• Creates Data Pipelines for prepareing US Demographics Data (Python | Airflow | Parallel Processing | REST API | MongoDB)
• Build ETL and pipelines for US and Mexico PORT Data (Python | AirFlow | Multiprocess | SFTP | MongoDB

• Build ETL Pipelines using (Data Factory | Python | MySQL | Azure Synapse Analytics | Apache Spark)
• Build Data Lake in AWS S3 and wrote ELT processes to integrate data from multiple sources. (Apache Nifi | Kafka | Hadoop | Hive )
• Build Analytics Pipelines using PySpark.(AWS DataBricks | Spark | Amazon EMR | SalesForce)
• Perform Data Modeling for DWH on Azure Synapse Analytics
• Build scripts to automate the process of data quality checks.( Python)
• Build AWS Lambda function which runs when another Data Bricks job pushed csv file into S3 bucket. (Python, AWS lambda)

• Develop and Deploy Data Pipeline for multiple clients e.g. AT&T, T- Mobile, virgin media in US and UK. (AirFlow | MySQL | Mongo | AWS RedShift | Nifi)
• ETL processes | Stored procedure | Feature engineering | Data Modeling.(MongoDB, MySQL | DWH | Nifi | Spark)
• Build and optimize processes based on Multiprocess and Multithread in order to improve the efficiency of a process in controlled environment so we can manage QPS and use resources efficiently. (python | OS)
• Data-Escrow Software : Programming model which assists with decreasing the expense and work on the effectiveness of a dataset in light of Cryptography, Encryption and Decryption utilizing SHA-256 in way that need to decrypt row by row utilizing individual decoding keys given by third party. (python)
• Web Scraping Engines for acquiring publicly available data from multiple sources without getting blocked with acceptable QPS. (python)
• Data Modeling and Data warehouse pipelines (MySQL | Redshift)

onedayevent Wrote backend API using Node and Implement UI designs on React. Build payment system through electronic invoice, using stripe API. Reduced the page | data size and optimize the loading time. Fixed Bugs in the system.

• Stock (Time Series) forecasting using deep learning (LSTM)
• Heart Disease Classification using ML (Random Forest)
• Retail Churn Prediction using ML (Random Forest)
• Product Affinity Analysis using Apriori algorithm
• Extract data from Pdf (retail invoices) using python
• C++ program optimization based on memory management
• assabuur.com Free Classified Adds Web App (PHP)

I took admission in CS with my own passion and through out the degree my focus was more towards the technical subjects for example PF, OOP, Data Structures, Data Bases, OS, CC etc. Selected Data Science as my majors in Which I have studied Data Analysis, Intro to Data Science, Data Warehousing and Data Mining and Computational Intelligence, Completed my BS with 3.14 CGPA BSCS TRANSCRIPT