Ashwitha Reddy — Machine Learning Engineer
I am an Artificial Intelligence and Machine Learning student at St. Peter’s Engineering College (JNTU-H) with a strong interest in developing practical machine learning solutions and data-driven applications. My work focuses on designing, training, and deploying machine learning models that transform data into actionable insights and intelligent systems. I have hands-on experience across the end-to-end machine learning workflow, including data preprocessing, feature engineering, model development, evaluation, and deployment. During my AI/ML internship with the TechSaksham initiative (SAP, Microsoft, AICTE, and Edunet Foundation), I developed and deployed image classification models using Python and machine learning frameworks, gaining practical experience with real-world ML pipelines. My projects demonstrate the ability to translate machine learning concepts into functional applications. I developed a Spam Email Detection system using NLP and Scikit-learn that achieved 96.77% accuracy and 100% precision, and an Image Classification application built with TensorFlow and MobileNetV2 that enables users to upload and classify images through a deployed Streamlit interface. Technically, I work with Python, Java, and advanced SQL, along with tools and frameworks such as TensorFlow, Scikit-learn, Pandas, NumPy, Git/GitHub, MySQL, Jupyter Notebook, and Google Colab. My interests include Natural Language Processing, supervised and unsupervised learning, and deep learning techniques such as CNNs. I also maintain strong analytical and problem-solving skills, demonstrated through Gold (5-star) badges in both Java and SQL on HackerRank. I am interested in opportunities where I can apply machine learning and data analysis to build scalable AI-driven solutions and intelligent applications.
Stackforce AI infers this person is a Machine Learning enthusiast with practical experience in AI-driven applications.
Location: Dundigal Gandimaisamma, Telangana, India
Experience: 0 mo
Skills
- Data Analysis
- Leadership
- Machine Learning
Career Highlights
- Developed image classification models with high accuracy.
- Hands-on experience in end-to-end machine learning workflows.
- Strong analytical skills demonstrated through coding challenges.
Work Experience
Infosys Springboard
Artificial Intelligence Intern (3 mos)
Independent Project (Documented on GitHub)
SQL (3 mos)
Tamizhan Skills
Intern machine learning in AI (1 mo)
Infosys Springboard
Artificial Intelligence (5 mos)
SAP, Microsoft,AICTE,edunet
AI: Transformative Learning with TechSaksham (1 mo)
Scaler School of Technology
Technology (3 mos)
Education
Bachelor of Technology at St.Peter's Engineering College
at Scaler School of Technology