Jagannath Devarakonda Email & Phone Number

Passionate mathematics graduate with a keen analytical mind and expertise in statistical modeling and Python programming. Proficient in Numpy, Pandas, Matplotlib, and Scikit-Learn. Proven ability to apply mathematical concepts to solve complex problems and build predictive models. Actively seeking entry-level opportunities in data science to leverage my skills and contribute meaningfully to innovative projects. Committed to continuous learning and excited to make a positive impact in the dynamic field of data analytics.

• Machine Learning Online Intern

  Ineuron (View)

  Feb 2022 - Jan 2023

  Project Objective : Created a mouse categorization model using Decision Tree Classifier to differentiate between Trisomic and control groups.Tools & Methodologies: MongoDB, Decision Tree Classifier, Data Analysis, Data Validation, Data Transformation, Model Training, Model Evaluation, AWS Cloud Deployment.Outcome: Achieved 85% accuracy on the train set and 87% on the test set.Demonstrated expertise in data science, machine learning, and AWS cloud deployment.SkillsMachine Learning (ML) Development : Expertise in building and deploying AI models and systems, enhancing product capabilities.AI Infrastructure : Implementation of robust, scalable ML infrastructure, including data storage, processing, and model serving components.Feature Engineering : Development of novel feature engineering, data augmentation, prompt engineering, and fine-tuning frameworks for optimal model performance.Automated ML Pipelines : Design and implementation of automated pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation.Model Compression & Optimization : Advanced techniques to reduce the resource footprint of language models while maintaining performance.Programming Languages : Proficient in Python and ML libraries such as Scikit-Learn,etc.Data Analysis & Statistical Modeling : Strong skills in data analysis, statistical modeling, and quantitative analysis.Cloud Platforms : Experience with cloud platforms such as AWS and Google Cloud Platform for model deployment and infrastructure management.Software Development Lifecycle : Knowledge of the software development lifecycle and best practices in ML and AI development.