Syed Ahmed Shah
Data Architect | Big Data Engineer | Data Analyst | Full Stack Developer
Passionate about leveraging data to drive innovation and solve complex problems. Tranforming your ideas into reality with full stack development.
Passionate about leveraging data to drive innovation and solve complex problems. Tranforming your ideas into reality with full stack development.
With a deep commitment to harnessing data-driven AI and machine learning, I'm on a mission to fuel innovation and untangle complex problems.
I have over 10+ years of experience and constantly ustilizing these skills in various positions, projects and jobs.
Developed core booking features and built scalable ETL data pipelines for 850,000 monthly active users using Spark, PySpark, and Python Django, integrating an AI-powered NLP algorithm for text sentiment analysis to restrict inappropriate profiles.
Led the NEOM City project at Publicis Sapient, architecting a scalable data ecosystem across multidimensional domains using AWS, Azure, GCP, and Snowflake, integrating advanced data engineering, machine learning, and governance frameworks to drive insights and innovation.
Developed a robust Desktop as a Service (DaaS) platform for Cloudeey in Dublin, leveraging Python (Flask), React, Kafka, VMware vSphere, and Google Cloud Infrastructure to deliver scalable VM management, smart analytics, billing automation, and customer support solutions.
Led data-driven initiatives at Abu Dhabi Airports, including Time Attendance Integration, leveraging Azure, ETL automation, and machine learning for predictive analysis. Streamlined manual document integration into dynamic dashboards, prioritizing data security.
In the dynamic Workforce project, I seamlessly integrate Databricks and Azure for robust data pipelines, optimizing SQL Server and machine learning for insightful workforce analysis. My meticulous data cleaning ensures accuracy, presented through interactive PowerBI dashboards, driving data-driven decisions and organizational success.
This project involves analyzing 911 call data from Kaggle, including geographic coordinates, call descriptions, timestamps, and other relevant details. It offers insights into emergency call patterns and aids in enhancing response strategies for improved public safety.
In this data project we will focus on exploratory data analysis of stock prices. This project is meant to practice data visualization, pandas skills as well as banks stocks analysis.
All the clients were impressed and had smooth journey working with me.
If you have an idea, need any consulation, data analysis or AI expert the lets connect.