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Syed Zain Ul Abideen M.

@ZainMustafaH

5.0
2
1.3
1.3
100%

Full Stack Data Scientist || ML & AI

$30 USD / Jam
・
Bendera
Pakistan (9:02 PTG)
・
Menyertai pada Februari 13, 2023
$30 USD / Jam
・
"As a seasoned data scientist and AI developer with over 3 years of hands-on experience, I specialize in harnessing the power of technology to solve complex problems. My core areas of expertise lie in computer vision, web scraping, natural language processing, and object detection projects. I excel in Python programming, with a particular focus on automation and web scraping using Python functions. Moreover, I've honed my skills in the practical application of machine learning and artificial intelligence techniques, including classification, regression, association rule mining, clustering, and dimensionality reduction. My proficiency extends to natural language processing and time series forecasting, where I've delivered tangible results for various projects. Beyond the technical aspects, I have a solid foundation in the practical use of languages like Python, R, KNIME, JavaScript, and SQL. Our project with a commitment to delivering effective solutions that leverage cutting-edge technologies. With a keen eye for detail and a passion for innovation, To provide high-quality services tailored to your specific needs." Other Offer services: Tax Filing in USA, To get ITIN , Tax year 2020/2021/2022 Late filing or Amendment Business Registration, Business Consulting in the USA, Agile Project Management Note: Notary Public, Physicals office service in DC Metro Area USA. Our Tax Filing Expertise: ? Tax Compliance: We specialize in navigating the intricate web of tax codes and regulations to keep you fully compliant. ? Tax Optimization: Our experts are skilled in finding legitimate deductions and credits to minimize your tax liability.
Pengesahan
Tepat pada masa
100%
Mengikut bajet
100%
Kadar terima
100%
Freelancer Python Developers Pakistan
Lihat semua Python Developers dalam Pakistan

