Summary
Overview
Work history
Education
Skills
Languages
References
Extracurricular Activities and Hobbies
Websites
Certification
Awards & Achievements
Dissertation
Timeline
Generic

Dhanush Mathighatta Shobhan babu

BELFAST,Antrim

Summary

Data and Business Analyst skilled in Python, R, KNIME, Alteryx and Tableau. Expert at translating complex data into meaningful insights and compelling visualisations. Effective communicator known for driving collaboration and leading successful projects. Fully eligible to work in the UK, with a visa valid until 2027.

Overview

1
1
year of professional experience
5
5
years of post-secondary education
1
1
Certification

Work history

Billing Analyst

BT Group
Belfast
02.2025 - 08.2025
  • Managed over 60 daily billing queries, maintaining a 95% first-contact resolution rate and handling customer payments exceeding £10,000 each month, including sensitive bereavement matters.
  • Generated revenue surpassing £25,000 by establishing payment plans for more than 150 overdue accounts, while flagging and escalating high-risk cases to improve early intervention and recovery processes.
  • Collaborated with internal teams to implement process improvements, reducing escalations by 20% and ensuring accurate records were maintained using Excel, Outlook and One View.

Data & Web Solutions Specialist

Kitchen OS
Belfast
11.2024 - 02.2025
  • Built and launched two fully responsive company websites, and designed interactive Tableau dashboards featuring live KPIs from MySQL databases and real-time weather data via APIs, boosting operational efficiency by 25%.
  • Presented complex data insights and visualisations to stakeholders, improving understanding and influencing decision-making, while negotiating with three third-party vendors to identify cost-effective solutions.
  • Optimised database performance by merging and analysing over 10,000 records with advanced SQL queries, detected and resolved critical anomalies, and streamlined reporting processes for greater accuracy.

Education

Masters of Science (MSc) - Business Analytics

Queen's University of Belfast
Belfast
09.2023 - 12.2024

B.E - Computer Science Engineering

Visvesvaraya Technological University
Mysore , India
06.2019 - 06.2023

Skills

  • Data Analysis & Insight
  • Python (Pandas, NumPy, Scikit-learn)
  • R (Tidyverse, SHAP)
  • SQL & MySQL Workbench
  • Tableau
  • Power BI
  • Excel (PivotTables, VBA)
  • Data Visualisation
  • Dashboard Development
  • Automation & Process Optimisation
  • KNIME
  • Alteryx
  • Business Intelligence
  • Stakeholder Management
  • Problem-Solving
  • UK GDPR & Data Compliance
  • Project Leadership
  • Cross-Functional Collaboration

Languages

English
Native
Hindi
Advanced

References

References available upon request.

Extracurricular Activities and Hobbies

  • Multimedia Expert: Proficient in Audacity and Adobe Premiere Pro; content creator for ‘The School Gang’ on YouTube.
  • Community Leader: Led tree-planting initiatives (500+ trees) in Dattagali; actively contributed to cleanliness drives on Chamundi Hill, Mysore.


Certification

  • Accenture North America – Data Analytics and Visualization Job Simulation (Forage, Jul 2024)
  • Financial Forecasting with Analytics Essential Training (LinkedIn, Jul 2024)
  • Intermediate SQL (DataCamp, Jul 2024)
  • Introduction to SQL (DataCamp, Jul 2024)
  • AWS Academy Graduate – AWS Academy Cloud Foundations (Amazon Web Services, May 2024)
  • Introduction to R (DataCamp, Oct 2023)

Awards & Achievements

  • Winner, Data For Good Hackathon, Queen’s University Business School (2024): Developed innovative healthcare solutions for Northern Ireland using Tableau and R Studio; hackathon judged by industry leaders including Kainos, EY and FinTrU.
  • Data Duo Mentoring Programme, Queen’s University Belfast (2023–2024): Gained insights into organisational dynamics, built valuable relationships, and contributed to predictive analytics projects.

Dissertation

Predictive Analytics for Credit Risk Management in the Indian Banking Sector

  • Achieved 93.3% accuracy in credit risk prediction for Indian banks by deploying advanced Random Forest models and rigorous data processing techniques.
  • Uncovered monthly income, credit card utilization, and frequency of credit inquiries as the most influential predictors using SHAP analysis.
  • Advocates adopting ensemble machine learning and explainable AI methods to strengthen lending strategies and regulatory transparency.

Timeline

Billing Analyst

BT Group
02.2025 - 08.2025

Data & Web Solutions Specialist

Kitchen OS
11.2024 - 02.2025

Masters of Science (MSc) - Business Analytics

Queen's University of Belfast
09.2023 - 12.2024

B.E - Computer Science Engineering

Visvesvaraya Technological University
06.2019 - 06.2023

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Dhanush Mathighatta Shobhan babu