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$25 USD / hora
Bandera de PAKISTAN
karachi, pakistan
$25 USD / hora
Aquí son las 9:42 a. m.
Se unió el abril 15, 2022
0 Recomendaciones

Awais H.

@awaishanif11

 5,0 (6 comentarios)
3,2
3,2
100%
100%
$25 USD / hora
Bandera de PAKISTAN
karachi, pakistan
$25 USD / hora
100 %
Trabajos finalizados
100 %
Dentro del presupuesto
100 %
A tiempo
10 %
Tasa de recontratación

AI/ML | Data Scientist | Full Stack Developer

Hi! I am a Data Scientist and Full Stack Developer with over five years of experience. As a versatile professional adept in the realms of Data Science, Full Stack Development, and Generative AI, I bring a potent blend of expertise to the table. With a proven track record in leveraging data-driven insights to develop robust solutions, I specialize in crafting innovative algorithms and applications that drive tangible results. My journey as a Data Scientist has equipped me with a keen eye for uncovering patterns within complex datasets, enabling informed decision-making and predictive modeling. Proficient in a myriad of statistical tools and programming languages including Python, R, and MATLAB, I excel in data manipulation, exploratory analysis, and machine learning techniques. Moreover, my proficiency extends to Full Stack Development, where I have honed my skills in both frontend and backend technologies. From designing intuitive user interfaces with HTML, CSS, and JavaScript to architecting scalable backend systems with frameworks like Flask, React and Nextjs, I am well-versed in the end-to-end development lifecycle. Furthermore, my passion for Generative AI drives my pursuit of cutting-edge solutions that push the boundaries of creativity and innovation. I have hands-on experience in developing AI-powered systems for natural language processing, computer vision, and creative content generation, utilizing frameworks such as TensorFlow and PyTorch. In past projects, I have collaborated with diverse teams to deliver impactful solutions across various industries including healthcare, finance, and e-commerce. Whether it's building predictive models to optimize operational efficiency, creating immersive user experiences, or exploring the frontiers of artificial intelligence, I thrive in dynamic environments where innovation is paramount. Driven by a relentless pursuit of excellence, I am committed to delivering solutions that not only meet but exceed expectations. With a strong foundation in Data Science, Full Stack Development, and Generative AI, I am poised to tackle the most complex challenges and drive meaningful outcomes for your organization. Let's collaborate and transform ideas into reality. #ML #DeepLearning #AI #Python #LLM #ChatGPT #NLP #Dashboard #SQL #OpenAI #Huggingface #Langchain #Computer Vision #Time Series #React #Next JS #Javascript # HTML #CSS #MachineLearning #LLAMA #Mistral #AWS #Azure #GCP #R #MATLAB #Flask #FastAPI #Django
Freelancer Machine Learning Experts Pakistan
Ver todo Machine Learning Experts en Pakistan

