logo

Powered by
Codebasics DA Bootcamp

About Me


The future of business isn't just data-driven; it's data-intelligent. My work is dedicated to building that future.

With a strong foundation in machine learning, data modelling, and business intelligence, I create systems that don't just report on the past, but actively shape the future. My goal is to transform data from a simple asset into the strategic core of an organization.

To push the boundaries of what's possible, I am diving into the technologies that will define the next decade. My current research and learning are focused on Agentic AI and Genetic AI—two fields that promise to move us from predictive insights to autonomous, self-optimizing systems.

Welcome to my portfolio. Let's build something great together.

2

PowerBI Projects

1

Python Project

Key Skills

Python
SQL
Looker
GCP
A/B Testing
Hypothesis Testing
Machine Learning
Predictive Modeling
Statistical Analysis

My Experience


Insights Analyst • Full-time  A2Dominion Group • London, England, United Kingdom • 11/2024 - Present

  • Authored and presented a data-driven business case for a key data initiative directly to the CFO, successfully securing executive buy-in and project approval.
  • Acted as a key analytical partner for multiple business units, translating complex commercial questions into actionable insights and presenting findings to key stakeholders.
  • Engineered a scalable star schema data model in Power BI for finance and tenancy data, using SQL and Power Query to ingest and unify disparate data sources, reducing manual reporting time by 15 hours per week.
  • Championed a data-driven culture by deploying a financial model that reduced ad-hoc data requests by 75% and accelerated the monthly financial review process from days to hours
  • Spearheaded a data science initiative to shift from reactive to proactive complaint management, developing an end-to-end solution from a predictive ML model (XGBoost) to an interactive Power BI dashboard for business stakeholders.
  • Rigorously tested multiple algorithms, selecting a high-performance XGBoost model (AUC: 0.88) and operationalizing its outputs into an intuitive 'traffic-light' risk score in Power BI to guide proactive interventions by operational teams.

Insights Analyst • Full-time JD Sports Fashion • London, England, United Kingdom • 09/2023 - 11/2024

  • Spearheaded the integration of dbt into the analytics pipeline, establishing a single source of truth for sales data and improving the accuracy of all downstream business reporting by 15%.
  • Developed and automated a suite of Power BI performance dashboards that provided daily insights to regional managers, enabling them to identify and address underperforming product lines and optimise in-store promotions.
  • Leveraged Python and SQL to conduct an in-depth customer segmentation analysis, identifying a high-value, underserved demographic that was subsequently targeted in a new marketing campaign.
  • Conducted comprehensive market and competitor analysis that informed a new, dynamic pricing strategy for key product lines, enabling the business to remain competitive without sacrificing profit margins.
  • Automated a legacy, manual reporting process by migrating SQL jobs to Azure Functions, eliminating 20+ hours of manual work per month and reducing associated operational costs by an estimated £15,000 annually.

Data Science And Business Analytics Intern • Internship GRIP, The Sparks Foundation • Mumbai, Maharashtra, India • 07/2021 - 08/2021

  • Improved remote learning effectiveness by conducting an impact analysis of COVID-19 on student performance using Python and Excel.
  • Increased business efficiency by 15% by managing a project on Integrated Retail and Marketing Analytics.
  • Provided actionable insights for strategic planning by designing and implementing BI tools for reports and dashboards using Power BI.

Junior Data Scientist • Full-time GEAR - Gemini Equipment And Rentals Pvt. Ltd. • Mumbai, Maharashtra, India 06/2020 - 06/2021

  • Enhanced operational efficiency by 5% by designing and implementing data models and reporting frameworks, ensuring consistency and accuracy of data.
  • Utilized Python, Power Bi and SQL to automate reporting processes, enhancing efficiency and accuracy. Improved business forecast accuracy by 7% by applying machine learning techniques to build predictive models.
  • Enhanced business process optimization by developing algorithms using Python.
  • Improved data visualization and decision-making capabilities by integrating new reporting tools and dashboard technologies using Power BI.

Let's Work Together!


Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.