Data Analyst · BI Developer
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Analytics Portfolio

Work That Speaks
in Data

From financial dashboards used by C-suite executives to automated reconciliation pipelines — every project here solved a real business problem. SQL, Python, Power BI. Clean outputs. Measurable impact.

6+
Featured Projects
50+
Dashboards Built
5+
Industries
98%
Accuracy Rate
🔍
SQL

AP/AR Automated Reconciliation Engine

Waste Management · SQL · Python · Oracle

Multi-source reconciliation pipeline that cross-validates invoice and payment data between SAP and Oracle ERP systems. Automated variance flagging eliminates manual spreadsheet comparison, reducing vendor mismatches and audit prep time significantly.

98.6%
Accuracy
Faster Audit
0
Manual Errors
📄
MIS

Integrated MIS Reporting System

Waste Management · Power BI · Excel · SQL

Consolidated MIS reporting suite pulling data from 5+ source systems. Eliminated manual copy-paste reporting that previously took 2+ days per cycle. Custom Power Query transformations and scheduled refresh deliver updated reports automatically every morning.

5+
Data Sources
2 Days
Saved/Cycle
Auto
Daily Refresh
Featured

Content Risk Intelligence Dashboard

TaskUs · Python · SQL · Excel

Analytics system processing 300+ UGC items daily with 98%+ classification accuracy. Built weekly risk intelligence reports identifying behavioural patterns and policy violation trends, enabling proactive policy updates and reducing false positive rates measurably.

300+
Items/Day
98%+
Accuracy
Weekly
Risk Reports
📈

DEMAT & Client Acquisition Analytics

Fundsroom · Power BI · Excel · Market Analysis

End-to-end analytics solution tracking DEMAT account conversion funnel, client acquisition efficiency, and competitor performance benchmarks. Identified key drop-off stages and optimisation opportunities that directly informed the sales team's targeting strategy.

Funnel
Conversion Tracking
+18%
Lead Quality
3 Mos.
Project Duration

SQL Query Optimisation & Report Automation

Personal / WM · SQL · Python · DAX

Refactored legacy reporting queries using CTEs, window functions and indexing strategies to cut average report generation time by over 60%. Automated scheduled Python scripts replaced manual extraction tasks, eliminating 8+ hours of repetitive work per week.

60%
Faster Queries
8 hrs
Saved/Week
100%
Automated

From Raw Data to Clear Decisions

Every project follows a disciplined process that ensures insights are accurate, explainable and actually used.

01
🔍
Understand the Business
Before touching data, I map what decisions need to be made and what questions the stakeholders actually care about. Wrong question = useless dashboard.
02
🗃
Extract & Clean
SQL queries, Power Query transformations or Python scripts — I make the data consistent, deduplicated and audit-ready before building anything on top of it.
03
📊
Build & Visualise
DAX measures, calculated columns, drill-throughs — Power BI dashboards that show the right number in the right context at the right level of detail.
04
👥
Present & Iterate
Reports are presented to stakeholders with clear narratives. Feedback loops ensure the final output actually changes how decisions are made.

Got a Dataset That Needs
to Make Sense?

Whether it's a messy spreadsheet, a disconnected ERP or a dashboard that no one uses — I can help turn it into something your team actually trusts.