ML developer
Bawdicsoft
(Other, < 10 employees)
Keywords
Machine Learning
Data Analysis
Python (Programming Language)
Predictive Modelling
Algorithms
Artificial Intelligence
Artificial Neural Networks
Computer Vision
Data Visualization
Health Care
Portfolio
Skills
This is Syed Hurairah, I am a highly skilled and motivated data scientist with 3 years of experience in the field of Machine Learning and Data Science. I have a deep understanding of data analysis, data visualization, and predictive modeling techniques. My expertise in Python, C++ and SQL has helped me deliver accurate and insightful results for my clients. I am a results-driven individual who always strives to exceed client expectations.
Skill: • Machine Learning (Supervised and Unsupervised Learning, Reinforcement learning, Deep Learning, Neural Networks). • Data Analysis (Data Cleaning, Data Wrangling and Exploratory Data Analysis). • Predictive Modeling (Linear Regression, Logistic Regression, Random Forest, • XGBoost, Decision Tree, SVM Algorithm, KNN Algorithm and K-means). • ?Data Visualization (matplotlib, seaborn, plotly, etc.).
Experience: • Developed Predictive models to predict customer for a telecommunication company, resulting in a 15% reducing in churn rates. • Analyzed large datasets to uncover insights for a retail company, leading to a 20% increase in sales. • Built a recommendation engine for an e-commerce company, improving customer engagement and satisfaction by 25%. • Designed and implemented a machine learning algorithm for a healthcare company to predict patient outcomes, reducing medical errors by 10%.
Education: • Syed holds a BS in Information Technology from Virtual University of Pakistan
Certification: • Programming for Everybody (Getting Started with Python) From University of Michigan. • Python Data Structures From University of Michigan. • Crash Course on Python From Google. • Exploratory Data Analysis for Machine Learning From IBM Skills Network • Supervised Machine Learning: Regression From IBM Skills Network • Artificial Intelligent From PIAIC.
Syed is available 6-7 hours per day/42 hours per week and is ready to start working on your project. By choosing him, you will receive a quality product, easy-to-read code, and the assurance that you have a specialist who will always come to your aid.
Skill: • Machine Learning (Supervised and Unsupervised Learning, Reinforcement learning, Deep Learning, Neural Networks). • Data Analysis (Data Cleaning, Data Wrangling and Exploratory Data Analysis). • Predictive Modeling (Linear Regression, Logistic Regression, Random Forest, • XGBoost, Decision Tree, SVM Algorithm, KNN Algorithm and K-means). • ?Data Visualization (matplotlib, seaborn, plotly, etc.).
Experience: • Developed Predictive models to predict customer for a telecommunication company, resulting in a 15% reducing in churn rates. • Analyzed large datasets to uncover insights for a retail company, leading to a 20% increase in sales. • Built a recommendation engine for an e-commerce company, improving customer engagement and satisfaction by 25%. • Designed and implemented a machine learning algorithm for a healthcare company to predict patient outcomes, reducing medical errors by 10%.
Education: • Syed holds a BS in Information Technology from Virtual University of Pakistan
Certification: • Programming for Everybody (Getting Started with Python) From University of Michigan. • Python Data Structures From University of Michigan. • Crash Course on Python From Google. • Exploratory Data Analysis for Machine Learning From IBM Skills Network • Supervised Machine Learning: Regression From IBM Skills Network • Artificial Intelligent From PIAIC.
Syed is available 6-7 hours per day/42 hours per week and is ready to start working on your project. By choosing him, you will receive a quality product, easy-to-read code, and the assurance that you have a specialist who will always come to your aid.
Project history
01/2024
-
02/2024
We developed an AI-powered visual search solution to transform product search in apps and web stores. It enables shoppers to find items easily by taking a picture or uploading an image. The technology identifies products based on visual similarity, linking physical products to digital search. This allows customers to quickly discover exactly what they want just by using images from magazines, celebrities or real life. It assists shoppers in finding clothing, accessories, styles and more through visual search. My goal is to leverage image recognition and AI tagging to make images a part of searchable data. Once trained, the AI can rank and filter images by content to deliver the most relevant results. This technology has the potential to revolutionize search and provide valuable insights for businesses. I'm excited to change the game of how people discover and purchase products online.
04/2023
-
06/2023
Ai Developer
Eaisoft
(Other, 10-50 employees)
Car Tire Trade Checker is a deep learning model designed to identify and classify car tire images. The model is trained on a large dataset of real-world tire images, and it can be used to detecting tire defects. The Car Tire Trade Checker model is based on the VGG16 convolutional neural network architecture. The VGG16 architecture is a deep learning model that was originally developed for image classification tasks. The model consists of a stack of convolutional layers, followed by a stack of fully connected layers. The convolutional layers are responsible for extracting features from the input image, while the fully connected layers are responsible for classifying the image. The Car Tire Trade Checker model is trained on a large dataset of real-world tire images. The dataset includes images of defected tires. The model is trained to identify and classify the tires in the dataset, and it can be used to perform of tasks, such as detecting tire defects.
Certifications
Local Availability
Open to travel worldwide
