"Data is the new oil, but like oil, it has to be refined to be valuable."
"In God we trust, all others must bring data."
Data Scientist & AI Specialist
Hello! I'm Maria Babu, a passionate Data Scientist with experience in analyzing complex datasets and deriving actionable insights. I have a strong background in statistics, machine learning, and data visualization. My expertise includes working with tools like Python, R, SQL, and various data visualization libraries. I enjoy solving challenging problems and making data-driven decisions to drive business growth. In my free time, I love exploring new technologies, reading about advancements in AI, and contributing to open-source projects.
Skills
Experience
Education
Certification
Advanced algorithms for predictive analytics and pattern recognition
Neural networks, CNN, RNN, and transformer architectures
Statistical analysis, data mining, and predictive modeling
Advanced programming for data analysis and ML implementation
Hadoop, Spark, and distributed computing frameworks
Computer vision, NLP, and automated decision systems
Shamgar Software Solution
Working on advanced ML algorithms and AI solutions for enterprise clients.
Cognifyz Technologies
Developed predictive models and performed data analysis for business insights.
Bharat Intern
Built machine learning models and created data visualization dashboards.
KKR & KSR Institute of Technology & Sciences, Vinjampadu
2022 - 2026
Palnadu Junior College, Macharla
2020 - 2022
Z.P Boys High School, Macharla
2018 - 2020
IBM
February 2025
IBM on Coursera
December 2, 2024
DeepLearning.AI on Coursera
October 30, 2024
Designing and training supervised, unsupervised, and reinforcement learning models. Developing algorithms for classification, regression, clustering, and recommendation systems with advanced feature engineering and model optimization.
Learn more →Analyzing structured and unstructured data to identify trends, patterns, and anomalies. Performing exploratory data analysis (EDA), statistical modeling, and delivering actionable insights to inform strategic business decisions.
Learn more →Building sophisticated neural network architectures including CNNs for computer vision, RNNs for sequence data, and transformers for NLP tasks. Specializing in transfer learning and model fine-tuning for optimal performance.
Learn more →Developing advanced NLP solutions including sentiment analysis, text classification, named entity recognition, and language translation. Creating chatbots, virtual assistants, and automated content analysis systems.
Learn more →Implementing image recognition, object detection, facial recognition, and medical image analysis systems. Developing real-time video processing and augmented reality applications using state-of-the-art CV techniques.
Learn more →Automating complex business processes with AI and machine learning. Creating intelligent recommendation engines, fraud detection systems, predictive maintenance solutions, and automated decision-making frameworks.
Learn more →