About Us

Hi I'm Muhammad Saad, a Full-Stack Data Scientist with a proven track record of data-driven applications. I have years of experience in Python, SQL, machine learning and deep learning algorithms, database development, data analysis, data warehouse development, data visualization, and web application development. I am deeply interested in creating data-driven AI applications to solve business problems.

As a Data Scientist, I have good technical and quantitative skills. I am passionate about solving business challenges with data. I am confident that I can use my skills and experience to help your business achieve its goals.

I am always eager to learn new technologies, tools, and methodologies, and to collaborate with diverse and talented teams.

Data Scientist

Web developer

Data Analyst

AI developer

Experience

Work Experience

Team Lead Data Engineer at RedCoast

Developed a data pipeline to extract data from Google Analytics and DV360 platforms, storing it in the Google Cloud BigQuery table using the Python script.

Led the development team of a data analytics web application for real-time market ads data analysis dashboards, automated ETL workflows, and email alerts triggered by data thresholds. Developed Python script for dynamic SQL query creation for extracting data dashboard visuals for insightful data analysis, featuring multi-user role-based access and row-level security for personalized data views.

Designed and implemented an architecture that migrated virtual machine code to Google Cloud Functions serverless, reducing company cloud costs by 95%.

ETL workflows to extract and process data from APIs (Google Analytics, DV360, Salesforce) and integrated data into BigQuery using Python scripts.

Developed Python scripts to extract invoices data and load it into the GCP BigQuery table.

Associate Python Developer - Data Engineer at Prismware Technologies

- Developed and maintained data pipelines using Google Cloud Platform (GCP).

- Designed and implemented Google Cloud Functions to handle real-time data processing and developed Looker studio Dashboard and reporting.

-Developed and maintained Django web APIs to provide access to data and services, data APIs integration with other applications.

Automation Developer at Huawei

- Designed and implemented ETL pipelines to extract data from databases, APIs

- Created and maintained dashboards and reports to visualize and analyze data.

- Worked closely with stakeholders to understand their needs and deliver solutions that met their requirements.

Data Engineer at Fatima Group

- Designed, developed, and implemented ETL pipelines to extract, transform, and load data from Oracle ERP systems into a data warehouse.

- Developed and maintained SQL scripts to perform reporting, and aggregation.

- Troubleshoot and resolved data quality issues

- Worked with the Finance team to develop data models and meet data requirements

Data Scientist

- Developed and maintained web applications and data-driven application using Python, Django, React, and AWS

- Developed and maintained machine learning and deep learning models using Python, PyTorch, and TensorFlow.

- Analyzed large datasets to identify trends and patterns

- Built and deployed data pipelines, lambda function, EC2, ECS, aws Lightsail on AWS

Skills

Programming Languages

Python

PySpark

SQL

HTML CSS

JavaScript

Data and Machine Learning

Data Engineering

ETL /ELT

Automation

Data Warehousing

SQL Database

NoSQL

Data Visualization

Data Analysis

Machine Learning

Deep Learning

Web application Development

Data Driven Apps

React

Django

Flask

Cloud DevOps

Cloud Computing

AWS

Google Cloud (GCP)

DevOps

MLOps

Projects

HTML5 Bootstrap Template by colorlib.com
Python | React | Django | AWS

E-commerce Web Application with AI Features

E-commerce appplication that allows users to easily buying and selling.Features, Visual search, Room visualizer,integrated Google Maps and analytics to help vendors make informed decisions.

HTML5 Bootstrap Template by colorlib.com
Python | MLOps | AI | Flask

Predictive Analysis of Stock Market Share

Prediction of stock market share prices. By utilizing a dataset of historical stock market share data, the LSTM model train a predictive model to forecast future stock prices.

HTML5 Bootstrap Template by colorlib.com
Python | D3.js | Flask | web-app

Map Visualization and Time Series Forecasting

Graph visualization and time series forecasting to analyze bike share data. The project creates visualizations that show the distribution of bike share stations and the movement of bikes over time

HTML5 Bootstrap Template by colorlib.com
Python | Hadoop | MapReduce

Big Data Analysis for Recommendation System

Hadoop-MapReduce to perform data analysis on big data sets.Find users with similar interest based on their check-in activities record in social networks.

HTML5 Bootstrap Template by colorlib.com
Python | SQL | ETL | Flask

Data Visualization for Retail Product Sales

Data visualization to analyze retail product sales data. The project creates visualizations that help to identify trends and patterns in the data, which can be used by retailers to make informed decisions about product pricing, marketing, and inventory management.

HTML5 Bootstrap Template by colorlib.com
Python | NLP

Roman Urdu Poetry Generation model

Generate poetry in Roman Urdu. The project uses a dataset of Urdu poems to a language model, which can then be used to generate poems.

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