Empowering Decisions through Analytics and Storytelling

With over eight years of experience, Zubin is skilled at turning complex data into clear, insightful narratives that drive understanding and decision-making. He brings a thoughtful approach to presenting data, creating meaningful connections between numbers and actionable outcomes.

Data Analyst | London Area, United Kingdom

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Projects

  • Analysed 10,000+ Amazon reviews for a manufacturing client using Python NLP techniques to extract sentiment trends, providing actionable product feedback insights.

    Tech Stack: Python, NLTK, TextBlob, Pandas, Matplotlib

  • Built an interactive dashboard analysing 20+ years of London house price trends, uncovering the impact of energy efficiency ratings on property value to guide real estate investments.

    Tech Stack: Tableau, Power BI, Python (Pandas, Matplotlib, Plotly), SQL

  • Conducted a genre-wise trend analysis on 50,000+ game sales records, identifying key revenue drivers and optimising marketing strategies for a publishing client.

    Tech Stack: Python (Pandas, NumPy, Seaborn), SQL, Power BI

  • Developed a time-series forecasting model using Prophet to predict NHS ambulance response times with 85% accuracy, enabling proactive resource planning.

    Tech Stack: Python (Prophet, Pandas, Scikit-learn), Power BI, SQL

  • Identified high-risk regions for CVD using feature analysis and demographic data, leading to targeted preventive healthcare initiatives.

    Tech Stack: Python (Pandas, Seaborn, Scikit-learn), Tableau, SQL

  • Background
    A US healthcare client needed to measure post-merger success and maintain data integrity across systems. Data gaps and inconsistencies threatened business continuity and operational efficiency.

    Solution
    I developed a robust data integrity and BI framework to identify and resolve data gaps. Using comparative reports and dashboards, I ensured data correctness and continuity during the post-merger transition.

    Key Achievements

    • Ensured smooth business operations by addressing critical data inconsistencies.

    • Delivered dashboards that measured success metrics, including financial performance and patient outcomes.

    • Provided actionable insights to leadership, ensuring strategic alignment post-merger.

    Skills Applied
    SQL, Python, Data Integrity Management, Tableau, SSRS, Post-Merger Analytics

  • Background
    During the COVID-19 pandemic, a US State government faced challenges in maintaining accurate patient records and tracking vaccination performance. These data inaccuracies impacted patient profiling and system reliability.

    Solution
    I developed a comprehensive data quality framework using Azure Synapse to validate and reconcile patient data. The framework included automated processes for identifying inconsistencies, cleaning data, and ensuring compliance with public health standards.

    Key Achievements

    • Reduced the rate of data errors and inconsistencies by 30%.

    • Improved the accuracy of vaccination tracking and patient profiling, ensuring equitable resource allocation.

    • Enabled reliable performance tracking across all vaccination centers.

    Skills Applied
    Azure Synapse, Data Quality Management, Data Profiling, Process Automation

  • Background
    A pharmaceutical company needed a strategy to address medication non-adherence, which was impacting patient health outcomes and leading to increased waste.

    Solution
    I implemented a data-driven BI strategy to identify at-risk patients using advanced data analytics. By leveraging demographic and behavioral data, I developed targeted insights to improve adherence strategies.

    Key Achievements

    • Improved patient medication adherence by 15%, resulting in better health outcomes.

    • Reduced medication waste, driving cost savings for both patients and the client.

    • Provided actionable insights that informed outreach campaigns and resource allocation.

    Skills Applied
    AWS Cloud, Amazon Redshift, Apache Superset, Data Analysis, Healthcare Analytics

  • Background
    A pharmaceutical client needed to understand their sales performance by customer demographics to optimize retention strategies and address declining customer engagement.

    Solution
    I built scalable data pipelines and reporting infrastructure using AWS cloud technologies, including Python, Amazon Redshift, and Apache Superset. These pipelines were designed to aggregate and analyze customer data at scale.

    Key Achievements

    • Delivered insights that led to an 8% improvement in customer retention.

    • Enabled dynamic sales performance analysis by customer demographic, geographic location, and product.

    • Automated reporting processes, reducing manual workload and errors.

    Skills Applied
    AWS Cloud, Python, Amazon Redshift, Apache Superset, Data Engineering

Resume

Work Experience

Data & AI Consultant | London

After moving to the UK, Zubin works as a Data & AI Freelance Consultant, specialising in delivering data-driven insights and AI solutions. Leveraging advanced analytics, visualisation tools, and domain expertise, he crafts actionable, tailored solutions to address real-world challenges and drive measurable impact.

2024 - Present

Senior Consultant | Mumbai

As a Senior Consultant at Deloitte, Zubin managed BI implementations for several fortune 500, Government & Healthcare clients, delivered impactful data solutions, and translated client needs into actionable insights. He collaborated with teams, mentored analysts, and supported leadership with data-driven decisions to enhance operational efficiency.

2016 - 2023

HR Analytics Consultant | Chennai

As an HR Consultant at GrowValue, Zubin focused on HR analytics by analysing recruitment trends and optimising hiring processes. He collaborated with clients to analyse job requirements, evaluate recruitment trends, and develop actionable recommendations to improve hiring efficiency and effectiveness.

2013 - 2014

Internships | India

Zubin's internships at Alstom Transport, Accenture, and Virtusa built a solid foundation in data and analytics. At Accenture, he trained on data tools and supported development. At Alstom, he focused on HR analytics, and at Virtusa, he worked on data testing and methodologies.

2011 - 2012

Skills & Competencies

Data Analytics & Visualisation

Tableau, Power BI, Apache Superset, Looker, SSRS, IBM Cognos Analytics and SAP BO.

Database Management

SQL, MongoDB, Oracle SQL, Amazon Redshift, Azure Synapse, and PL/SQL .

Python for data manipulation & wrangling, statistical & predictive analytics and ML fundamentals

Programming & Automation

Storyboarding & Presentations

Expertise in creating impactful presentations, leveraging creative storyboarding techniques.

Comprehensive project management experience, including scoping, delivery, resource planning, and estimation.

Project Leadership & Management

Education

Executive Program in Business Analytics in the Age of Generative AI

London Business School | 2025 - Ongoing

Master of Business Administration in International Business

Symbiosis International University | 2014 - 2016

Batchelor of Technology in Computer Science Engineering

SRM University | 2009 - 2013