Nil Beserler Email & Phone Number

San Diego, California, United States

Apply machine learning, deep learning, and generative AI techniques to analyze data patterns, create advanced models, and support business operations with actionable insights.Design and maintain robust data pipelines by collecting, cleaning, and aggregating data from diverse sources, ensuring accuracy and usability for analytics and reporting.Partner with stakeholders to translate business challenges into data solutions, delivering insights through visualizations and metrics to drive strategic decision-making.

Santa Monica, California, United States

Created interactive analytics dashboards by collaborating with Delete The Divide (DTD) Interns to quantify and share data on community impact, resulting in visually compelling and data-driven stories for stakeholders.Communicated with DTD Executives to understand key performance indicators and effectively leveraged data insights to the organization's mission, ensuring meaningful and actionable visual narratives that influenced decision-making.Utilized SQL and Excel-like functions to support data ingestion, modeling, preparation, and enrichment; applied Oracle AnalyticsCloud for machine learning models, leading to improved data-driven insights through Binary-Classifier, Clustering, Multi-Classifier, and Numeric Prediction models.

San Diego, California, United States

Guided and inspired students in data science and ML, covered topics such as supervised learning, deep learning, and reinforcement learning to foster a passion for learning and practical application.Designed and implemented a hands-on curriculum emphasizing real-world problem-solving with modern data science tools like Pandas, NumPy, and Matplotlib, as well as deep learning frameworks such as PyTorch and TensorFlow.Collaborated with a student to build a financial literacy chatbot using Flowise and LangChain, embedding text data with OpenAI embeddings and storing them in Pinecone for effective similarity searches, enhancing query response accuracy and user experience.

Los Angeles County, California, United States

Acquired practical skills in data science, machine learning, and artificial intelligence, including building data analysis pipelines, training and validating ML models, and gaining experience with common ML/AI libraries.Worked collaboratively in the AI Studio, tackled real-world challenges from leading companies, and created assets for my portfolio to demonstrate my capabilities in machine learning and AI.Developed authentic leadership and social capital through real-world case studies, skill-building simulations, and personalized feedback, positioning myself for a successful launch into an AI tech career.

Los Angeles, California, United States

Developed a predictive model that assesses the vulnerability of cellular towers to natural disasters across the United States. Utilized unsupervised learning and deep learning techniques, including k-means clustering and DBSCAN models, on historical datasets containing disaster records and cellular tower locations.Optimized data processing workflows and data pipelines for efficient analysis and quicker insights.Enhanced understanding of business implications of machine learning models, effectively communicated complex technical details to stakeholders in a digestible manner, highlighting strategic value.

San Diego, California, United States

Spearheaded advanced image recognizability research, quantified by successfully comparing CLIP, VGG19, and human metrics through complex dataset wrangling and data visualization; heatmap generation. Presented key findings to an audience of 20+ grad students.Conducted thorough literature reviews on computer vision models, fostering innovation, and leading feedback-driven meetings to drive progress in cross-functional teams.

San Diego, California, United States

Contributed to research on visual representations and conceptual categories, and achieved a 10% reduction in storage consumption through data wrangling and optimization, leading to significant resource savings.Elevated research rigor by pre-registering experimental protocols, while designing and implementing behavioral experiments in web browsers to advance ongoing research in collaboration with team members.

San Diego, California, United States

Developed‬‭ front-end and back-end‬‭ components for a‬‭ college-oriented chore management app, managed and defined 50+ product‬ requirements, ensuring‬‭ 100% alignment‬‭ with user needs‬‭ across‬‭ 6 development sprints.‬‭Innovated wireframes, conducted rigorous A/B tests, and leveraged‬‭ data-driven decisions‬‭ to enhance app functionality and user‬ experience.

İzmir, Turkey

Undergraduate Degree, Cognitive Science With Specialization In Machine Learning And Neural Computation

High School Diploma