Contacta Awais H. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Portafolio

11798667
The dashboard utilizes Next.js and openai api for the dashboard generation, the user can upload any dataset and provide it's openai api key and the dashboard will be automatically generated.
AI Data Dashboard
The dashboard utilizes Next.js and openai api for the dashboard generation, the user can upload any dataset and provide it's openai api key and the dashboard will be automatically generated.
AI Data Dashboard
11860787
This project utilizes OpenAI API for forecasting, the backend is based on python and the frontend is built using Next.js, the project supports 5 different Machine learning and deep learning models and it also has both backtesting and forecasting modes.
AI Data Forecast
11798676
The Chatbot utilizes Next.js, python and openai api for the data analysis, the user can upload any dataset and provide it's openai api key and then it can ask questions related to dataset.
AI Data Chat
11361095
Question Answering System using LLAMA2 LLM
11164267
In this particular undertaking, I employed chatgpt data obtained from subreddits to conduct sentiment analysis. The data I worked with lacked labels, so I employed the VADER library to generate sentiment scores. For the actual sentiment analysis task, I utilized BERT, CNN, and LSTM models. Through these efforts, I achieved an accuracy of approximately 85%.
Sentiment Analysis using BERT/CNN/LSTM on Reddit ChatGPT Dat
In this particular undertaking, I employed chatgpt data obtained from subreddits to conduct sentiment analysis. The data I worked with lacked labels, so I employed the VADER library to generate sentiment scores. For the actual sentiment analysis task, I utilized BERT, CNN, and LSTM models. Through these efforts, I achieved an accuracy of approximately 85%.
Sentiment Analysis using BERT/CNN/LSTM on Reddit ChatGPT Dat
In this particular undertaking, I employed chatgpt data obtained from subreddits to conduct sentiment analysis. The data I worked with lacked labels, so I employed the VADER library to generate sentiment scores. For the actual sentiment analysis task, I utilized BERT, CNN, and LSTM models. Through these efforts, I achieved an accuracy of approximately 85%.
Sentiment Analysis using BERT/CNN/LSTM on Reddit ChatGPT Dat
In this particular undertaking, I employed chatgpt data obtained from subreddits to conduct sentiment analysis. The data I worked with lacked labels, so I employed the VADER library to generate sentiment scores. For the actual sentiment analysis task, I utilized BERT, CNN, and LSTM models. Through these efforts, I achieved an accuracy of approximately 85%.
Sentiment Analysis using BERT/CNN/LSTM on Reddit ChatGPT Dat
10747071
In this project I've used vision transformer architecture to classify images of skin tumors between benign and malignant classes, I was able to achieve 93% accuracy which was in line with the current SOTA architectures. https://colab.research.google.com/drive/1_arqHk7udnklxV-kPtGXrCTckOFT4FnJ?usp=sharing
Skin Cancer Classification Using Vision Transformer
In this project I've used vision transformer architecture to classify images of skin tumors between benign and malignant classes, I was able to achieve 93% accuracy which was in line with the current SOTA architectures. https://colab.research.google.com/drive/1_arqHk7udnklxV-kPtGXrCTckOFT4FnJ?usp=sharing
Skin Cancer Classification Using Vision Transformer
In this project I've used vision transformer architecture to classify images of skin tumors between benign and malignant classes, I was able to achieve 93% accuracy which was in line with the current SOTA architectures. https://colab.research.google.com/drive/1_arqHk7udnklxV-kPtGXrCTckOFT4FnJ?usp=sharing
Skin Cancer Classification Using Vision Transformer
In this project I've used vision transformer architecture to classify images of skin tumors between benign and malignant classes, I was able to achieve 93% accuracy which was in line with the current SOTA architectures. https://colab.research.google.com/drive/1_arqHk7udnklxV-kPtGXrCTckOFT4FnJ?usp=sharing
Skin Cancer Classification Using Vision Transformer
11798667
The dashboard utilizes Next.js and openai api for the dashboard generation, the user can upload any dataset and provide it's openai api key and the dashboard will be automatically generated.
AI Data Dashboard
The dashboard utilizes Next.js and openai api for the dashboard generation, the user can upload any dataset and provide it's openai api key and the dashboard will be automatically generated.
AI Data Dashboard
11860787
This project utilizes OpenAI API for forecasting, the backend is based on python and the frontend is built using Next.js, the project supports 5 different Machine learning and deep learning models and it also has both backtesting and forecasting modes.
AI Data Forecast
11798676
The Chatbot utilizes Next.js, python and openai api for the data analysis, the user can upload any dataset and provide it's openai api key and then it can ask questions related to dataset.
AI Data Chat
11361095
Question Answering System using LLAMA2 LLM
11164267
In this particular undertaking, I employed chatgpt data obtained from subreddits to conduct sentiment analysis. The data I worked with lacked labels, so I employed the VADER library to generate sentiment scores. For the actual sentiment analysis task, I utilized BERT, CNN, and LSTM models. Through these efforts, I achieved an accuracy of approximately 85%.
Sentiment Analysis using BERT/CNN/LSTM on Reddit ChatGPT Dat
In this particular undertaking, I employed chatgpt data obtained from subreddits to conduct sentiment analysis. The data I worked with lacked labels, so I employed the VADER library to generate sentiment scores. For the actual sentiment analysis task, I utilized BERT, CNN, and LSTM models. Through these efforts, I achieved an accuracy of approximately 85%.
Sentiment Analysis using BERT/CNN/LSTM on Reddit ChatGPT Dat
In this particular undertaking, I employed chatgpt data obtained from subreddits to conduct sentiment analysis. The data I worked with lacked labels, so I employed the VADER library to generate sentiment scores. For the actual sentiment analysis task, I utilized BERT, CNN, and LSTM models. Through these efforts, I achieved an accuracy of approximately 85%.
Sentiment Analysis using BERT/CNN/LSTM on Reddit ChatGPT Dat
In this particular undertaking, I employed chatgpt data obtained from subreddits to conduct sentiment analysis. The data I worked with lacked labels, so I employed the VADER library to generate sentiment scores. For the actual sentiment analysis task, I utilized BERT, CNN, and LSTM models. Through these efforts, I achieved an accuracy of approximately 85%.
Sentiment Analysis using BERT/CNN/LSTM on Reddit ChatGPT Dat
10747071
In this project I've used vision transformer architecture to classify images of skin tumors between benign and malignant classes, I was able to achieve 93% accuracy which was in line with the current SOTA architectures. https://colab.research.google.com/drive/1_arqHk7udnklxV-kPtGXrCTckOFT4FnJ?usp=sharing
Skin Cancer Classification Using Vision Transformer
In this project I've used vision transformer architecture to classify images of skin tumors between benign and malignant classes, I was able to achieve 93% accuracy which was in line with the current SOTA architectures. https://colab.research.google.com/drive/1_arqHk7udnklxV-kPtGXrCTckOFT4FnJ?usp=sharing
Skin Cancer Classification Using Vision Transformer
In this project I've used vision transformer architecture to classify images of skin tumors between benign and malignant classes, I was able to achieve 93% accuracy which was in line with the current SOTA architectures. https://colab.research.google.com/drive/1_arqHk7udnklxV-kPtGXrCTckOFT4FnJ?usp=sharing
Skin Cancer Classification Using Vision Transformer
In this project I've used vision transformer architecture to classify images of skin tumors between benign and malignant classes, I was able to achieve 93% accuracy which was in line with the current SOTA architectures. https://colab.research.google.com/drive/1_arqHk7udnklxV-kPtGXrCTckOFT4FnJ?usp=sharing
Skin Cancer Classification Using Vision Transformer

