Bhavya Samhitha Mallineni - Resume

Bhavya Samhitha Mallineni

Los Angeles, California

Email: mallinen@usc.edu

Phone: +1-949-547-0409

LinkedIn | GitHub | Portfolio

Professional Summary

Data Scientist with over 2 years of experience in deploying scalable ML models and analyzing structured/unstructured data. Proven ability to create end-to-end AI solutions, optimize pipelines, and deliver insights using Python, SQL, and cloud platforms like GCP. Passionate about applying data science in creative, operational, and strategic contexts.

Education

University of Southern California

Master of Science, Electrical Engineering (GPA: 3.77/4.0) — Aug 2023 - May 2025

Coursework: Mathematical Optimization, Digital Image Processing, Machine Learning, Deep Learning, Probability, Linear Algebra

Vasavi College of Engineering (Osmania University)

Bachelor of Engineering, Electronics & Communication (GPA: 3.58/4.0) — Jul 2017 - May 2021

Skills

  • Languages: Python, C++, R, SQL, Scala
  • ML & AI: TensorFlow, PyTorch, XGBoost, Transformers, LLMs, NLP, Prompt Engineering
  • Visualization: Power BI, Tableau, Matplotlib, Seaborn
  • Cloud & Big Data: GCP, AWS, BigQuery, Databricks, Snowflake
  • Tools & Frameworks: Streamlit, Docker, Kubernetes, Git, FastAPI, Apache Spark, Vertex AI, MLflow
  • Other: A/B Testing, Time Series, CI/CD, Causal Inference, ETL, Production Support

Work Experience

USC Transportation – Data Scientist

Sep 2024 - May 2025, Los Angeles, CA

  • Optimized shuttle routes using Power BI and DAX, cutting delays by 30%.
  • Forecasted peak-time demand using time-series analysis, improving punctuality by 20%.
  • Automated dispatch and registration using SQL rule engines and Excel macros.
  • Defined KPIs and built real-time dashboards to enhance operational decisions by 25%.

Radical X – Artificial Intelligence Engineer Intern

May 2024 - Aug 2024, New York, NY (Remote)

  • Built Generative AI-powered grading tools using Vertex AI, LangChain & Streamlit with 89.6% accuracy.
  • Deployed scalable NLP pipelines using prompt engineering and containerized GCP solutions.
  • Reduced latency by 20% by optimizing Dockerized services for inference.

Deloitte USI Consulting – Analyst (Data Science Specialist)

Sep 2021 - Jul 2023, Hyderabad, India

  • Built ETL pipelines using BigQuery & Dataflow for ML readiness with 100% accuracy.
  • Developed handwriting recognition system with 87% accuracy using GCP AI APIs.
  • Forecasted offer acceptances (81% accuracy) using logistic regression & XGBoost.
  • Automated validation and QA workflows using advanced SQL, improving efficiency by 20%.
  • Conducted A/B testing and integrated Power BI dashboards with Flask APIs to reduce decision lag by 30%.
  • Earned 2 Deloitte Performance Awards for predictive analytics and automation impact.

Project Experience

Real-Time USC Shuttle Optimization

Sep 2024 - May 2025

  • Forecasted shuttle demand and optimized capacity management using SQL and Python.
  • Automated scheduling logic and built dynamic Power BI dashboards.

Credit Card Fraud Detection

Nov 2024 - Dec 2024

  • Developed XGBoost and LightGBM models with 96.9% AUC for transaction fraud detection.
  • Engineered robust features and performed hyperparameter tuning using cross-validation.

American Sign Language Recognition

Nov 2023 - Dec 2023

  • Built real-time ASL to speech system using PyTorch and OpenCV, achieving 97.3% accuracy.
  • Trained ResNet-50 on hand gesture datasets and deployed a speech output module.

Churn Prediction Pipeline

Sep 2024 - Oct 2024

  • Created RFM-based segmentation and churn models using XGBoost (84% accuracy, 0.88 AUC).
  • Visualized retention insights using SHAP and Power BI dashboards.