About
Computer Science & Engineering graduate (Batch of 2026, CGPA 8.3/10) with strong technical skills in data analytics, business intelligence, reporting, and data quality validation. Proficient in Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, Advanced Formulas), SQL, Power BI, and Python (Pandas, NumPy) for collecting, cleaning, analyzing, and presenting complex business data. Experienced in tracking operational KPIs, building interactive reporting dashboards, and collaborating across cross-functional teams to deliver actionable insights.
Skills & Expertise (36)
Work Experience
Software Development & Automation Intern
Stellantis
Jan 2026 - Jun 2026
Collected, cleaned, and validated multi-source enterprise datasets using Excel and Python (Pandas), reducing manual validation effort by 35% across operational workflows. Executed SQL queries and data comparison workflows across platform streams (Carbide -> VDP_PROC -> VDP_DS) to identify data discrepancies and ensure high data accuracy. Created and maintained operational reporting dashboards (Streamlit, Kibana, Power BI), tracking Key Performance Indicators (KPIs) and presenting analytical findings to stakeholders. Collaborated with cross-functional engineering, operations, and product teams to translate business requirements into structured analytical tasks.
Education
Bachelor of Technology (B.Tech) โ Computer Science & Engineering - REVA University
- 2026 ยท Afghanistan
Certifications
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Skills (36)
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