Hussnain Akbar - Data Analyst - Creatonics | Himalayas
Hussnain AkbarHA
Open to opportunities

Hussnain Akbar

@hussnainakbar

Experienced Data Analyst with a passion for delivering insights.

United Kingdom

What I'm looking for

I am looking for a role that fosters growth, collaboration, and innovation in data analytics.

I am a Quantitative Data Analyst and Junior Data Scientist with over 3 years of project-based and consulting experience. My expertise lies in SQL, Python, and cloud data platforms, where I have successfully delivered insights across various domains including sales, marketing, finance, and healthcare. I pride myself on my ability to communicate effectively with both technical teams and business stakeholders, ensuring that data-driven decisions are made with clarity and precision.

In my current role at Creatonics, I lead data-driven projects that provide valuable insights to marketing, finance, and operations teams. I have designed complex SQL queries in PostgreSQL and built interactive dashboards using Power BI to streamline decision-making processes. My experience also includes developing ETL pipelines and conducting sales forecasting using advanced machine learning techniques, which have significantly improved demand prediction accuracy.

Previously, as a Junior Data Scientist at Creative Experts, I delivered full-cycle data science projects and automated ETL pipelines for structured and semi-structured data. My work involved building dashboards for real-time KPI tracking and collaborating on REST API development to enhance data architecture. I am passionate about leveraging data to drive business success and continuously seek opportunities to grow and contribute in the field of data analytics.

Experience

Work history, roles, and key accomplishments

CR
Current

Data Analyst

Creatonics

Jun 2023 - Present (2 years)

Led data-driven projects across departments, delivering insights to marketing, finance, and operations teams. Designed complex SQL queries in PostgreSQL to extract, transform, and aggregate datasets for regular and ad-hoc reporting.

Education

Degrees, certifications, and relevant coursework

NT

NED University of Engineering & Technology

BS in Computational Finance, Computational Finance

Studied computational finance, gaining expertise in quantitative data analysis and financial modeling. Developed skills in data manipulation, statistical analysis, and financial forecasting.

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