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Musharib Ali

Musharib Ali

Data Scientist

Services provided: Machine Learning , Tableau software , Python , Power BI , Data analysis , Data Visualization , Data science

Technology / Internet

Canterbury, City of Canterbury, Kent
$10 / hour
Approximate rate

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About Musharib Ali:

Highly versatile Data Scientist with expertise in data analysis, visualisation, and advanced analytics. Proficient in Power BI, Tableau, and Looker, creating impactful visualisations for informed decision-making. Skilled in Python, R Studio, and SQL, identifying insights in complex datasets. Strong in statistical modelling, predictive analytics, and regression for trend forecasting and data extraction. Proficient in machine learning, developing impactful algorithms. Well-versed in SPSS and EViews for robust statistical validation. Enthusiastic learner and collaborative team player. Poised to drive strategic data utilisation and contribute to organisational success as a dedicated Data Scientist.

Experience

Account Executive, 04/2022 - 12/2022 

Zones LLC, Auburn, Washington 

  • Built and Strengthened Relationships with New and Existing Stakeholders.
  • Data-driven Decision Making: Utilised advanced data analysis techniques to extract meaningful insights from sales trends.
  • Built and strengthened relationships with new and existing accounts to drive revenue growth.
  • Designed sales strategies to exceed target quotas.
  • Achieved notable 17% augmentation in sales across entire team while successfully onboarding 11 new prospects.
  • Regularly engaged with cohort of 15 esteemed IT managers on daily basis, articulating manifold advantages and privileges associated with professional collaboration with Zones LLC.

Education

Master of Science - MS, Data Science, 01/2023 - Current 

University of Essex - Colchester, United Kingdom - Merit

  • An Approachable Introduction to Python Programming (Distinction)
  • Programming and Text Analytics with R (Distinction)
  • Databases and Data Processing with SQL (Distinction)

Projects

  • Stochastic gradient descent optimisation for heart disease classification.
  • Analysis of a policing dataset from Dallas, Texas in 2016.
  • Study of biodiversity measure, comparison between different taxonomic groups.
  • Text analysis for the transcript of two TED Talk Speakers.
  • Analysis of a dataset which includes various characters of a disease called Alzheimer.
  • Final Year Project - "Impact of Fintech Usage on Firm Performance".

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