Designing and developing a financial software that would allow investors to invest based upon personalized strategies and investment plans suiting their risk and ambitions

Professor for CS-210 Data Structures and Algorithms and CS-250 Software Engineering.

Comprehensively optimized the performance of a software service that finds out the root cause of products being sold on Amazon being marked as a defective product by re-architecting the whole app, transitioning from a monolithic architecture to a purely cloud-based microservices architecture.

Served as a graduate teaching assistant for the following courses over 4 semesters. I was responsible for conducting lectures, tutoring, designing and grading assignments and exams, conducting office hours etc1. CS 549 Machine Learning2. CS 200 Introduction to Data Science3. CS 696 Modern Cryptography4. CS 574 Computer Security5. CS 577 Data Science6. CS 150 Introduction to Programming Languages

Implemented Spark jobs on AWS EMR by integrating it with S3 and Athena to process and transform large data sets.• Implemented DBT on AWS Redshift, reducing transformation time by 40% through optimized SQL code structures.• Integrated Kafka into the pipeline for real-time data streaming, processing over 10000 events/second with an average latency ofless than 20 milliseconds.• Designed and configured Apache Airflow DAGs to orchestrate and manage the workflows of the data… Show more Implemented Spark jobs on AWS EMR by integrating it with S3 and Athena to process and transform large data sets.• Implemented DBT on AWS Redshift, reducing transformation time by 40% through optimized SQL code structures.• Integrated Kafka into the pipeline for real-time data streaming, processing over 10000 events/second with an average latency ofless than 20 milliseconds.• Designed and configured Apache Airflow DAGs to orchestrate and manage the workflows of the data pipelines.• Created and integrated PL/SQL procedures into the overall data pipeline, orchestrating their execution through SQL Server Jobs.• Migrated code base from dplyr to data.table library, resulting in 80% performance increase and 8% lower infrastructure cost.• Modeled QoS performance KPIs (SAIFI and SAIDI), using advanced time-series analysis techniques SARIMA and Holt-Winters.• Developed 15 real-time analytical dashboards using Tableau and Spotfire for monitoring the live performance of different webservices and forecasted their performance using advanced time-series models such as SARIMA, LSTM and Holt-Winters• Implemented FP-growth and Apriori algorithms to analyze transaction data providing valuable insights to the Sales andMarketing teams, resulting in a 7% increase in profit through informed decision-making Show less