in JavaScript for developing interactive web applications.

LLMs and Generative AI:

LLMs: Experienced in working with large language models for various natural language processing tasks, including text generation, summarization, and conversational AI.
RAG Applications: Skilled in building retrieval-augmented generation applications.
LangChain: Proficient in using LangChain for advanced language model integrations.
Vector Databases: Experienced in working with vector databases such as Pinecone, Chroma, Astra to store and retrieve embeddings for similarity search and enhanced performance in large-scale information retrieval.