About

Karndeep Singh is a versatile Data Scientist and Freelancer with a passion for leveraging data to drive business growth and solve complex problems. With over 3 years of industry experience in Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing, Karndeep is well-versed in a wide range of technologies and techniques, including end-to-end analytics, data engineering, data visualization, data modeling, and model deployment. Karndeep has experience with a variety of programming languages and tools and is well-versed in statistics. He possesses expertise in advanced machine learning techniques such as regression modeling, random forest, XGBoost, CatBoost, gradient boost, kNN classifier, K-means clustering, DBSCAN, autoencoder, feature extraction (PCA, factor analysis), advanced natural language processing (text-analytics, encoder-decoder, BERT, transformer architecture, etc.), advance CNN, image recognition, object detection (Tensorflow Object detection API, Detectron2, YOLO), GANs (Generative Adversarial Network), VAE (Variational Auto Encoder), and business domain expertise such as real-time image analysis, chatbot analysis, enterprise data analytics, sales and marketing analytics, customer segmentation, customer lifetime value, retention analysis, and product analytics. Karndeep has worked with a variety of companies, including Falabella, where he is currently employed as a Data Scientist, and fidelity, where he worked as a Data Scientist. At Falabella, Karndeep implemented semantic search and hybrid search using NLP techniques to improve the search results and developed a data quality dashboard to track, analyze, and quantify data quality issues in catalog using statistical and business metrics. At fidelity, Karndeep helped organizations integrate AI into their business, processed over 1 lakh image documents on a daily basis, and created a context-based question and answering system on 50K+ financial documents using NLP and computer vision. Karndeep has a Post Graduate Diploma in Data Science from MAHE and a Bachelor of Engineering in Civil Engineering from Vishveshwaraiah Technological University. He is proficient in various technologies such as Python, SQL, Tensorflow, Pytorch, and Keras, and tools such as Jupyter Notebook, PyCharm, VSCode, Git, Flask, Streamlit, Docker, and REST API. Karndeep is also familiar with big data tools and frameworks such as PySpark and Hadoop and MLOps frameworks such as TFX (Tensorflow Extended