Venubabu — Data Analyst
Detail-oriented Data Analyst based in London, United Kingdom. Proficient in Python, SQL and statistical analysis, with experience transforming complex datasets into actionable insights. Skilled at building dynamic dashboards in Power BI and Tableau and collaborating across teams to improve processes and decision-making.
Professional Summary
Detailed-oriented Data Analyst with strong expertise in data analysis, reporting and visualisation. Proven ability to convert complex datasets into actionable insights that drive business improvements. Adept at engaging technical and non-technical stakeholders to enhance operational efficiency and optimise processes.
Dashboard Development
Dynamic, interactive dashboards for real-time decision-making.
ETL & Data Pipelines
Reliable ETL processes and automated KPI reports.
Machine Learning
Predictive modelling and model tuning to improve performance.
Areas of Expertise
Data Analysis
Exploratory data analysis and statistical inference.
Data Visualisation
Power BI, Tableau, Advanced Excel visualisations.
Data Cleaning
Robust data processing and quality assurance.
Machine Learning
Predictive models and model evaluation.
Database Management
SQL, MySQL, PostgreSQL, MongoDB.
Cross-Functional Collaboration
Translating analytics into operational improvements.
Technical Skills
Programming & Databases
Python, SQL; experience with MySQL, PostgreSQL, MongoDB.
Visualisation & Tools
Power BI, Tableau, Advanced Excel for interactive reporting and dashboards.
Work Experience — Cognizant Technology Solutions
Programmer Analyst (Nov 2020 – Aug 2022) — India. Built dynamic Power BI dashboards and interactive reports that enhanced analytical visibility and supported decision-making by 35%.
1
SQL Optimisation
Optimised large datasets and queries, improving retrieval efficiency by 25%.
2
ETL Reliability
Wrote and debugged SQL to maintain on-time data pipelines.
3
Python Data Transformation
Used Pandas and NumPy to clean and prepare datasets for analysis.
4
Automation
Automated recurring KPI reports, saving 15+ hours per month and ensuring consistency.
Key Projects
Credit Card Fraud Detection
Built models (Logistic Regression, Random Forest, XGBoost) on imbalanced data using SMOTE, advanced EDA and Optuna hyperparameter tuning. Model performance improved by 35% and evaluated via Precision, Recall, F1, Accuracy and ROC-AUC.
Football Player Performance Analysis
Performed EDA, statistical analysis and KMeans clustering on a 660-player dataset to identify trends and player groupings, presented with clear visualisations.
Iris Dataset Exploratory Analysis
Conducted EDA and statistical exploration to reveal species patterns and feature correlations; documented reproducible analysis on GitHub.
Education
MSc in Data Science with Advanced Research — University of Hertfordshire, United Kingdom (Jan 2024 – Jan 2026).
Academic Focus
Advanced research, statistical methods, machine learning and reproducible analysis.
Outcomes
Prepared for applied analytics roles with a rigorous research foundation and practical project experience.
Core Competencies & Impact
35%
Decision Impact
Improved decision-making visibility via dashboards (35% uplift).
25%
Efficiency
Faster data retrieval after SQL optimisation (25% improvement).
15h
Time Saved
Saved 15+ hours/month through automation of recurring reports.
10+
Deliverables
Delivered 10+ custom BI solutions in collaboration with stakeholders.
Summary & Next Steps
I bring a practical blend of analytics, visualisation and production-ready data engineering. Experienced in delivering BI solutions, optimising queries, and building predictive models that improve outcomes and save time.
For collaborations or opportunities, please reach out at [email protected]. Explore my work on GitHub and LinkedIn for examples of reproducible analyses and dashboards.
