Shijoy G

Data Analytics postgraduate (Graduating 2026) with hands-on experience in Python, Power BI, Tableau, and exploratory data analysis, gained through a professional internship and independently built analytics projects. Proven ability to transform complex datasets into actionable insights by building end-to-end data pipelines, interactive dashboards, and machine learning models. Adept at cross-functional collaboration, data quality validation, and designing automated reporting solutions that drive strategic decisions and operational improvements.

Data Analytics Intern - Exult Global - Remote

• Designed and built an end-to-end data pipeline using Microsoft Fabric (Lakehouse, Dataflows, Notebooks), processing 10,000+ business records into clean, structured datasets – reducing data preparation time by 60% for downstream reporting.
• Developed 5 interactive Power BI dashboards with custom DAX measures and star schema data models, eliminating 10+ hours of manual reporting per week for cross-functional stakeholders.
• Applied data modeling best practices (star schema, relationship optimization), improving dashboard query performance by 40% and report accuracy across 3+ reporting solutions.
• Collaborated remotely with 5 cross-functional stakeholders to translate business reporting requirements into production-ready dashboards, serving 20+ users across departments.
• Performed exploratory data analysis (EDA) on business datasets using Python (Pandas, NumPy) to uncover trends, patterns, and anomalies – delivering actionable insights that informed strategic decisions for cross-functional stakeholders.
• Implemented data quality checks and validation routines using Python and Excel to reconcile discrepancies across sources, ensuring consistent and accurate data for decision-making.
• Built a Food + Weather Intelligence Platform POC on Microsoft Fabric using medallion architecture (Bronze → Silver → Gold), ingesting Agmarknet commodity prices, POS/sales, and inventory data across 5 Indian states and 22 commodities into business-ready Gold-layer metrics (Demand Score, Price Risk, Inventory Risk, Weather Impact).

M.Sc. - Computer Science – Data Analytics - Rajagiri College of Social Sciences (2026)

B.Sc. - Computer Science - Nehru Arts and Science College (2024)