Uttkarsh Agrawal

AI Data Scientist

Talent

RoorkeeMember since July 16, 2026

PythonSQLPower BIMachine LearningNLPPandasNumpyMatplotlibSeabornData AnalysisEDADeploymentHuggingFace TransformersPyTorchFlaskDockerDocker HubRenderJSONCTEsWindow functionsMicrosoft Azure AI ServicesAzure AI-900Azure AI-102scikit-learnGoogle Looker StudioAnalytical thinkingBusiness Understanding

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PythonSQLPower BIMachine LearningNLP

About

Data Science enthusiast with experience in data analytics, machine learning, and natural language processing. Proficient in Python, SQL, Power BI, and statistical analysis for data exploration and visualization. Implemented machine learning models and NLP systems, including an intent classification travel chatbot. Strong foundation in data preprocessing, model development, and analytical problem solving for supporting informed decision-making.

Experience

Data Analyst Intern at Excelerate (2025-08 – 2025-09)

Recognized as "Data Analyst Star Performer" for outstanding analytical performance during the internship.
Leveraged Python, SQL, and data analysis techniques to process 200,000+ records, perform exploratory data analysis, and derive actionable insights.
Developed interactive dashboards in Google Looker Studio to monitor key performance metrics and support data-driven decision making.

AI Trainee at ICT Academy (Infosys Foundation) (2025-12 – 2025-12)

Gained hands-on experience with Microsoft Azure AI Services, working with tools and concepts from Azure AI-900 and Azure AI-102
Applied AI and machine learning concepts using Azure Services for building and understanding intelligent solutions.
Worked with cloud-based AI tools to explore natural language processing, computer vision, and cognitive services.
Developed practical understanding of AI model deployment and cloud-based AI workflows.

Data Science Intern at Certed Technologies (2025-07 – 2025-11)

Completed structured training in data Science methodologies and practical application using Python.
Leveraged Python, SQL, and data analysis techniques to build different projects, perform exploratory data analysis, and derive actionable insights.
Built analytical projects using Pandas, Numpy, Matplotlib, and Seaborn to analyze datasets and visualize insights.
Implemented machine learning models using scikit-learn, gaining practical experience with machine learning algorithms and model evaluation.