Hi, I'm Ajaychary — a Data Science graduate passionate about building real-time analytics solutions, intelligent applications, and impactful visualizations. I specialize in machine learning, data engineering, and full-stack development. My projects span from brain tumor diagnosis using deep learning and real-time clickstream analysis with Kafka & Spark, to an end-to-end SAP procurement analytics pipeline and Clinlytix360, a clinical outcomes platform combining survival analysis and psychometrics. I also create dynamic D3.js dashboards and develop NLP models for tasks like fake news detection. I thrive on turning data into clear, actionable insights and creating tools that solve real-world problems.
I’m Ajaychary Kandukuri, a Data Science graduate from Kent State University with a passion for transforming data into intelligent, real-world solutions. I specialize in real-time analytics, machine learning, and full-stack development — combining technical precision with creative problem-solving.
My work spans deep learning models for brain tumor detection, real-time clickstream analytics pipelines with Kafka and Spark, SAP-style procurement forecasting solutions, and Clinlytix360, an end-to-end clinical analytics platform integrating survival analysis and psychometric evaluation. I also create dynamic D3.js dashboards and NLP-driven applications like fake news classification.
I approach every project with a hands-on mindset, designing scalable systems that are both insightful and impactful. Whether it’s forecasting supplier spend, modeling patient outcomes, or visualizing complex trends, I enjoy building tools that deliver value to users and organizations.
I believe great data science is not just about algorithms — it's about making data accessible, understandable, and actionable. That’s why I focus on storytelling through visualizations and developing user-centric products that bring insights to life.
I’m currently seeking opportunities to contribute to innovative, data-driven teams, grow as a professional, and solve meaningful challenges through data.
Visakhapatnam, India | Jan 2023 – Apr 2023
I hold a Master’s in Data Science from Kent State University with hands-on experience across the data lifecycle. I’ve led end-to-end projects — from real-time clickstream analytics using Kafka and Spark, to brain tumor classification with deep learning, SAP procurement forecasting pipelines, and Clinlytix360, a clinical analytics platform integrating survival analysis and psychometrics.
My expertise spans real-time data pipelines, predictive modeling, NLP, time series forecasting, anomaly detection, cloud platforms, and intuitive front-end visualizations. I enjoy solving real-world problems by combining data engineering, machine learning, and clear data storytelling.
You can download my resume below:
Download ResumeIf you'd like to collaborate or discuss data — feel free to reach out.