Chhitiz Upadhyay
@chhitizupadhyay
Data analyst specializing in AI-accelerated BI with strong Python and SQL expertise.
What I'm looking for
I am a results-driven Data Analyst with hands-on experience building end-to-end data pipelines, predictive models, and BI solutions using Python, SQL, and modern visualization tools.
I leverage LLMs such as ChatGPT, Gemini, and Claude to accelerate data mining, automate code generation, and deliver insights up to 3x faster than traditional workflows.
My internships involved developing predictive models with scikit-learn, creating a full-stack BI application, and implementing production-oriented data management and pipeline architectures.
I have delivered projects including an AI-powered PDF study assistant, a PostgreSQL movie analytics platform, automated data quality tooling, and interactive Power BI sales dashboards, demonstrating both technical depth and applied business impact.
Experience
Work history, roles, and key accomplishments
Software Development Intern
Kodnest Technologies Pvt. Ltd.
Jun 2025 - Present (3 months)
Completed advanced training in data management and implemented data pipeline components for SQL databases and remote backend systems, improving data acquisition and integration workflows.
Machine Learning Intern
Embrizon Technologies
Jul 2024 - Aug 2024 (1 month)
Developed predictive models using scikit-learn for classification and sales prediction, implementing end-to-end workflows including preprocessing, feature engineering, and model evaluation.
Full-Stack Data Science Intern
Webskitters Academy
Jan 2024 - Feb 2024 (1 month)
Built a full-stack BI application with a Python backend and dynamic frontend, executing end-to-end data preprocessing and statistical analysis to ensure dataset quality for ML and reporting.
Education
Degrees, certifications, and relevant coursework
M.C.K.V. Institute of Engineering
Bachelor of Technology, Computer Science (Data Science)
2021 - 2025
Grade: 7.85 CGPA
Pursuing a B.Tech in Computer Science (Data Science) with hands-on coursework and projects focused on data analysis, machine learning, and AI-integrated business intelligence; achieved a CGPA of 7.85.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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