Bhawna Yadav Email & Phone Number

Delhi, India

Noida, Uttar Pradesh, India

Lucknow, Uttar Pradesh, India

• Developed scalable databases using PostgreSQL, optimizing data storage and query response times by 20% for enhanced data management efficiency.- Designed and deployed automated data pipelines using Python, Shell.
• Proactively troubleshot pipeline breakdowns by implementing monitoring tools and logging mechanisms and minimizing downtime.
• Managed YAML configuration files for efficient deployment and scalability, integrating RESTful APIs for external access and data retrieval.- Trained machine learning models with scikit-learn and TensorFlow/Keras to.
• Collaborated with front-end teams to optimize website functionality and enhance the user experience

New Delhi, Delhi, India

• Curated 25+ datasets from the GEO repository, leveraging Python for feature engineering and exploratory data analysis. Utilized Pandas, Seaborn, and Matplotlib for data visualization.
• Developed machine learning models using scikit-learn, applying clustering algorithms and classifiers for cell type classification, along withdimensionality reduction techniques (PCA, UMAP, t-SNE) for improved data.
• Applied advanced NLP techniques like named entity recognition and word embeddings for precise cell ontology assignments, integrating results into theElucidata Polly platform.
• Enhanced team collaboration and workflow efficiency using JIRA for project management and task tracking

New Delhi Area, India

• Collaborated with MD student on diagnostic serum data analysis, ensuring data accuracy and implementing automated quality control.
• Digitised and integrated results, enabling streamlined data reporting and visualization through tools like Excel and Power BI.
• Conducted statistical analysis using R to derive meaningful insights and support data-driven decision-making in research.

Master Of Science - Ms, Genetics, 8.5

Thesis- Expression analysis of miRNA-21 and miRNA-22 in ovarian cancer

Bachelor Of Science - Bs, Biomedical Sciences(Hons), 8.81