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Anurag TiwariAT
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Anurag Tiwari

@anuragtiwari6

I build data pipelines and dashboards that turn business data into decisions.

India
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What I'm looking for

I'm looking for a data-focused role where I can build ETL pipelines, analyze business data, and create dashboards that support better decisions.

At DCM Shriram Fenesta, I validate and process 10–25 customer quotations weekly for uPVC windows, doors, and glazing systems, reviewing technical specifications, BOMs, pricing, and engineering requirements.

I use Advanced Excel, SAP, and Window Maker to analyze pricing and engineering data, maintain product master data, resolve quotation issues, and improve costing consistency. I also conduct wind load calculations and data validation to support compliance with customer specifications and design standards.

Through my E-Commerce Sales Analytics Platform, I built a Python, SQL, and PostgreSQL pipeline to analyze 100K+ transactions. I created Power BI dashboards for sales performance, customer retention, and revenue trends.

I also developed a Job Market Analytics Pipeline using Python, BeautifulSoup, PostgreSQL, SQL, and Power BI to extract, clean, standardize, and visualize hiring, salary, and skill-demand data.

Experience

Work history, roles, and key accomplishments

DF
Current

Estimation Engineer

DCM Shriram Fenesta

Nov 2025 - Present (9 months)

Validated and processed 10-25 customer quotations weekly for uPVC windows, doors, and glazing systems by reviewing technical specifications, BOMs, pricing, and engineering requirements. Performed pricing analysis and data validation using Advanced Excel, managed product master data with SAP and Window Maker, and collaborated with cross-functional teams to ensure accurate and timely quotations.

Education

Degrees, certifications, and relevant coursework

IL

Institute of Engineering and Technology, Lucknow

Bachelor of Technology, Mechanical Engineering

2021 - 2025

Pursued a Bachelor of Technology in Mechanical Engineering, gaining a strong foundation in engineering principles and data analysis.

Tech stack

Software and tools used professionally

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