Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a motivated data scientist and AI engineer with a strong background in analytics and applied mathematics. I excel in developing predictive models, optimizing machine learning pipelines, and applying advanced techniques like transformer models, reinforcement learning, and time-series forecasting. Throughout my academic and internship experiences, I've successfully delivered scalable data solutions that drive operational improvements and business insights. My passion lies in transforming complex data into actionable intelligence using state-of-the-art AI and machine learning frameworks. I enjoy collaborating with cross-functional teams and effectively communicating technical results to align with real-world applications and stakeholder goals.…I am a motivated data scientist and AI engineer with a strong background in analytics and applied mathematics. I excel in developing predictive models, optimizing machine learning pipelines, and applying advanced techniques like transformer models, reinforcement learning, and time-series forecasting. Throughout my academic and internship experiences, I've successfully delivered scalable data solutions that drive operational improvements and business insights. My passion lies in transforming complex data into actionable intelligence using state-of-the-art AI and machine learning frameworks. I enjoy collaborating with cross-functional teams and effectively communicating technical results to align with real-world applications and stakeholder goals.

Emily Qiu

Data Scientist, AI Engineer, Developer, +1





I am a motivated data scientist and AI engineer with a strong background in analytics and applied mathematics. I excel in developing predictive models, optimizing machine learning pipelines, and applying advanced techniques like transformer models, reinforcement learning, and time-series forecasting. Throughout my academic and internship experiences, I've successfully delivered scalable data solutions that drive operational improvements and business insights. My passion lies in transforming complex data into actionable intelligence using state-of-the-art AI and machine learning frameworks. I enjoy collaborating with cross-functional teams and effectively communicating technical results to align with real-world applications and stakeholder goals.…I am a motivated data scientist and AI engineer with a strong background in analytics and applied mathematics. I excel in developing predictive models, optimizing machine learning pipelines, and applying advanced techniques like transformer models, reinforcement learning, and time-series forecasting. Throughout my academic and internship experiences, I've successfully delivered scalable data solutions that drive operational improvements and business insights. My passion lies in transforming complex data into actionable intelligence using state-of-the-art AI and machine learning frameworks. I enjoy collaborating with cross-functional teams and effectively communicating technical results to align with real-world applications and stakeholder goals.

Available to hire

I am a motivated data scientist and AI engineer with a strong background in analytics and applied mathematics. I excel in developing predictive models, optimizing machine learning pipelines, and applying advanced techniques like transformer models, reinforcement learning, and time-series forecasting. Throughout my academic and internship experiences, I’ve successfully delivered scalable data solutions that drive operational improvements and business insights.

My passion lies in transforming complex data into actionable intelligence using state-of-the-art AI and machine learning frameworks. I enjoy collaborating with cross-functional teams and effectively communicating technical results to align with real-world applications and stakeholder goals.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Spanish; Castilian

Intermediate

Work Experience

Data Science Intern - Energy Optimization at Zipline International Inc.

August 31, 2025 - August 27, 2025

Developed and automated data pipelines using HIVE-SQL to migrate and transform over 10 million telemetry records. Applied anomaly detection methods such as K-means, GMM, and Isolation Forest for exploratory flight and energy consumption pattern recognition, collaborating with operations and engineering teams for improvements. Built and optimized predictive models (LightGBM, XGBoost) forecasting drone battery consumption with telemetry data from more than 3 million flight hours, achieving a 40% accuracy improvement and a 35% reduction in unnecessary battery deployments via Bayesian optimization.

Capstone Intern - Recommendation System at University of California, Berkeley

May 1, 2025 - August 27, 2025

Designed a three-stage recommendation pipeline involving candidate generation using influencer similarity (TF-IDF, KNN), engagement prediction via LightGBM integrated with sentiment features, and semantic re-ranking using SBERT+FAISS. Developed a hybrid relevance scoring framework boosting recommendation precision@5 by 31% and recall@10 by 87%, enhancing product matching relevance. Delivered a fully interactive and scalable Streamlit tool for real-time exploration and brand-aligned recommendations, presenting findings to both academic and industry stakeholders.

Machine Learning Intern - Satellite Super-Resolution at SENSE Earth Observation CDT

August 31, 2023 - August 27, 2025

Engineered a multi-pipeline system to enhance Sentinel-1 SAR imagery resolution from 10m to 5m by simulating lower-resolution inputs and fusing multispectral and OpenStreetMap data. Evaluated tree-based regressors (RF, GBDT) and refined an EDSRx2 model with transfer learning. Achieved 20% improvement in visual clarity over bilinear baselines and 15% error reduction in terrain-imbalanced regions, facilitating accurate terrain interpretation, while independently aligning with sponsor objectives. Implemented entropy-aligned simulation, PCA-based dimensionality reduction, and oversampling techniques (SMOTE, weighted k-NN) to mitigate data imbalance.

Capstone Intern - Airline Waste Forecasting at Discover Airlines

June 30, 2023 - August 27, 2025

Preprocessed and analyzed historical flight and meal data to benchmark forecasting models (SARIMA, LSTM, logistic regression) identifying demand patterns. Enhanced short-term forecast accuracy by 18% MAE and 14% MAPE through kernel smoothing. Projected a 25% reduction in cabin waste and 20% CO₂ emissions, achieving $4 billion in savings. Awarded the Edinburgh Award for Environmental Innovation. Built end-to-end evaluation and deployment pipelines on Azure with automated data ingestion and monitoring dashboards in Tableau, enabling real-time alerts and scalable operations.

Data Science Intern - Investment Analytics at China Merchants Securities Capital Co., Ltd. (CMS)

August 31, 2021 - August 27, 2025

Automated ETL pipelines processing over 10,000 financial records spanning logistics, healthcare, and battery sectors, enhancing preprocessing efficiency by 30%. Used PCA and DBSCAN for clustering and outlier detection to improve model feature understanding. Applied ensemble methods (XGBoost, CatBoost, Random Forest) to classify return potential, boosting ROC-AUC by 11% and F2 score by 13%, informing senior investment portfolio strategies. Improved click-through rate by 22% through A/B testing of a peer benchmarking feature and created Power BI dashboards visualizing sector KPIs fostering stakeholder engagement.