AI Powered Candidate Screening, now within your ATS

sd_apik_36ea054391c8461db7df395a45e71640

curl --location 'https://api.startdate.co/api/v1/powered_by/screen' \
--header 'X-POWEREDBY-API-KEY: Bearer sd_apik_36ea054391c8461db7df395a45e71640' \
--form 'job_title="Python With Machine Leaning"' \
--form 'job_description="Develop and deploy state-of-the-art machine learning models and algorithms for NLP and computer vision applications.Conduct research and stay up to date with the latest advancements in NLP and computer vision to ensure our solutions are cutting-edge.Design and implement NLP models and techniques for text generation, information retrieval, sentiment analysis, named entity recognition, topic modelling, and machine translation.Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality and accurate results.Deploy and maintain machine learning models in cloud platforms such as AWS ensuring scalability and reliability.Conduct regular performance evaluations, identify bottlenecks, and implement optimization strategies to enhance model efficiency and accuracy.Proficient in Python with 2+ years of strong programming experience.Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).Analytical & Creative mindset: Strong problem-solving skills, with the ability to analyse complex data and derive actionable insights. A solid understanding of statistical analysis and data visualization techniques.In-depth knowledge of machine learning data structures and modelling, software architecture, libraries and frameworks to create AI that accomplishes outlined goals.Strong mathematics skills, especially in statistics, to create algorithms.Should have good logical, analytical and communication skills with client interaction experience."' \
--form 'skills="Python, Machine Learning, TensorFlow, PyTorch, scikit-learn, Django, Flask , Keras"' \
--form 'resumes=@"John Martin - ML with Python.pdf"'

"screening_response": [
        {
            "id": "8480d2e1-5998-4fcb-8e35-7219b2a3a22d",
            "first_name": "John",
            "last_name": "Martin",
            "email": "johnmartin@gmail.com",
            "phone": "+919207576171",
            "accuracy": 92.91080236434937,
            "address": {
                "city": "New York",
                "state": "NY",
                "country": "USA"
            },
            "summary": "John Martin is a Junior Machine Learning Engineer with experience in developing anomaly detection methods, backend codes for machine learning products, and successful projects in image classification, object detection, segmentation, and OCR. They have also worked as a Project Trainee, acquiring expertise in document classification and image preprocessing methods. In their research experience, they developed a deep learning-based one-class classification model for anomaly detection and a deep learning-based object detection system for satellite images. They have also completed projects in text summarization and safe skull detection using AI cameras. John Martin holds a Master of Technology in Telecommunication Engineering and a Bachelor of Technology in Electronics and Communication Engineering. They have programming skills in Python, C, and Java, and are proficient in libraries such as Numpy, Pandas, OpenCV, Tensorflow, and Pytorch. They are also experienced in using tools such as Git, AWS, Docker, and have knowledge of algorithms in machine learning and deep learning. They have certifications in project management, deep learning with PyTorch, and improving deep neural networks.",
            "skills": [
                {
                    "skill": "python"
                },
                {
                    "skill": "c"
                },
                {
                    "skill": "java"
                },
                {
                    "skill": "numpy"
                },
                {
                    "skill": "pandas"
                },
                {
                    "skill": "opencv"
                },
                {
                    "skill": "tensorflow"
                },
                {
                    "skill": "pytorch"
                },
                {
                    "skill": "regex"
                },
                {
                    "skill": "scikit learn"
                },
                {
                    "skill": "nltk"
                },
                {
                    "skill": "git"
                },
                {
                    "skill": "aws"
                },
                {
                    "skill": "docker"
                },
                {
                    "skill": "mlflow"
                },
                {
                    "skill": "mlops"
                },
                {
                    "skill": "azure"
                },
                {
                    "skill": "matlab"
                },
                {
                    "skill": "machine learning"
                },
                {
                    "skill": "deep learning"
                }
            ],
            "work_history": [
                {
                    "title": "junior machine learning engineer",
                    "company": "qualitas",
                    "to_date": " ",
                    "from_date": "04-01-2022",
                    "description": "researched and implemented novel anomaly detection methods to address data hungriness  issues and optimize training speed while maintaining high accuracy metrics. developed robust backend codes for product eagleeye, an end-to-end machine learning  product. delivered successful projects focused on image classification, object detection, segmentation,  and ocr (optical character recognition). reviewed code developed by other developers to ensure adherence to best practices, style  guidelines, and code quality. led design reviews with peers and stakeholders to evaluate and select appropriate technologies  for project implementation."
                },
                {
                    "title": "project trainee",
                    "company": "datamatics global services limited",
                    "to_date": "12-01-2021",
                    "from_date": "07-01-2021",
                    "description": "created efficient document classification codes for automated document processing. acquired expertise in various image preprocessing methods through hands-on experience."
                }
            ],
            "recommended_skills": [
                {
                    "skill": "c",
                    "accuracy": 100
                },
                {
                    "skill": "machine learning",
                    "accuracy": 100
                },
                {
                    "skill": "scikit learn",
                    "accuracy": 92
                },
                {
                    "skill": "tensorflow",
                    "accuracy": 80
                },
                {
                    "skill": "pandas",
                    "accuracy": 67
                },
                {
                    "skill": "git",
                    "accuracy": 67
                },
                {
                    "skill": "matlab",
                    "accuracy": 67
                }
            ],
             "education_history": [
                {
                    "name": "Columbia University",
                    "degree": "Master of Business Administration (MBA)",
                    "to_date": "01-01-2022",
                    "from_date": "01-01-2020"
                },
                {
                    "name": "The City University of New York (CUNY)",
                    "degree": "bachelor of technology in electronics and communication engineering",
                    "to_date": "01-01-2018",
                    "from_date": "01-01-2014"
                }
            ],
        }
    ]