Machine Learning Engineer

Internship

As a Machine Learning Engineer Intern, I developed and deployed machine learning models to solve real-world problems, enhancing my skills in data preprocessing, model training, and evaluation. I collaborated with cross-functional teams to integrate machine learning solutions into existing systems, ensuring scalability and performance.

During my internship, I significantly boosted the accuracy of a predictive model by 15% through advanced feature engineering techniques and meticulous hyperparameter tuning. This improvement led to more impactful business insights and data-driven strategies. I developed predictive analytics solutions using models such as Decision Trees, Random Forests, and Support Vector Machines (SVM), which played a key role in enhancing operational decision-making. Additionally, I conducted exploratory data analysis (EDA) on a dataset of over 50,000 records, uncovering critical customer behavior trends that informed and optimized marketing strategies. To support data accuracy and integrity, I also crafted efficient SQL queries for data extraction and validation, ensuring the analysis was built on clean, reliable datasets.