About
Highly motivated Computer Science graduate with over a year of hands-on experience in Machine Learning, specializing in Python, Scikit-learn, and TensorFlow. Proven ability to develop and deploy high-accuracy models, achieving up to 95% in NLP and regression tasks, and proficient in REST APIs, data preprocessing, and Agile methodologies. Seeking an entry-level Machine Learning Engineer role to leverage expertise in delivering innovative, data-driven solutions and contribute to cutting-edge projects.
Work
Virtual, Global, US
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Summary
Analyzed and visualized complex datasets for client scenarios, delivering data-driven insights and structured data workflows.
Highlights
Cleaned and modeled datasets using Excel and Power BI, creating dashboards for 5+ client scenarios.
Delivered data-driven insights through visualizations, improving decision-making by 15% in simulated client presentations.
Built data pipelines for 1,000+ records, ensuring data integrity and consistency.
Presented insights to a virtual team of 6, receiving 90% positive feedback for clarity and impact.
Remote, Global, US
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Summary
Developed a secure command-line ATM interface and optimized Python scripts, enhancing system reliability and performance.
Highlights
Built a command-line ATM interface using Python and Git in VS Code, implementing secure PIN validation and error handling.
Streamlined code logic for balance checks and transactions, supporting 100+ test cases with 98% pass rate.
Debugged Python scripts to optimize performance, reducing runtime errors by 20%.
Remote, Global, US
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Summary
Developed and deployed a fake news detection system, leveraging machine learning techniques and Agile workflows to enhance real-world news classification.
Highlights
Developed a Fake News Detection system using Logistic Regression and TF-IDF vectorization, achieving 95% accuracy with Scikit-learn and NLTK (Python).
Optimized NLP performance by 10% through hyperparameter tuning, text preprocessing, feature engineering, and model evaluation.
Implemented cross-validation techniques, improving model robustness on a 10,000+ record dataset.
Designed data pipelines for 5,000+ text entries, reducing processing time by 15%.
Collaborated in an Agile team of 4 to deploy models via REST APIs, enhancing real-world news classification.
Volunteer
Jyothishmathi Institute of Technology Sciences
|Student Leader & Mentor
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Summary
Led technical events and mentored peers, fostering machine learning and career growth within the student community.
Highlights
Organized 3 virtual technical events for 100+ attendees, promoting machine learning concepts and career development.
Mentored 15+ peers in online ML communities, guiding Python and Scikit-learn project development and fostering collaborative learning.
Languages
English
Skills
Programming
Python, C, SQL.
Machine Learning
Scikit-learn, TensorFlow, Keras, PyTorch, NLTK.
Data Science
Pandas, NumPy, Matplotlib, Seaborn, Feature Engineering.
ML Concepts
Supervised Learning, Unsupervised Learning, CNNs, RNN, NLP, Regression, Classification.
Tools
Jupyter Notebook, Git, VS Code, Power BI, REST APIs.
Soft Skills
Problem-Solving, Team Collaboration, Communication, Time Management.