Amit Singh

A Machine Learning Engineer with a strong math background, I excel in crafting data-driven solutions for enhanced efficiency and accuracy. My experience in application design and development allows me to create scalable solutions to tackle complex business challenges. With a passion for data analysis and verification, I empower data-driven decision-making. Active in the Python open-source community, I enthusiastically explore advancements in Deep Learning and Reinforcement Learning. Adept at collaborating with cross-functional teams to deliver impactful results. Eager to contribute my expertise in driving innovation and making data-driven decisions. Proficient in handling large-scale datasets and implementing distributed computing frameworks for efficient model training and deployment. Skilled in building end-to-end machine learning pipelines, from data preprocessing to model evaluation. Skills and knowledge: Generic programming: Python, SAS, JavaScript. Database: SQL Server, Oracle, MySQL, PostgreSQL, DB2, Redis. Business intelligence: Power BI, Excel. Data visualisation: Seaborn, Matplotlib, Plotly, DASH. Machine Learning Algorithms: Linear (Simple & Multiple) Regression, Logistic Regression, Unsupervised Learning: Clustering, Support Vector Machine, Decision trees/Random Forest, Naïve Bayes, K-Means Clustering, K Nearest Neighbors, Bayesian Machine Learning. Deep Learning:- Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Transformers using Keras/Tensorflow and Pytorch. Natural Language Processing(NLP):- Lexical processing(Tokenisation, Lemmatization, Stemming & Canonicalisation), Syntactic Processing(POS Tagging, Viterbi Heuristic, Markov Chain and HMM), Semantic Processing(Arity and Reification, WordNet and ConceptNet Databases). Cloud and parallel computing: AWS (S3, EC2), GCP, Spark. IDE and tools: Spyder, Jupyter Notebook, VS Code, Anaconda. CI/CD Tools: Docker, Kubernetes. Experience with Spark Technologies, like Spark SQL, Spark Streaming etc. Sector domain: Finance, Technology, Healthcare, Insurance, Oil & Energy, Computer Software.