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Shreya ThawareST
Open to opportunities

Shreya Thaware

@shreyathaware

I turn vague business questions into data-backed recommendations, KPI dashboards, and actionable reporting.

India
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What I'm looking for

I'm looking for a business or data analysis role where I can turn stakeholder questions into validated insights, KPI reporting, dashboards, and practical recommendations while continuing to grow in SQL, BI, and AI-assisted analysis.

I've delivered end-to-end analysis at Labmentix, pulling and joining data in SQL, connecting trends to operational context, and presenting clear written recommendations rather than just numbers.

I build automated KPI dashboards and MIS reports in Power BI and Tableau, including 10+ dashboards at Labmentix that reduced repeat ad-hoc stakeholder requests. At Immverse AI and AnkHub Technology Services, I cleaned, validated, and analyzed business data while clarifying requirements with cross-functional teams.

I use ChatGPT, Claude, Copilot, and other AI tools daily to identify patterns in unstructured feedback, test hypotheses faster, and accelerate reporting—while verifying outputs before sharing them. My projects span retail sales and inventory intelligence, British Airways customer satisfaction, and video game sales and engagement analysis.

Experience

Work history, roles, and key accomplishments

Immverse AI logoIA

Data & Business Analyst

Immverse AI

Oct 2024 - Apr 2025 (6 months)

Gathered and translated business requirements through stakeholder collaboration and Slack, while conducting online research on companies, products, and services to support business analysis and reporting.

Performed data cleaning, validation, and EDA using SQL, Python, Spreadsheet and Excel, while managing multiple tasks and adapting to changing business requirements.

Education

Degrees, certifications, and relevant coursework

PE

Priyadarshini Bhagwati College of Engineering

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Grade: 3.3/4

Pursued a Bachelor of Technology in Computer Science and Engineering, graduating with a GPA of 3.3/4.

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