Indraneel Adak
@indraneeladak
Data Analyst specializing in enterprise Power BI, predictive analytics, and regulated financial services decision support.
United KingdomWhat I'm looking for
I’m a quantitatively oriented Data Analyst with 3+ years’ financial services experience (Danske Bank UK) and energy analytics experience (Power NI), based in the United Kingdom and Ireland. I build enterprise Power BI and BI solutions used by senior leadership, turning complex datasets into strategic, audit-ready decisions.
I’ve deployed Python machine learning at scale across 300,000+ customer records, combining forecasting, segmentation, and risk-focused analytics. In my roles, I’ve delivered 10+ Power BI dashboards, improved data governance and quality, and accelerated reporting turnaround by 60%+ through better modeling and automation.
Most recently, as a Development Team Lead, I directed data governance and quality assurance for a 14-member team, creating anomaly detection and audit-logging frameworks that achieved 100% compliance adherence. I’m pursuing my Microsoft Fabric Analytics Engineer certification (DP-600) and I’m eager to continue building modern analytics pipelines and decision intelligence in regulated environments.
Experience
Work history, roles, and key accomplishments
Directed data governance and quality assurance for a 14-member team by designing anomaly detection and audit-logging frameworks, achieving 100% compliance adherence and top-performer recognition. Mentored team members to improve data accuracy and reporting throughput in a high-volume regulated environment.
Built and maintained 10+ Power BI and BI dashboards for real-time financial and risk KPIs used by senior leadership, accelerating strategic decision cycles. Analyzed dynamic pricing and customer behavior data to surface revenue optimization opportunities while supporting regulatory reporting and data integrity.
Integrated Irish CSO census datasets with billing data across Northern Ireland and used K-Means clustering to profile 300,000+ accounts, identifying ~42,000 high-churn-risk customers for retention targeting. Built Python-based dynamic pricing and financial forecasting models and Power BI dashboards that cut reporting turnaround by 60%+.
Database Engineer Intern
QSpiders Global
Feb 2022 - Jun 2022 (4 months)
Optimized SQL financial reporting queries to reduce latency by ~40% and automated data pipelines that saved ~15 hours per week of manual processing. Improved reliability and efficiency of recurring reporting workflows.
Education
Degrees, certifications, and relevant coursework
Queen's University Belfast
Master of Science in Data Analytics, Data Analytics
2022 - 2023
Completed an MSc in Data Analytics at Queen's University Belfast from Sep 2022 to Oct 2023.
St. Wilfred's Engineering College, University of Mumbai
Bachelor of Engineering in Computer Science, Computer Science
2017 - 2022
Completed a BE in Computer Science at St. Wilfred's Engineering College (University of Mumbai) from Aug 2017 to Aug 2022.
Tech stack
Software and tools used professionally
Availability
Location
United KingdomAuthorized to work in
Job categories
Skills
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