Zahid Un Nabi
Python Engineer Data and Analytics @LSEG
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WORK HISTORY
Python Engineer Data and Analytics @LSEG
London, GB
Responsibilities: Led data migration initiatives, focusing on moving data from MongoDB sources. Implemented intricate business logic transformations to tailor the data for target destinations: Snowflake and PostgreSQL. Utilized Dask atop FastAPI to orchestrate distributed processing without the overhead of cluster management, fully harnessing Python\'s OOP capabilities. Accomplishments: Successfully integrated Dask, tapping into its PySpark-like distributed capabilities, ensuring an optimized data migration process that\'s both scalable and efficient. Pioneered the integration of FastAPI with Dask, blending the strengths of asynchronous operations with distributed computing for robust data handling. Challenges Faced: The nature of the data, being stock-related, required meticulous attention to detail during the cleaning and transformation phases. Ensured that no data was altered unintentionally, maintaining the integrity and accuracy of every single value throughout the migration process.
EDUCATION
Varendra University
Bachelor of Science - BS, Computer Science & Engineering, First Class
Varendra College, Rajshahi Model High School & College
Secondary School Cirtificate & Higher Secondary School Cirtificate, General Studies, A
ABOUT ZAHID UN NABI
As a seasoned Data Science professional with over 8 of experience, I bring a proven track record of delivering impactful results to organizations. I am passionate about leveraging data to drive business growth, optimization, and cost minimization, and I have demonstrated this through my accomplishments in past roles. My expertise in data analysis, statistical modeling, and machine learning has led to a 31% increase in revenue, a 17% improvement in operational efficiency, and a 41% reduction in costs for my previous employers. At Fasset Technology- Established Data warehouse on AWS cloud from scratch- Maintained ETl and ELT Data pipeline for Daily/Weekly/Monthly data warehouse- By preparing the market-wise multiple automated Tableau Dashboards for multiple Stack Holders, saved 4 man hours and increased company growth by 17%- Saved 23% server cost by optimizing Data pipeline time on time. At ADA-ASIA- Developed Customer Single View Data model. which reduced 4 man-hours and saved 40% of server cost- Automated Multi-purpose KPI measurement Dashboard for a client which saved 150 man-hours per month- Improved accuracy by 2.3% on the Telco Churn Prediction model- Enhanced accuracy by 1.7% on Credit Prediction model LR and LG-Boost Algorithm- Increased Year on year Data efficiency by 150% and made it independent from regional shadow- Also improved Year on year revenue by 15% by enriching data-driven product offerings. With a deep understanding of the end-to-end data science process, I am skilled in the development and implementation of data-driven solutions that meet the unique needs of each organization I have worked with. My experience working with cross-functional teams and stakeholders, combined with my ability to translate complex technical concepts into actionable insights, makes me an asset to any data-driven initiative. I am confident that my expertise and passion for data science will allow me to make a meaningful impact in your organization.
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