Paresh Zodape

Detail-oriented Data Analyst with B.Tech in IT (CGPA: 9.03) and internship experience in analytics, reporting, and dashboard development. Proficient in SQL (joins, subqueries, window functions), Advanced Excel (Pivot Tables, VLOOKUP), Power BI (DAX, Power Query), and Python (Pandas, NumPy). Skilled at collecting/cleaning data, monitoring KPIs, identifying trends/anomalies, and presenting actionable insights to stakeholders.

Passionate about improving customer experience and operational efficiency through data-driven decisions.

Data Analytics Intern at Algonive (2025-12 – 2026-01)

• Collected, cleaned, and analyzed 10,000+ sales transactions using Python (Pandas, NumPy) to identify revenue patterns.
• Developed and maintained Power BI dashboards tracking 8+ KPIs for weekly sales performance reviews.
• Performed ad hoc analysis, finding 65%+ revenue came from few categories—leading to targeted marketing.
• Automated recurring data prep workflows using Python, cutting manual processing time significantly.
• Validated data accuracy across Python/Excel outputs, ensuring high data quality standards.

Data Analyst Intern at Inventors (2025-01 – 2025-04)

• Built automated Excel reporting solutions using Pivot Tables and VLOOKUP, reducing manual effort by 3 hrs/week.
• Performed data validation and reconciliation across datasets, ensuring consistency and reporting quality.
• Monitored business KPIs and delivered weekly performance summaries to HR/inventory stakeholders.
• Collaborated with business/operations teams to understand reporting requirements and presented actionable insights.

B.Tech in Information Technology – JD College of Engineering and Management (2021 – 2025)