Comentarios

Cambios guardados
Mostrando 1 - 5 de 6 reseñas
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5,0
₹5.000,00 INR
Project 36907507 has been deleted
It was good to work with Awais . He help me to solve my NLP project in budget and in time. We will work again soon. Thanks
R
Bandera de Rakesh P.
@rpurayil
•
hace 9 meses
5,0
$20,00 NZD
Need to plot data in Jupiter notebook -- 2
Awais is super responsive and solved my work efficiently, would recommend and definitely hire again.
Algorithm
Machine Learning (ML)
Data Mining
Statistical Analysis
+1 más
Avatar del usuario
Bandera de Hinna T.
@hinnaa
•
hace 1 año
5,0
$85,00 SGD
Machine Learning Project
Good quality of work , delivered on time
M
Bandera de Maria J.
@Mariajohn13
•
hace 1 año
5,0
€50,00 EUR
Project 35856997 has been deleted
excellent freelancer, would hire again!
Avatar del usuario
Bandera de Ana B.
@annakramer3
•
hace 1 año
5,0
$30,00 AUD
Project for Awais H.
Good work and nice person. Thank you for help brother.
Algorithm
Machine Learning (ML)
Data Mining
Statistical Analysis
+1 más
Avatar del usuario
Bandera de Md Mehedi H.
@kingqueen369
•
hace 2 años

Experiencia

Machine Learning Engineer

CATCOS (Pvt.) Ltd.
may 2019 - may 2023 (4 años)
My work at CATCOS includes but not limited to: Managing company data APIs and building ETL pipelines Building and deploying Machine learning and deep learning models Monitoring and doing regular maintenance of the deployed models

Educación

M.S (Data Science)

NED University of Engineering and Technology, Pakistan 2021 - 2023
(2 años)

B.E (Electronics)

Iqra University, Pakistan 2012 - 2016
(4 años)

Calificaciones

Data Analytics And Business Intelligence

DigiSkills.pk
2022
I have gained the follwing skills from this certification: 1) Understanding of foundation and dynamics of Data Analytics & Business Intelligence 2) Understanding of how to identify and formulate market and business problems where analytical techniques have an impact 3) Gained hands on experience on computing tools including MS Excel, MS Power BI, Google Analytics, R, and Tableau to solve these market & business problems.

Getting Started with AWS Machine Learning

Coursera
2020
I have covered the below topics in this course. Key problems that Machine Learning can address and ultimately help solve. How to build intelligent applications using Amazon AI services like Amazon Comprehend, Amazon Rekognition, Amazon Translate and others. How to build, train and deploy a model using Amazon SageMaker with built-in algorithms and Jupyter Notebook instance. Sneak peek into AWS DeepLens - The world’s first deep learning enabled video camera for developers.

Contacta Awais H. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Verificaciones

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Certificaciones

us_eng_1.png US English 1 82%

Principales habilidades

Machine Learning (ML) 8
Data Mining 6
Statistical Analysis 6
Data Science 6
Algorithm 5

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