Hire Remote Senior
Data Science Developers
in the United Kingdom

Data Science & AI/ML professional with over 8 years of hands-on experience and proficiency in Python, R, Azure, Power BI, and various frameworks, systems, and libraries such as Pandas, scikit-learn, TensorFlow, PyTorch, NumPy, Keras, Matplotlib, Seaborn, Plotly, Spark etc. Track record in working with datasets and business settings with respect to multiple industries like financial institutions, medical establishments, telecommunications, Energy sector, e-commerce and print media. Proficient in identifying present and future issues across various scenarios and actively pursuing efficient solutions. Expertise and exposure in various algorithms, including decision trees, random forests, SVM, KNN, and bootstrapping tests. Hands-on experience in various LLM models like GPT and BERT. Experience in supervising teams for various AI/ML projects. Proficient in simplifying complex technical concepts for varied listeners, ensuring clarity, and understanding. Hands-on experience encompassing deep-learning-based computer vision, NLP algorithms, and statistical analysis. Masters in Artificial Intelligence graduate from the University of Stirling.

Data ScienceMachine learningNLPData VisualizationData IntegrationAIPython 3PythonAnomaly DetectionGPT-4Power BICross-functional collaborationFeature Modeling

As a seasoned Machine Learning Engineer with over 5 years of industry experience, I’ve had the privilege of contributing my expertise to some remarkable companies, including Triumph Technology LLC, LucidAct, ScribeEMR, 7Cups, and Zetane. My passion lies at the intersection of machine learning and Python programming, where I thrive on tackling complex challenges and driving innovation. Beyond my professional endeavors, I am deeply committed to sharing my knowledge and experiences with others in the field. I firmly believe in the philosophy of continuous improvement, striving to grow by 1% each day in both my technical skills and personal development. \------------------------------------ Experience with fraud detection, tabular data, and unsupervised learning. 1. Helped Ncell, a teleco, identify customers misusing their new sim plan(customer churning) offers using tabular data of history of their purchases.(tabular data + fraud/outlier detection + unsupervised learning) 2. Helped Open Inference holdings improve the precision of their stock prediction model by 6% using public sentiments on various stocks (tabular data) 3. Grouped textual documents by clustering(clustering - unsupervised learning) 4. Created an ETL pipeline to gather stock data(tabular data + database + streaming data)

Data ScienceMachine learningAINLPUnsupervised LearningLarge Language ModelsData VisualizationData analyticsArtificial Neural NetworksPythonChatGPTOpenCVNumPyPandasTensorFlowPyTorchHuggingfaceAWSAmazon EC2DockerPython 3AWS LambdaAmazon ECSAWS SageMakerScikit-ImageAWS Kinesis FirehoseAWS KinesisAws glueScikit-learn

Hi! I'm a data scientist with a strong background in LLMs and GenAI. I've worked on lots of wide-reaching projects, including a RAG agent with 20 million users for a leading UK bank, and an agentic architecture for a major financial services company. My background is original in social sciences, and I'm passionate about helping people from non-technical background get their foot in the door in the tech sector. Please reach out if you've got any questions!

Data ScienceMachine learningNLPAILLMGenerative AIPythonRTensorFlowSQLFlaskFastapiStatisticsChatbot