Shazib M.

Business Intelligence

Shazib is a seasoned professional with 8 years of experience in Business Intelligence, specialising in Data, Analytics, Insights, and Automation.

Shazib has predominantly worked in the Financial Services industry, collaborating with clients spanning capital markets, energy, insurance, banking, and media segments.

His global experience includes collaborating with stakeholders from the USA, UK, Canada, UAE, Spain, and the Philippines.

A standout achievement in Shazib's career was the successful execution of the Synergy Analytics project. In this endeavour, he creatively addressed access issues, implemented automation processes, and achieved significant time savings, reducing annual workload by 500 to 600 hours.

Principale expertise
  • Microsoft Power BI
    Microsoft Power BI 8 ans
  • SQL
    SQL 5 ans
  • Snowflake
    Snowflake 1 ans
Autres compétences
  • VBA
    VBA 5 ans
  • AWS S3
    AWS S3 3 ans
  • Tableau
    Tableau 2 ans
Shazib
Shazib M.

Pakistan

Commencer

Expérience sélectionnée

Emploi

  • Senior Manager, Business Intelligence

    S&P Global - 2 années 9 mois

    • Implemented automated systems in Excel and Power Automate for Extract, Transform, Load (ETL) processes from 3 different sources.
    • Delivered potential options and actionable recommendations, positively impacting client retention, revenue growth, and product adoption.

    Les technologies:

    • Les technologies:
    • Microsoft Power BI Microsoft Power BI
    • SQL SQL
    • Snowflake Snowflake
    • ETL ETL
    • Data Analytics
    • Python Python
    • Pandas Pandas
    • Data Modeling
    • Team leading
  • Manager, Usage Analytics & Insights

    S&P Global - 11 mois

    • Improved the effectiveness of sales and product organisations by translating raw analysis into meaningful insights.
    • Developed and implemented data governance policies to ensure the integrity and security of data.

    Les technologies:

    • Les technologies:
    • Microsoft Power BI Microsoft Power BI
    • SQL SQL
    • Tableau Tableau
    • ETL ETL
    • Data Analytics
    • AWS S3 AWS S3
    • Data Modeling
    • Team leading
  • Machine Learning Analyst, Predictive Analytics

    S&P Global - 1 an

    • Assisted in creating machine learning models for predicting churn risk, upsell likelihood, product recommendations, and identifying products at risk.
    • Conducted statistical analyses and data modelling to discern trends and patterns within large datasets.
    • Performed propensity-to-buy analyses, clustering analysis, and offered recommended actions for improving client retention and fostering revenue growth.

    Les technologies:

    • Les technologies:
    • SQL SQL
    • Tableau Tableau
    • ETL ETL
    • Data Analytics
    • Python Python
    • Pandas Pandas
    • SharePoint SharePoint
    • Data Modeling
    • Project management

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