Machine Learning Data Science

RAMYA RANGARAJU

DALLAS, TX • +1-940-****-***• *****************@*****.***

Data Science Engineer skilled in Python, SQL, Tableau, and cloud tools (AWS, GCP), with hands-on experience in machine learning, multimodal analytics, and data-driven product development. Proven track record in optimizing pipelines, automating reports, and building AI/ML models that improve decision-making and operational efficiency. Seeking opportunities to develop scalable data products and drive business impact through statistical rigor and engineering excellence. EDUCATION

UNIVERSITY OF NORTH TEXAS, DENTON, TX Aug 2023 – May 2025 Master of Science in Data Science

Relevant Coursework: Data Modeling, Software Engineering, Machine Learning, Cybersecurity, Data Analytics, Large-Scale Data Visualization.

SKILLS

Languages: Python, R, SQL, Shell Scripting, Bash

Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Tableau, Power BI, Excel, Plotly Machine Learning & NLP: Scikit-learn, BERT, CLIP, Wav2Vec2, TCAV, TensorFlow, PyTorch, Keras, XGBoost, LightGBM, NLTK, spaCy, Transformers (HuggingFace)

Cloud & Big Data: AWS (S3, Lambda, SageMaker), GCP (BigQuery, Vertex AI), Azure ML, Apache Spark, Hadoop, Databricks

Databases: MySQL, PostgreSQL, MongoDB, SQLite

Tools: Jupyter Notebook, Git, GitHub, VS Code, Postman, Pytest, Docker, MLflow, DVC, Airflow Workflow & Agile: Jira, Trello, Agile (Scrum), SDLC PROFESSIONAL EXPERIENCE

COGNIZANT Nov 2021 - Jun 2023

Data Analyst

• Analyzed autonomous vehicle data using Python, SQL, and Tableau to detect anomalies and optimize fleet operations

• Automated reporting workflows with Apache Airflow, reducing manual effort by 40%.

• Developed interactive dashboards to track KPIs (safety, ride disruptions), improving stakeholder visibility.

• Supported A/B testing and geospatial analysis, leading to a 15% increase in trip efficiency.

• Ensured data quality and collaborated in cross-functional Agile teams for faster product iteration.

• Built predictive models using scikit-learn to identify vehicle fault likelihood, improving preventative maintenance scheduling by 18%.

• Implemented data validation scripts to flag telemetry anomalies in near real-time, reducing data processing lag by 25%.

• Led a cross-functional data QA task force that resolved 100+ schema issues, enhancing the accuracy of fleet analytics and executive reporting.

PROJECTS

Multimodal AI for Toxicity Detection Feb 2025 – Apr 2025

• Built AI models (BERT, CLIP, Wav2Vec2) to detect and rewrite toxic content across text, image, and speech.

• Evaluated outputs with BERTScore, BLEU, and TCAV; implemented fairness checks and visual dashboards. StrikerStats – Sports Analytics Platform Sep 2024 – Dec 2024

• Designed a scalable MySQL-based system to track real-time soccer stats (players, matches, performance).

• Integrated role-based access, advanced SQL queries, and dashboard visualizations for end-users CERTIFICATIONS

• IBM Machine Learning Professional Certificate

• Generative AI Essentials and Prompt Engineering for ChatGPT (Coursera)

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