Dear Hiring Manager, I am writing to express my interest in an IT Internship opportunity within your organization.
Dear Hiring Manager,
I am writing to express my interest in an IT Internship opportunity within your organization. I hold a Bachelor’s degree in Computer Applications and am currently pursuing a Master’s in Predictive Analytics at Curtin University, which is further strengthening my expertise in data-driven problem solving, programming, and advanced analytical techniques.
Through my academic and professional journey, I have developed strong skills in software development, machine learning, and web technologies. I have hands-on experience with Python, Java, C++, and C#, along with frameworks such as .NET, MVC architecture, and tools like Git for version control. My practical exposure also includes work in web development, robotic process automation, and data science through internships, where I contributed to real-world projects and collaborative teams.
One of my key academic projects includes a research paper on “Loan Default Prediction Using Machine Learning,” which was presented at the ICRITO Conference 2024. This experience enhanced my ability to work with complex datasets, apply machine learning models, and communicate technical findings effectively.
In addition, I have built web-based applications and worked on UI/UX-focused projects, allowing me to develop both front-end and back-end development skills. My exposure to APIs and agile development practices has prepared me to adapt quickly to professional environments and contribute effectively to team objectives.
I am particularly drawn to this internship as it offers an opportunity to apply my technical knowledge in a practical setting while continuing to grow in areas such as software engineering and predictive analytics. I am motivated, detail-oriented, and eager to contribute to impactful projects while learning from experienced professionals.
I would appreciate the opportunity to further discuss how my skills and academic background align with your team’s requirements. Thank you for your time and consideration.
Kind regards,
Natasha Robinson
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Engineered an AI-powered FastAPI backend for real-time, cross-chain transaction optimization across major EVM networks.
Integrated Web3.py and CoinGecko API for live gas/token data, enabling precise USD cost estimations.
Utilized Google Gemini API to provide transparent, natural language explanations for routing recommendations.
Built an intuitive Streamlit dashboard for visualizing real-time blockchain metrics and recommendations.
A python based project, published at the 2024 ICRITO Conference. This program uses machine learning to predict the defaulter score of a loan applier, on the basis of all the features traditional banks take into account ss well as provide valuable insights on the same.
A dual CRM platform for dieticians and their customers to handle weekly diet plans, track daily progress and have interoperability between all the pages and features.
Mango is a personal finance assistant that keeps a full user profile including - your income, savings, investments, debts and a complete financial overview as well as provides AI insights like budget anomaly detection and AI budget optimizer. It can also create multiple groups for managing group expenses, give a financial report of all of your expenses and also has specialized planners for all budgeting needs along with an AI chatbot. The entire project was made using - React.js, JavaScript, HTML, CSS, MySOL, Firebase, Firestore, Machine Learning.
Spearheaded the complete product lifecycle from concept to launch for Mango, a personal finance web application. Engineered a robust full-stack MVP using cutting-edge React.js, JavaScript, and Firebase. Successfully delivered a market-ready solution that establishes a scalable foundation.
Spearheaded the complete product lifecycle from concept to launch for Mango, a personal finance web application. Engineered a robust full-stack MVP using React.js, JavaScript, and Firebase. Successfully delivered a market-ready solution that establishes a scalable foundation.
Engineered an AI-powered FastAPI backend for real-time, cross-chain transaction optimization across major EVM networks. Integrated Web3.py and CoinGecko API for live gas/token data, enabling precise USD cost estimations. Utilized Google Gemini API to provide transparent, natural language explanations for routing recommendations. Built an intuitive Streamlit dashboard for visualizing real-time blockchain metrics and recommendations.
Post a job and invite Natasha, or contact them directly. No hidden commission.
