MD SAIF ALI

As a Lead Data Scientist at Altimetrik India Pvt. Ltd. In Bangalore since June 2021, I have spearheaded several key projects. For NatureSweet, I developed an AI-driven platform integrating data from NOS Quality, NOS Planning, and Weather Stations to provide 6-week yield forecasts, enhancing manufacturing and planning accuracy. At PayPal, I led the end-to-end development and deployment of a classification model, ensuring continuous monitoring, and prompt issue resolution. Additionally, I created a Multi-PDF Chat AI App using LangChain, Google Gemini Pro, FAISS Vector DB, and Streamlit, enabling seamless interaction with multiple PDFs, and delivering instant, accurate responses powered by Google's open-source language model.

At Emxcel, I led the end-to-end development of a Customer Segmentation System using K-Means clustering, a machine learning algorithm that groups customers based on shared characteristics. By analyzing customer data, such as purchase history and demographics, we identified distinct segments, enabling the delivery of personalized marketing strategies and targeted offers, thereby enhancing customer engagement and satisfaction.

At Wipro Technologies, an Indian multinational corporation offering IT, consulting, and business process services, I contributed to Uber's Self-Driving Classifier project. Leveraging deep learning, machine learning, image processing, and Lidar systems, I transformed business requirements into analytical models, designed data mining algorithms, and developed scalable solutions for large datasets. I managed the complete data science project lifecycle, including data collection, preprocessing, feature engineering, model building, and validation. I built and optimized machine learning models—regression, classification, and clustering—using advanced feature engineering techniques like selection, dimensionality reduction, and scaling, resulting in accurate predictions and improved business outcomes.