Job Summary
Data Scientist/LLM Specialist with 10 years of experience in leveraging Large Language Models, Data Science, and
Analytics. Expertise spans across Machine Learning, Deep Learning, Data Mining, and Statistical Analysis, with a proven
track record in deriving actionable insights and driving data-driven solutions.
• Expertise in transforming business requirements into analytical models, designing algorithms, building models,
developing data mining and reporting solutions that scales across the massive volume.
• Involved in the entire data science project life cycle and actively involved in all the phases including data extraction,
data cleaning, statistical modeling, and data visualization with large data sets of structured and unstructured data.
• Extensive experience in fine-tuning, and deploying Large Language Models (LLMs), leveraging state-of-the-art
architectures and frameworks. Expertise spans across retrieval-augmented generation (RAG), LangChain, LangGraph,
LlamaIndex, and GraphRAG, integrating vector databases and knowledge retrieval systems.
• Experienced in Data Integration, Validation, and Data Quality controls for ETL process.
• Experience in implementing data analysis with various analytic tools, such as Python, Jupyter Notebook, Tableau, R.
• Strong skills in Linear algebra, Probability theory, and Calculus.
• Strong skills in statistical methodologies such as A/B test, experiment design, hypothesis test, Factor Analysis, ANOVA,
normal distribution, and other advanced statistical and econometric techniques.
• Experienced in Python to manipulate data for data loading and extraction and worked with python libraries like NumPy,
Pandas, Matplotlib, Scikit-Learn, and SciPy for data analysis.
• Proficient in Tableau, Power BI, matplotlib, Seaborn, Folium, D3.js, and ggplot2 data visualization tools to analyze and
obtain insights into large datasets, create visually powerful and actionable interactive reports & dashboards
Key Responsibilities
Data Scientist/LLM Specialist with 10 years of experience in leveraging Large Language Models, Data Science, and
Analytics. Expertise spans across Machine Learning, Deep Learning, Data Mining, and Statistical Analysis, with a proven
track record in deriving actionable insights and driving data-driven solutions.
• Expertise in transforming business requirements into analytical models, designing algorithms, building models,
developing data mining and reporting solutions that scales across the massive volume.
• Involved in the entire data science project life cycle and actively involved in all the phases including data extraction,
data cleaning, statistical modeling, and data visualization with large data sets of structured and unstructured data.
• Extensive experience in fine-tuning, and deploying Large Language Models (LLMs), leveraging state-of-the-art
architectures and frameworks. Expertise spans across retrieval-augmented generation (RAG), LangChain, LangGraph,
LlamaIndex, and GraphRAG, integrating vector databases and knowledge retrieval systems.
• Experienced in Data Integration, Validation, and Data Quality controls for ETL process.
• Experience in implementing data analysis with various analytic tools, such as Python, Jupyter Notebook, Tableau, R.
• Strong skills in Linear algebra, Probability theory, and Calculus.
• Strong skills in statistical methodologies such as A/B test, experiment design, hypothesis test, Factor Analysis, ANOVA,
normal distribution, and other advanced statistical and econometric techniques.
• Experienced in Python to manipulate data for data loading and extraction and worked with python libraries like NumPy,
Pandas, Matplotlib, Scikit-Learn, and SciPy for data analysis.
• Proficient in Tableau, Power BI, matplotlib, Seaborn, Folium, D3.js, and ggplot2 data visualization tools to analyze and
obtain insights into large datasets, create visually powerful and actionable interactive reports & dashboards
Skill Requirements
Data Scientist/LLM Specialist with 10 years of experience in leveraging Large Language Models, Data Science, and
Analytics. Expertise spans across Machine Learning, Deep Learning, Data Mining, and Statistical Analysis, with a proven
track record in deriving actionable insights and driving data-driven solutions.
• Expertise in transforming business requirements into analytical models, designing algorithms, building models,
developing data mining and reporting solutions that scales across the massive volume.
• Involved in the entire data science project life cycle and actively involved in all the phases including data extraction,
data cleaning, statistical modeling, and data visualization with large data sets of structured and unstructured data.
• Extensive experience in fine-tuning, and deploying Large Language Models (LLMs), leveraging state-of-the-art
architectures and frameworks. Expertise spans across retrieval-augmented generation (RAG), LangChain, LangGraph,
LlamaIndex, and GraphRAG, integrating vector databases and knowledge retrieval systems.
• Experienced in Data Integration, Validation, and Data Quality controls for ETL process.
• Experience in implementing data analysis with various analytic tools, such as Python, Jupyter Notebook, Tableau, R.
• Strong skills in Linear algebra, Probability theory, and Calculus.
• Strong skills in statistical methodologies such as A/B test, experiment design, hypothesis test, Factor Analysis, ANOVA,
normal distribution, and other advanced statistical and econometric techniques.
• Experienced in Python to manipulate data for data loading and extraction and worked with python libraries like NumPy,
Pandas, Matplotlib, Scikit-Learn, and SciPy for data analysis.
• Proficient in Tableau, Power BI, matplotlib, Seaborn, Folium, D3.js, and ggplot2 data visualization tools to analyze and
obtain insights into large datasets, create visually powerful and actionable interactive reports & dashboards