Manas Suggu
Data professional with 2+ years of experience in the field of data analytics skilled in developing scalable reporting solutions to enhance decision-making
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About
Data professional with 2+ years of experience in the field of data analytics skilled in developing scalable reporting solutions to enhance decision-making. Proven ability to optimize data pipelines, automate processes, and build impactful dashboards.
Experience
Data Engineer at WIPRO Ltd (2022-05 – 2024-08)
Centralized Reporting Solution (Refinery Mechanical Integrity Dashboard)
- Extracted, cleansed, and transformed data from multiple upstream source systems, defining business logic and standardizing reporting formats previously scattered across 40+ manual Excel templates and ad-hoc inputs from central solutions teams.
- Mapped data sources identified data inconsistencies and quality issues, and partnered with Data Engineering to define the data model and build ETL pipelines for Power BI integration — ensuring data accuracy and reporting consistency across business units.
- Developed and maintained a Central Mechanical Integrity dashboard using Power BI and Power Apps, building KPI visualizations that provided senior leadership with real-time operational performance insights — saving ~45 hours per reporting cycle and eliminating manual dependencies.
- Performed structured trend analysis on refinery risk and compliance metrics, translating data findings into clear, actionable recommendations for non-technical stakeholders and leadership teams.
- Applied data governance and security best practices throughout the reporting pipeline, ensuring sensitive operational data was handled accurately and in alignment with organizational standards.
- Created user training documentation, SOPs, and adoption materials to standardize reporting processes and support continuous improvement across cross-functional teams.
Intern at Phoenix Global (2021-06 – 2021-08)
- Developed Tableau dashboards that helps in understanding India's GDP and state-level performance across sectors over the last 5 years.
- Cleansed and aggregated regional datasets, creating hierarchies to identify key state-level GDP drivers.
Education
Master Of Science in Data Analytics Engineering – Northeastern University (2024-08 – 2026-03)
Bachelor Of Technology in Computer Science Engineering – GITAM (2018-08 – 2022-05)
