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Data Science is the practice of extracting insights and knowledge from data using statistical methods, algorithms, and computational tools. It helps organisations make informed decisions, predict trends, and solve complex problems.
Modern data science powers recommendation systems, fraud detection, healthcare analytics, and AI applications like chatbots and autonomous systems.
It works through techniques such as data cleaning, machine learning, data visualisation, and predictive modelling, ensuring that raw data is transformed into meaningful, actionable insights.
In simple terms, data science is the backbone of smart decision-making in today’s data-driven world.
#DataScience #MachineLearning #AI #BigData #Analytics #Technology #Innovation
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Startups don’t need more data , they need clear decisions.
Most teams collect sales, marketing, and customer data but struggle to answer:
• Why are conversions dropping?
• Which customers drive real revenue?
• Where are we losing money?
I help turn raw data into clear dashboards and actionable insights.
🔎 I can help with:
✔ KPI dashboards (Power BI / Excel)
✔ SQL analysis & reporting
✔ Customer & revenue analysis
✔ Funnel & retention insights
✔ Basic predictive models
I focus on practical insights — not just charts.
📩 Open to short-term and ongoing analytics projects.
— Rabi Ali
Data Analyst | SQL | Python | Power BI
In designing this CRM dashboard, our focus was on creating a clear and structured environment for managing sales data and customer relationships. The interface consolidates key metrics such as total deal value, average deal size, win rate, and revenue dynamics into a single workspace, allowing users to quickly understand performance trends and identify changes over time.
One of the most relevant and forward-thinking projects I’ve worked on.
In a world where cyber threats evolve faster than systems can react, I wanted to design something different, not just another dashboard, but a platform that turns complexity into clarity.
I focused on transforming dense, real-time threat data into an experience that feels structured, intelligent, and actionable. Instead of overwhelming users with alerts and raw logs, I designed a system that helps operators instantly understand what matters, why it matters, and what to do next.
Every element was crafted to reduce cognitive load while increasing decision speed.
This project explores how strategic UX thinking can turn high-density data environments into powerful decision-support systems.
And this is just the beginning.
Strong concept. Turning complexity into clarity is often the hardest — and most valuable — part of building serious platforms.
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