Data Science Engineer - ML & NLP Specialist

Asmita Chetlapalli

Boston, MA *****************@*****.*** asmitachetlapalli asmitachetlapalli +1-857-***-**** EDUCATION

Northeastern University Boston, MA

Master of Science in Data Science GPA: 3.6/4.0 Sep 2024 – May 2026 Relevant Coursework: Data Mining, Algorithms, Supervised ML, NLP, DBMS, Cloud Computing MIT ADT University Pune, India

Bachelor of Technology in Information Technology GPA: 3.2/4.0 Aug 2019 – Jul 2023 PROJECTS

SepsisGuard: AI-Powered Clinical Decision Support System

• Built an end-to-end sepsis prediction system using XGBoost on the PhysioNet 2019 dataset (40K+ ICU patients), achieving AUROC 0.80 with a 6-hour prediction lead time, surpassing the clinical benchmark of 0.75.

• Designed a RAG pipeline embedding Surviving Sepsis Campaign 2021 guidelines into ChromaDB using sentence-transformers, enabling Google Gemini to generate evidence-grounded clinical recommendations at inference time.

• Engineered preprocessing pipeline handling severe class imbalance (1.16% positive rate) via scale_pos_weight; deployed a real-time Streamlit dashboard supporting single-patient assessment and batch CSV analysis. 3D Object Detection and Depth Estimation System

• Integrated YOLOv8 (94% precision, 94% mAP) with MiDaS depth estimation on 7K KITTI images to build a cost-effective monocular alternative to LiDAR for autonomous driving.

• Performed extensive data preprocessing and augmentation on the KITTI benchmark dataset, analyzing depth distribution patterns to inform model design decisions.

• Designed a custom depth transformation network converting relative depth to absolute measurements (~130m MSE), achieving 1-2m 3D localization accuracy via camera intrinsic matrix projection. LLM Preference Classification & Finetuning

• Built a pairwise classification model on 55K+ samples to predict human preference between LLM-generated responses, framing the task as a comparative ranking problem.

• Fine-tuned a cross-encoder model using Hugging Face Transformers, experimenting with multiple architectures and evaluating trade-offs in precision, recall, and inference speed.

• Discovered and mitigated positional bias through response-order augmentation and cross-encoding, improving model fairness and robustness for LLM evaluation and RLHF pipelines.

Let’s Connect - A Social Platform for Mental Health

• Identified a gap in accessible mental health support and built a full-stack peer support platform with real-time chat rooms, community groups, and resource sharing using Python/Django.

• Conducted exploratory data analysis on user interaction logs to identify conversation patterns, informing chatbot training data curation and intent dialogue structure.

• Trained a Rasa NLU chatbot with intent classification and entity recognition, achieving ~85% accuracy; evaluated performance through precision/recall analysis and iterative data refinement. TECHNICAL SKILLS

Programming Languages: Python, Java, C++, C#, R, SQL, HTML, CSS, JavaScript, XML Frameworks & Tools: Django, Angular, Spring Boot, WPF, Git, Postman, JUnit, Maven, VS Code, Android Studio, Git, Github, Jupyter lab Databases & Cloud: AWS, Azure, GCP, MySQL, MongoDB, SQLite, SQLServer Machine Learning & AI: Scikit-learn, XGBoost, Random Forest, Gradient Boosting, PyTorch, TensorFlow, Keras, CNNs, RNNs, Transformers, Feature Engineering, Model Evaluation, A/B Testing, Ensemble Methods Generative AI & NLP: BERT, GPT, Hugging Face, RAG, Prompt Engineering, NLTK, spaCy, Rasa NLU, Text Classification, Sentiment Analysis, NER, Topic Modeling

Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Tableau, Power BI, Excel EXPERIENCE

Capgemini Mumbai, India

Technical Analyst Dec 2023 – Aug 2024

• Engineered a full-stack recruitment platform using Java, Spring Framework, Hibernate, JWT, Mockito, Angular, and MongoDB, enabling end- to-end job posting, applicant tracking, and candidate qualification workflows.

• Automated recruiter processes, reducing average candidate management time from ~1.5 hours to 15 minutes per candidate (~80% efficiency gain) by centralizing data and eliminating spreadsheet- and email-based coordination.

• Designed and deployed RESTful APIs for efficient data exchange between client and server, improving system reliability and maintainability. Pi Techniques Pvt. Ltd Pune, India

Software Developer Intern Feb 2023 – May 2023

• Built an offline shipment tracking module using WPF, C#, .NET, SQLite, and REST APIs, enabling reliable cargo and crew monitoring in low- connectivity environments.

• Developed interactive dashboards visualizing delivery times, routes, and cargo status, providing real-time insights for logistics decision- making.

• Implemented robust local data workflows with automatic synchronization, reducing manual tracking effort and improving operational efficiency.

Navsoftech Solutions Pune, India

Web Developer Intern Nov 2021 – Jan 2022

• Developed UI features for a college educational platform, enabling students to manage courses and access personalized dashboards.

• Built and integrated secure login and authentication using Django (Python), connecting frontend interfaces to backend logic for seamless student access.

CERTIFICATIONS

Google Data Analytics Professional Certificate, AWS Intermediate Certificate, AWS Cloud Foundations, MS Certified: Azure Fundamentals

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