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Trisha NagarTN
Open to opportunities

Trisha Nagar

@trishanagar

I build machine learning pipelines and dashboards that solve operational business problems.

India
Message

What I'm looking for

I'm looking for opportunities to build machine learning, analytics, and automation solutions for real-world business problems while growing through hands-on industry experience.

I've built predictive modelling solutions for JSW Steel Coated Products, including a Python ML pipeline for forecasting zinc consumption on the Continuous Galvanizing Line. I reduced 132 raw process parameters to 68 key variables through statistical feature analysis and correlation studies.

I'm pursuing a B.Tech in Computer Science focused on AI and Data Science, and I build practical tools from NLP-powered ticket triage and churn-risk systems to fraud detection apps and Power BI sales dashboards.

Experience

Work history, roles, and key accomplishments

PL

Data Analytics Intern

Paakhire Creatives LLP

Jul 2026 - Aug 2026 (1 month)

Conducted initial requirements gathering and problem scoping for a business analysis initiative focused on identifying patterns in multi-credit card user behavior. Analyzed core business objectives and delivered a structured problem statement for stakeholder review.

JL

Intern Trainee

JSW Steel Coated Products Limited

May 2026 - Jul 2026 (2 months)

Engineered a predictive model for the Continuous Galvanizing Line to minimize zinc coating variance, building a Python-based ML pipeline to forecast consumption from historical sensor data. Streamlined process analytics by reducing 132 raw parameters to 68 key variables.

Education

Degrees, certifications, and relevant coursework

Poornima University logoPU

Poornima University

Bachelor of Technology, Computer Science (AI & DS)

2023 -

Grade: 9.0 CGPA

Pursuing a Bachelor of Technology in Computer Science with a focus on AI and Data Science, maintaining a CGPA of 9.0.

BV

Bhuvnesh Bal Vidyalaya

Class XII (CBSE), General Studies

2022 - 2023

Grade: 80.0%

Completed Class XII under the CBSE Board with a final aggregate of 80.0%.

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