Vinith Kumar Guntupalli

Overall, 5+ years of experience in Data Science and Big Data in the Business Industry with adept knowledge of Data Analytics, Machine Learning (ML), and Predictive Modeling. Machine Learning and Computer Vision expert with experience in image processing and analysis. Proven track record in developing and optimizing computer vision algorithms and ML models. Skilled in refining ML models to improve accuracy and collaborating with cross-functional teams to integrate AI/ML features into applications. Specialized in Text Analytics, developing Statistical Machine Learning and Data Mining solutions using R, Python, and Tableau. Proficient in Data Analytics, including Data Reporting, Ad-hoc Reporting, and OLAP reporting. Strong command over SQL, with experience in RDBMS (e.g., MySQL) and NoSQL databases (e.g., MongoDB). Skilled in using Spark MLlib utilities for machine learning tasks and various visualization tools like Tableau, SAS, QlikView, and Microsoft BI. Expertise in operations research techniques, mathematical programming, heuristic algorithms, and stochastic modeling. Hands-on experience in designing optimization models using Python and relevant packages such as PuLP, PYOMO, and CVXPY, with proficiency in CPLEX. Well-versed in TR components and NESS requirements into scalable analytical models, working with Hadoop ecosystem components, and designing captivating visualizations using Tableau. Knowledgeable in various machine learning algorithms and techniques, including Reinforcement Learning, LDA, Naive Bayes, Random Forests, Decision Trees, Linear and Logistic Regression, SVM, Clustering, and neural networks.

Medical Image Analysis: Developed algorithms to enhance and analyze MRI and CT scan images. Object Detection System: Created a real-time object detection system using YOLO and TensorFlow. Image Segmentation Tool: Designed an image segmentation tool for satellite imagery using U-Net architecture.