Data Science & ML Software Engineer Intern

KRISHA GOTI

Los Angeles, CA 213-***-**** ****@***.*** linkedin.com/in/krishagoti github.com/krishagoti02 krishagoti02.com/p EDUCATION

University of Southern California; Los Angeles, CA GPA: 3.8/4.0 Master of Science in Applied Data Science Dec 2026

• Relevant Coursework: Database Systems, Machine Learning, Data Mining, Foundation of Data Management MPSTME, NMIMS; Mumbai, India GPA: 3.8/4.0

Bachelor of Technology (Hons.) in Computer Engineering; Minor in Data Science & Analytics May 2024

• Relevant Coursework: Data Structures & Algorithms, OOP, SE, Robotic Process Automation, Web Technologies TECHNICAL SKILLS

Languages: Python, SQL, R, Java

Statistics & Experimentation: Statistical Modeling, Hypothesis Testing, A/B Testing, Feature Engineering, Time-Series Analysis, Predictive Analytics

Machine Learning: Scikit-learn, XGBoost, TensorFlow, PySpark, Recommendation System, Model Evaluation AI & NLP: NLP, TF-IDF, Cosine Similarity, LangChain, Computer Vision Data & Cloud: Pandas, NumPy, Cassandra, AWS Keyspaces, MongoDB, MySQL, Hadoop, ETL, Data Warehousing, Google Cloud, Splunk

Deployment & MLOps: FastAPI, Flask, Docker, Git, GitLab CI/CD, MLOps EXPERIENCE

Software Engineer Intern Overland Park, KS

T-Mobile May 2026 – Aug 2026

• Engineered a customer-risk scoring pipeline extracting 17 behavioral features from 5 production Cassandra tables and developed a rule-based weighted scoring model producing 0–100 risk scores across 4 risk tiers with 200ms 50 latency

• Derived a bill-shock metric from payment data using per-customer normalization and validated calculated values against known accounts, enabling reliable integration into the production risk-scoring pipeline

• Automated root-cause analysis by building an LLM-driven investigation agent across four production data sources, reducing investigation time from 4–60 minutes to 1–4 minutes per case with programmatic output validation Data Science Research Associate Los Angeles, CA

USC Human Performance Lab May 2025 - May 2026

• Developed injury prediction models using time-series analysis, statistical modeling, and feature extraction techniques on biomechanics datasets to identify athlete recovery patterns, performance risks, and movement asymmetries

• Automated clinical reporting pipelines using Pandas, Matplotlib and python-pptx, transforming biomechanics data into real-time visual insights and standardized reports, reducing analysis time by 70% for clinicians and researchers

• Performed statistical analysis on CMJ/DLDJ datasets using Pandas and NumPy, extracting peak-force metrics, asymmetry trends, and temporal features to support evidence-based rehabilitation decisions and athlete monitoring Software Engineering Intern Mumbai, India

Drishti Emergency Services (India) Pvt. Ltd. May 2023 - Sep 2023

• Built end-to-end ML pipelines for autonomous vehicle monitoring using Python, AWS, feature engineering, and predictive models, processing sensor data from 20+ vehicles and reducing operational failures by 35%

• Developed and deployed computer vision models using OpenCV, YOLO, and TensorFlow for emergency response systems, improving object detection accuracy and supporting safety initiatives across a $2M+ program

• Designed NLP-powered classification and search systems using vector embeddings, Pinecone Vector DB, and semantic retrieval techniques, improving document processing efficiency by 70% PROJECTS

Hybrid Recommendation System Python, PySpark, XGBoost, Machine Learning, Big Data Analytics Jan 2025

• Built a hybrid recommender system on Yelp data using PySpark, combining collaborative filtering, metadata features, cold-start handling, and XGBoost ensembles to achieve RMSE < 1.0. EcoSortNet: Smart Waste Classification TensorFlow, Keras, Scikit-learn, OpenCV May 2025

• Developed a 9-class image classifier using transfer learning (ResNet50, VGG16, EfficientNetB0), achieving 95% accuracy and a 12% performance gain validated through ROC-AUC analysis. LEADERSHIP & CERTIFICATIONS

• Leadership: Viterbi GSA Senator (500+ students), Viterbi Graduate Orientation Leader (1000+ students), AI/ML Bootcamp Mentor (15+ students) Certifications: Machine Learning: Classification, Python for DS, AI Development

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