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Shivansh Shrivastava

NOIDA INTERNATIONAL UNIVERSITY|| IEEE Member || Python || Artificial Intelligence || Machine Learning || Data Science || Data Analyst || End-to-End Pipelines || NLP || Deep-Learning

Ghaziabad

4+ years of work experience

Currently pursuing B.Tech from Noida International University
Jul 20223 yrs 11 mosPresent

Greater Noida, UP, India

TECHRISE VISIONARIES TECHNICAL CLUB -SET(NIU)
Jan 20241 yr 11 mosNov 2025

TECHRISE VISIONARIES TECHNICAL CLUB -SET(NIU)
Oct 20236 mosMar 2024

System Tron
Feb 20252 mosMar 2025

– Collected, cleaned, and preprocessed large datasets using Python (Pandas, NumPy). – Built reusable data analysis pipelines and performed statistical analysis and predictive analytics. – Applied machine learning models to identify trends, patterns, and anomalies in business data. – Created data visualizations and dashboards using Power BI and Matplotlib for stakeholder reporting. – Documented workflows, ETL steps, and insights using Jupyter Notebooks.
Bharat Intern
Feb 20242 mosMar 2024

Bharat Intern
Feb 20242 mosMar 2024

– Analyzed structured datasets using Python and SQL to support data-driven decision making. – Implemented supervised ML models and evaluated performance using standard metrics. – Prepared technical documentation and reports explaining model results to non-technical audiences.
MicrOrbital Labs
Oct 20236 mosMar 2024

Remote

Education

Noida International University

B.Tech, Artificial Intelligence

Noida International University

20224 yrs2026
Noida International University

Bachelor of Technology, Computer Science

Noida International University

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Headline

NOIDA INTERNATIONAL UNIVERSITY|| IEEE Member || Python || Artificial Intelligence || Machine Learning || Data Science || Data Analyst || End-to-End Pipelines || NLP || Deep-Learning

About

I’ve worked on building and deploying machine learning solutions that move beyond notebooks into practical, usable systems. Across internships and hands-on projects, I’ve contributed to end-to-end ML pipelines — from data ingestion and feature engineering to model training and deployment — with a strong focus on clarity, reliability, and real-world applicability. I’m currently a final-year B.Tech (AIML) student at Noida International University, where I’ve combined academic fundamentals with applied experience to solve business-oriented data problems. Along the way, I’ve worked on predictive modeling, customer behavior analysis, and NLP-based systems, translating raw data into insights that support better decision-making. My technical work spans Python, SQL, Machine Learning, NLP, Deep Learning, and data visualization, supported by practical exposure to tools like Power BI, Docker, and cloud platforms. I’ve also led technical initiatives as Vice President of Techrise Visionaries, coordinating teams and driving execution on data-driven projects. I’m particularly interested in Junior Data Scientist roles where I can continue building production-ready models, strengthen my applied ML skills, and contribute meaningfully to data-driven teams. Always open to the right opportunities and conversations in Data Science and Machine Learning. 📧 shivansh74151@gmail.com | 📱 +91-7415146199

Location

Ghaziabad

Work experience

Student at Currently pursuing B.Tech from Noida International University, Jul 2022 - Present · 3 yrs 11 mos, Greater Noida, UP, India

Vice President at TECHRISE VISIONARIES TECHNICAL CLUB -SET(NIU), Jan 2024 - Nov 2025 · 1 yr 11 mos

Treasurer at TECHRISE VISIONARIES TECHNICAL CLUB -SET(NIU), Oct 2023 - Mar 2024 · 6 mos

Data Science Intern at System Tron, Feb 2025 - Mar 2025 · 2 mos, – Collected, cleaned, and preprocessed large datasets using Python (Pandas, NumPy). – Built reusable data analysis pipelines and performed statistical analysis and predictive analytics. – Applied machine learning models to identify trends, patterns, and anomalies in business data. – Created data visualizations and dashboards using Power BI and Matplotlib for stakeholder reporting. – Documented workflows, ETL steps, and insights using Jupyter Notebooks.

Machine Learning Intern at Bharat Intern, Feb 2024 - Mar 2024 · 2 mos

Machine Learning Intern at Bharat Intern, Feb 2024 - Mar 2024 · 2 mos, – Analyzed structured datasets using Python and SQL to support data-driven decision making. – Implemented supervised ML models and evaluated performance using standard metrics. – Prepared technical documentation and reports explaining model results to non-technical audiences.

Python Developer at MicrOrbital Labs, Oct 2023 - Mar 2024 · 6 mos, Remote

Education

B.Tech, Artificial Intelligence, Noida International University

Bachelor of Technology, Computer Science, Noida International University

Public links

github: https://github.com/Shivansh212