Rajesh kumar Karra
Hyderabad
Summary
Energetic and dedicated Java Developer & Machine Learning Developer fresher with a B.Sc in Computer science and hands-on experience developing, training, and deploying AI models. Proficient in Java & Python and core ML/AI libraries, with strong foundation in data processing, feature engineering, and model evaluation. Demonstrated ability to translate theoretical concepts into real-world solutions through academic and personal projects using supervised and unsupervised learning, deep learning, and quantum optimization techniques.
Overview
1
1
Certification
Work History
Machine Learning Intern
Gradtwin Software Company
03.2025 - 06.2025
- Company Overview: https://gradtwin.com
- Gained hands-on experience in the end-to-end machine learning pipeline, including data collection, cleaning, and exploratory data analysis.
- Performed data cleaning, visualization, and inspection using Pandas, Seaborn, and Matplotlib to identify trends, outliers, and data quality issues.
- Applied feature engineering techniques such as encoding, scaling, binning, and feature selection to improve model accuracy and generalizability.
- Built and evaluated models using supervised learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and Gradient Boosting.
- Explored unsupervised learning techniques such as K-Means Clustering, Hierarchical Clustering, and PCA for dimensionality reduction and pattern recognition.
- Gained introductory exposure to reinforcement learning concepts, including agent-environment interactions and reward-based training.
- Collaborated in an agile team environment, using Git for version control and Jupyter Notebooks for project documentation and experimentation.
- Enhanced machine learning model accuracy by implementing advanced algorithms and feature engineering techniques.
- Supported teammates by sharing knowledge on best practices in machine learning development, fostering a collaborative work environment.
- Designed experiments to validate the effectiveness of various machine learning approaches in addressing project objectives.
- Optimized machine learning models using hyperparameter tuning, reducing training time and improving accuracy.
Education
Bachelor of Science - Computer Science, Physics and Mathematics
Osmania University
Hyderabad08.2024
Skills
- Knowledge in Core Java and Advanced Java, with practical knowledge of object-oriented programming, collections, exception handling, and multithreading
- Knowledge with J2EE technologies including JSP and Servlets, and building web applications using Spring Boot
- Skilled in database integration using JDBC and Oracle for backend development and data operations
- Strong proficiency in Python programming, with hands-on experience in data analysis, scripting, and automation using Pandas, NumPy, and Dask
- Solid understanding of machine learning algorithms such as regression, classification, clustering, and ensemble methods, with practical implementation using Scikit-learn
- Experienced in deep learning development using TensorFlow and Keras, with projects involving Convolutional Neural Networks (CNNs) for image recognition and LSTM models for sequence-based NLP tasks
- Skilled in data preprocessing and feature engineering, including handling missing values, encoding, scaling, dimensionality reduction, and creating meaningful input features
- Capable of building end-to-end ML pipelines with model tuning using cross-validation, grid/random search, and performance evaluation using metrics such as F1-score, AUC, and confusion matrix
- Familiar with Natural Language Processing (NLP) tasks such as sentiment analysis, tokenization, embedding (GloVe), and sequence modeling
- Academic experience in Quantum Computing using IBM Qiskit, with project-based exposure to formulating NP-complete problems (eg, TSP) for quantum solvers
- Comfortable with Linux environments, Git version control, and Jupyter Notebooks for collaborative and reproducible data science workflows
- Actively engaged in Kaggle competitions, GitHub contributions, and self-learning through certified online courses to stay updated with industry practices
Certification
- Intro to Machine Learning | Kaggle
- Python | Kaggle
- Pandas | Kaggle
- Data Visualization | Kaggle
- Data Cleaning | Kaggle
- Intro to Programming | Kaggle
Languages
English
Upper intermediate (B2)
German
Beginner (A1)
ADDITIONAL EXPERIENCE & ACTIVITIES
- Actively participate in Kaggle competitions to refine feature engineering and model tuning skills.
- Completed online tutorials on ML applications
Hobbies
Learn in public
up-skilling
Timeline
Machine Learning Intern
Gradtwin Software Company
03.2025 - 06.2025
Bachelor of Science - Computer Science, Physics and Mathematics
Osmania University
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