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uannabi/README.md

πŸ‘‹ Hey there, I'm a Python Engineer in Data and Analytics.

With vast experience in software engineering, I have developed a deep proficiency in Python, SQL and advanced analytics tools like Tableau, DAQ, D3, Jupyter Notebook, EMR and Sagemaker. This extensive background has seamlessly transitioned into a pioneering Data Science role encompassing Data Engineering, Data Mining, Predictive Analytics, Data Visualization, and Machine Learning. More than just proficiency, my expertise represents a commanding ability to turn complex data sets into compelling narratives, actionable strategies and directions. My journey from software engineering to data science is not merely a shift in skillset but a testament to my capacity to lead and innovate in the ever-evolving digital narrative!

LinkedIn Medium Kaggle LeetCode

Snake animation

πŸ“Œ About Myself,

Who I Am Education Skills Special Qualities
Passion for converting complex data into actionable insights. Bachelor's Degree in Computer Science & Engineering Python, R, SQL, Tableau, AWS Data strategist committed to solving complex business issues.
Collaboration & Engagement Data Specialties
Thrive in team environments, collaborating with Business Analysts, Data Scientists, and Software Engineer Data Engineering, Predictive Analytics, Data Visualization & Machine Learning

πŸ“ž Let's Connect!

Connect on LinkedIn.

🧰 Tools I've experienced with

Python Badge Django Badge Scala Badge Pandas Badge Plotly Badge Anaconda Badge Jupyter Badge NumPy Badge Databricks Badge Metabase Badge Docker Badge Kubernetes Badge Git Badge Linux Badge Apache Spark Badge Elastic Search Badge Amazon AWS Badge Google Cloud Badge Google Colab Badge Kaggle Badge Tableau Badge


class DataAnalyticsEngineer:
    def __init__(self, name, degree, languages, tools):
        self.name = name
        self.degree = degree
        self.languages = languages
        self.tools = tools
        self.stakeholders = []

    def introduction(self):
        return f"Here I am, {self. name}, fortified by a robust passion for converting complex data into groundbreaking solutions, all backed by the collaborative and versioning strengths of GitHub."

    def educational_background(self):
        return f"I hold a {self. degree} in Computer Science and Engineering."

    def technical_skills(self):
        languages = ', '.join(self.languages)
        tools = ', '.join(self.tools)
        return f"Further enhanced by a mastery of programming languages like {languages}, and proficient use of cutting-edge analytics tools like {tools}."

    def data_capabilities(self):
        return "My background spans data engineering, predictive analytics, data visualization, and machine learning, proving my ability to turn multifaceted data into compelling narratives and actionable insights."

    def unique_selling_points(self):
        return "What sets me apart is my technical acumen and my deep-rooted understanding of leveraging data as a strategic asset for solving complex business issues and driving informed decisions."

    def collaboration(self):
        stakeholders = ', '.join(self.stakeholders)
        return f"Thriving in collaborative settings, I effortlessly engage with stakeholders at every organizational level: {stakeholders}."

    def ambition(self, organization):
        return f" As a proactive self-starter and an invaluable team player, I am eager to deploy my broad data engineering and analytics skills to elevate {organization} to new heights of excellence."

    def add_stakeholder(self, stakeholder):
        self. stakeholders.append(stakeholder)

    def full_profile(self):
        return f"{self.introduction()}\n{self.educational_background()}\n{self.technical_skills()}\n{self.data_capabilities()}\n{self.unique_selling_points()} \n {self.collaboration()}\n{self.ambition('LSEG')}"

if __name__ == "__main__":
    engineer = DataAnalyticsEngineer(name="Zahid Un Nabi", 
                                     degree="Bachelor's Degree", 
                                     languages=['Python', 'SQL'], 
                                     tools=['Tableau'])

    engineer.add_stakeholder('Business Analysts')
    engineer.add_stakeholder('Data Scientists')
    engineer.add_stakeholder('Product Managers')

    print(engineer.full_profile())

  • πŸ”­ Currently working at Post Trade London Clearing House LSEG
  • 🌱 I’m currently working with a large number of financial data.
  • πŸ‘― No collaboration !=01000101 01001111 01000100
  • πŸ€” I’m looking for 01011111 01011111 01101001 01101110 01101001 01110100 01011111 01011111
  • πŸ’¬ Ask me about 01100100 01100001 01110100 01100001 00100000

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