Altamash Shaikh

About Altamash Shaikh

Your friendly neighborhood Data Scientist currently solving BizOps problems in Asset Management by deploying Generative AI, Advanced-Statistics, Machine-Learning, and Artificial Intelligence frameworks.I\'ve come to learn (and still continue to learn) how meaningful knowledge can be recovered from obscure data and text using concepts of machine learning, generative AI, statistical learning, deep learning and data preprocessing techniques on platforms such as Python, R and SAS. The idea of a famous quote on data science -\"The goal is to turn data into information, and information into insight\" resonates with the underlying ideology of my approach towards data-driven problem solving.My Data Science Tool-kit includes expertise in-Programming Languages: Python, C++, JAVA-Python Packages: Pandas, NumPy, LlamaIndex, Azure OpenAI, Scikit-learn, Matplotlib, Plotly, Keras, Seaborn, Bokeh, Tensorflow-Databases: SQL-Generative AI: LLMs, Retrieval Augmented Generation(RAG), Prompt Engineering, Fine-Tuning-Machine Learning Concepts: Supervised and Unsupervised Learning, Ensemble Techniques, Tree-Based Gradient Boosting, Regression(Linear, Multiple and Mixed), Random Forest, Decision Trees, Support Vector Machine(SVM), Dimensionality Reduction using Principal Component Analysis(PCA), Clustering, Natural Language Processing, Text Analysis, and Artificial Neural Networks (ANN)-Big Data: Azure, Hadoop, Spark What comes next? Application! Application of these concepts and ideas that I\'ve learned in school and through my professional experience. As an engineer, I\'d like to leverage my education and skills to build a better tomorrow for myself and the world!

Experience

1. Data Scientist

   Calamos Investments

   Feb 2023 — Present · Chicago, IL, US

   Developed RAG architecture using LLMs for fast information retrieval from large volumes of financial text.• Developed an internal knowledge base for information retrieval and knowledge management across the firm. • Refined Due Diligence Questionnaire (DDQ) libraries using Cosine Similarity on LLM based embeddings.• Developed speech-to-text framework using OpenAI Whisper to transcribe financial audio clips from thought leaders.• Collaborated with cross-functional teams to implement Generative AI solutions.

Education

• University of Mumbai

  Bachelor of Engineering - BE, Mechanical Engineering

  2011 — 2015

• University of Illinois Chicago

  Master of Science (MS), Industrial Engineering

  2016 — 2018