As a passionate advocate for data science and machine learning, I thrived as a Product Developer at Refractx, where I collaborated with the BiRD Laboratory on groundbreaking projects aimed at AI revolutionizing lens-related products. A standout achievement was my leadership in the Milk Fat Detection project. I took end-to-end responsibility from conceptualization to deployment. I leveraged my expertise in computer vision to develop a robust predictive model that significantly enhanced accuracy in milk fat detection. This involved conducting extensive data analysis and preprocessing to ensure high-quality input for the model, as well as implementing advanced algorithms to optimize performance, showcasing my commitment to data-driven solutions.■ Data Acquisition and Preprocessing: Collecting and cleaning a dataset of milk images.■Feature Engineering: Extracting relevant features from the images using techniques like edge detection, texture analysis, and color space transformations.■Model Development: Implementing and fine-tuning state-of-the-art deep learning models, such as Convolutional Neural Networks (CNNs), to accurately predict milk fat percentages.■Model Deployment: Integrating the model into a real-world application, potentially using a Raspberry Pi as a hardware platform.This project showcased my proficiency in data analysis, machine learning, and software development. It allowed me to apply my skills to address a real-world problem and deliver a tangible solution.

As a results-driven Data Analyst, I harness data insights to enhance business strategies and drive operational efficiencies. My analytical expertise and collaborative approach have led to significant improvements in data-driven decision-making and process optimization.■Increased reporting accuracy by 30% through the development of comprehensive dashboards that track key performance indicators (KPIs).■Conducted in-depth data analysis to identify trends and opportunities, resulting in a 15% increase in operational efficiency.■Performed market research on industry trends and competitor activities, providing insights that supported strategic initiatives and reduced costs by 10%.■Collaborated with cross-functional teams to gather and document business requirements, ensuring alignment with organizational goals for over 10 projects.■Implemented process improvement initiatives that eliminated bottlenecks, enhancing productivity and reducing turnaround times by 20%.

During my internship, I gained hands-on experience in data science and machine learning by successfully completing two impactful projects.> Developed a predictive analytics model using linear regression to estimate house prices, analyzing key variables such as square footage, number of bedrooms, and location to empower informed real estate decisions.> Implemented a machine learning model for wine quality prediction, utilizing data on chemical properties like acidity and alcohol content to establish correlations with quality ratings, enhancing insights into wine quality based on its chemical composition.

Driven by a passion for data-driven innovation, I embarked on a project that combined hardware and software components. I gained hands-on experience in:■ Electronics Engineering: Designing and implementing circuits, including MOSFET-based designs, and interfacing with microcontrollers like Raspberry Pi.■ Computer Science: Mastering Python programming, data analysis, and machine learning techniques, particularly in computer vision and deep learning.I successfully deployed a real-time machine learning model on a Raspberry Pi, demonstrating my ability to bridge the gap between theoretical concepts and practical applications.

Steered impactful technical initiatives as a key member of the Technical Affairs Council . Collaborated seamlessly with coordinators, faculty, and peers to drive innovative projects, events, and activities. Demonstrated strong leadership and communication skills, fostering a collaborative environment. Proficient in leveraging Microsoft Excel and PowerPoint to effectively convey complex ideas and insights. This experience cultivated a passion for technical innovation and a desire to contribute to cutting-edge technological advancements.