Portfolio

Portfolio

11043696
I developed a solution for image classification. I collected diverse labeled images, preprocessed them by resizing and converting to grayscale. Applying PCA, I extracted principal components and reduced dimensionality. Training a model using reduced features, I achieved accurate classification. Evaluation, fine-tuning, and deployment ensure optimal results.
PCA image classification
11033850
Welcome to my Sentiment Analysis Portfolio, where I showcase my expertise in analyzing and understanding sentiments expressed in textual data. In collaboration with an e-commerce company, I developed a robust sentiment analysis system to analyze product reviews. Leveraging advanced NLP techniques, including sentiment lexicons, feature engineering, and machine learning models, I accurately classified reviews as positive, negative, or neutral. The system provided valuable insights into customer opinions, helping the company identify areas for product improvement and enhancing customer satisfaction. Additionally, I implemented sentiment trend analysis, allowing the company to track sentiment fluctuations over time and identify emerging patterns and sentiments associated with different product categories. This project demonstrated my ability to extract actionable insights from large volumes of textual data, empowering businesses to make data-driven decisions and improve their overall perfo
Sentiment Analysis Environment Costumer Dashboard
10965630
A time series forecasting portfolio showcases an individual's ability to analyze historical data and predict future trends using various statistical and machine learning techniques. The portfolio may include examples of successful forecasting projects across different industries such as finance, marketing, and healthcare. It may also highlight the use of different tools and technologies such as Python, R, and Excel to perform data analysis and visualization. Overall, a strong time series forecasting portfolio demonstrates a deep understanding of time series data and the ability to generate accurate predictions to inform decision-making.
Time series Forecasting
10822740
Clustering is a technique in machine learning that involves grouping similar data points together based on their characteristics or features. In HR portfolio analysis, clustering can be used to group employees, job positions, or departments based on various factors such as skills, performance, or job responsibilities. For example, an HR manager may use clustering to group employees based on their skills or job responsibilities. By doing so, the manager can identify areas where there may be skill gaps or where certain departments may need additional training or resources. Clustering can also be used to identify high-performing employees or departments. By analyzing the characteristics of these high performers, HR managers can develop strategies to replicate their success across the organization. Overall, clustering can provide valuable insights into an HR portfolio by identifying patterns and relationships that may not be apparent through traditional analysis methods. By understandin
HR Clustering
11043696
I developed a solution for image classification. I collected diverse labeled images, preprocessed them by resizing and converting to grayscale. Applying PCA, I extracted principal components and reduced dimensionality. Training a model using reduced features, I achieved accurate classification. Evaluation, fine-tuning, and deployment ensure optimal results.
PCA image classification
11033850
Welcome to my Sentiment Analysis Portfolio, where I showcase my expertise in analyzing and understanding sentiments expressed in textual data. In collaboration with an e-commerce company, I developed a robust sentiment analysis system to analyze product reviews. Leveraging advanced NLP techniques, including sentiment lexicons, feature engineering, and machine learning models, I accurately classified reviews as positive, negative, or neutral. The system provided valuable insights into customer opinions, helping the company identify areas for product improvement and enhancing customer satisfaction. Additionally, I implemented sentiment trend analysis, allowing the company to track sentiment fluctuations over time and identify emerging patterns and sentiments associated with different product categories. This project demonstrated my ability to extract actionable insights from large volumes of textual data, empowering businesses to make data-driven decisions and improve their overall perfo
Sentiment Analysis Environment Costumer Dashboard
10965630
A time series forecasting portfolio showcases an individual's ability to analyze historical data and predict future trends using various statistical and machine learning techniques. The portfolio may include examples of successful forecasting projects across different industries such as finance, marketing, and healthcare. It may also highlight the use of different tools and technologies such as Python, R, and Excel to perform data analysis and visualization. Overall, a strong time series forecasting portfolio demonstrates a deep understanding of time series data and the ability to generate accurate predictions to inform decision-making.
Time series Forecasting
10822740
Clustering is a technique in machine learning that involves grouping similar data points together based on their characteristics or features. In HR portfolio analysis, clustering can be used to group employees, job positions, or departments based on various factors such as skills, performance, or job responsibilities. For example, an HR manager may use clustering to group employees based on their skills or job responsibilities. By doing so, the manager can identify areas where there may be skill gaps or where certain departments may need additional training or resources. Clustering can also be used to identify high-performing employees or departments. By analyzing the characteristics of these high performers, HR managers can develop strategies to replicate their success across the organization. Overall, clustering can provide valuable insights into an HR portfolio by identifying patterns and relationships that may not be apparent through traditional analysis methods. By understandin
HR Clustering
Perubahan disimpan
5.0 · 2 Reviews
Ulasan
Avatar Pengguna
Fix scrapping error on matchstats • $15 USD
Syed Zain Ul Abideen M. is a nice guy, he is a professional, not only that, he is also great Data Scientist, one of the best I've worked with.
Princewill O.
@pbolali69
•
Bendera
Abuja, Nigeria
•
1 tahun yang lalu
Kongsi
X
Brain Tumor Detection using Faster R-CNN -- 2 • $30 USD
he was a great freelancer. Good job with nice presentations. Always in contact.
Ömer Faruk G.
@xogehvx
•
Bendera
Bursa, Turkey
•
1 tahun yang lalu
Kongsi
Pengalaman
Data Science Consultant
Mei, 2023 - Sekarang
•
1 tahun, 4 bulan
World Bank
Mei, 2023 - Sekarang
•
1 tahun, 4 bulan
Working on projects of Artificial Intelligence
Mei, 2023 - Sekarang
•
1 tahun, 4 bulan
Data Scientist
Mac, 2022 - Sekarang
•
2 tahun, 6 bulan
Dice Analytics
Mac, 2022 - Sekarang
•
2 tahun, 6 bulan
Client . World bank NLP, machine learning, data visualization, and project management. Working on Project of "World Bank" as a Data Scientist
Mac, 2022 - Sekarang
•
2 tahun, 6 bulan
Jr.Data Scientist
Mac, 2022 - Mac, 2023
•
1 tahun
Dice camp
Mac, 2022 - Mac, 2023
•
1 tahun
Client: US based Project: Chat Bot development, Tensor Flow, RASA, Pytorch, Java Script 2: Churn Prediction, Machine Learning, Time series Forecasting
Mac, 2022 - Mac, 2023
•
1 tahun
Pendidikan
University of the People
2019 - 2023
•
4 tahun
Bachelors in Computer Science
Bendera
United States
2019 - 2023
•
4 tahun
Kelayakan
Microsoft certified Data Scientist
2023
Microsoft
As a Microsoft certified Data Scientist, I possess in-depth knowledge and practical skills in data science. This course equips me with advanced techniques and tools to extract valuable insights from complex datasets. I excel in statistical analysis, machine learning, and predictive modeling, enabling me to make informed decisions and drive impactful outcomes. With expertise in Microsoft technologies
2023
Artificial Intelligence(Deep Learning and computer vision)
2023
Dice Analytics
"Unleashing AI's Power: Deep Learning & Computer Vision for Next-Level Innovation."
2023
Data Warehouse and business Intelligence
2023
Dice Analytics
The Data Warehouse and Business Intelligence course is designed to provide learners with a comprehensive understanding of the concepts, tools, and technologies used in building and managing data warehouses, as well as performing business intelligence analysis. The course covers various topics, including SQL, Teradata, Power BI, data warehousing, and Talend and Tableau.
2023
Penerbitan
Chatbot Development
Italeem
I developed a chat bot for ItaLeem, an educational platform. The bot uses NLP technology to understand user queries and provide personalized assistance. It's trained on a vast dataset and offers accurate information, study resources, and interactive conversations. The user-friendly interface enhances the learning experience, making it a valuable tool for students.
Data Scientist of Month
Bracket Agency
Provide training to students on Data Science and Machine Learning. Work on Client engagement with stake holders
Pensijilan
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