I am a Data Scientist and Engineer with over 10 years of experience designing and optimizing data systems. Proficient in Python, R, SQL, and cloud platforms like AWS, Snowflake, and Redshift, I specialize in ETL pipelines, data migration, and analytics. I have processed over 10M records daily and migrated 500TB of data with 100% accuracy, enhancing scalability by 40% and cutting processing times by 30%. Passionate about delivering actionable insights, I’ve developed dashboards tracking 50+ KPIs, improving forecast accuracy by 20% and driving a 25% year-over-year growth
Connect on LinkedIn.
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())
- 🔭 Currently working at Post Trade London Clearing House LSEG
- 🌱 I’m currently working with a large number of financial data.
- 👯 No collaboration !=
01000101 01001111 01000100 - 🤔 I’m looking for
01011111 01011111 01101001 01101110 01101001 01110100 01011111 01011111 - 💬 Ask me about
01100100 01100001 01110100 01100001 00100000