Bilal Naseem

Bilal Naseem

Software Developer Intern

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location of Bilal NaseemLondon Area, United Kingdom

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  • Timeline

  • About me

    Google Cloud Certified Professional Data Engineer | Expertise in Big Data, ETL & Data Quality Pipelines | Experienced in Informatica, PySpark, Python, SQL & Linux.

  • Education

    • Sheffield Hallam University

      2024 - 2025
      Master of Science - MS Big Data Analytics
    • Bahria University

      2017 - 2021
      Bachelor of Science - BS Computer Science
  • Experience

    • Bits Collision

      Jun 2020 - May 2021
      Software Developer Intern

      1. Built multiple mobile applications using React Native.2. Built my bachelors final year project as a product for Bits Collision and under their supervision.3. Enabled real time tracking and offline tracking of a phone and integrated it with mobile application.

    • Core 2 Plus

      Aug 2020 - Oct 2020
      Web Developer
    • The Sparks Foundation

      Apr 2021 - Apr 2021
      Data Science & Business Analytics Intern
    • Tech IT

      Jan 2022 - Feb 2022
      Data Scientist

      1. Built deep learning models for video action recognition using various datasets and TensorFlow hub's pre-trained models by applying transfer learning.2. Hyper parameter tuning of the model to achieve acceptable accuracy for the business use case.3. Used Numpy, Pandas, Open-CV to build and optimize models and clean data to be used for model training and evaluation.

    • Technocolabs Softwares

      Jan 2022 - Feb 2022
      Data Science Intern

      1. Built machine learning models for audio classification.2. created custom data set using Python and web scraping and transformed 750 audio files to a data set of520 features per audio.3. Deployed model to Heroku platform by using flask web app to interact with the model and prediction.

    • Blutech Consulting

      Mar 2022 - now
      Associate Data Engineer

      Client: Habib Bank Limited 1. Led Informatica Administration Team engaged in resolving day to day issues faced on informatica suite (Axon, DEI, EDC and IDQ). 2. Engaged with Informatica global support team to resolve critical issues in the behavior or functionality of the tool along with proposal and discussion of temporary or permanent fix. 3. Optimized Data Ingestion batch for bank’s Trade Innovation data stream to reduce its time from 16 hours to 4 hours through implementation of dynamic job to run the same job for 400+ tables. 4. Optimized complex SQL queries for Hive,Impala and SQL Server to reduce processing time up to 30%. 5. Utilized Python, Spark (PySpark), Informatica, Sqoop and Kafka to optimize and build ELT pipelines. 6. Designed ELT pipelines to cater dependencies and failure recovery to ensure 100% continuation from point of failure in the pipeline. 7. Completed multiple proof of concepts to cater various use cases using Informatica DEI. 8. Presented demonstrations to clients regarding ETL, Data Governance and Data Quality tools like Informatica Enterprise Data Catalog, Informatica Data Quality, Axon Data Governance, Atacama Data Quality Analyzer as part of different clients’ POCs. 9. Designed Data Quality Pipelines to ensure data to be validated as per quality rules and standard and only then to be a part of the data lake.Client: United Bank Limited 1. Upgraded informatica suite (i.e DEI, EDC, IDQ & Power Exchange) from v10.4.1 to v10.5.3 for production and development environments with 0% additional downtime. 2. Provide Adhoc basis informatica support to resolve critical issues faced by the data engineering team.Client: Bank Alfalah 1. Designed Real Time Streaming Pipeline using Debezium, Apache Kafka, Python. 2. Created multiple ad-hoc Hive SQL queries for financial reporting of clients business. 3. Built a Data Ingestion pipeline to transform relational data from multiple sources into JSON documents for storage into MongoDB. Show less

  • Licenses & Certifications