Prachi Jirimali Email & Phone Number

Marysville, OH, US

• Spearheaded the development and deployment of advanced machine learning algorithms, including Random Forest, XGBoost, and Logistic Regression, achieving a 15% uplift in customer retention rates through predictive.
• Architected and implemented robust data pipelines leveraging AWS services (S3, SageMaker, Lambda) and Databricks, accelerating data processing efficiency by 30%.
• Conducted comprehensive analyses of high-volume datasets utilizing Python libraries such as Pandas, NumPy, and SciPy, uncovering critical insights that drove data-informed strategic decisions.
• Designed and delivered interactive dashboards and analytical reports using Tableau, enhancing decision-making efficiency across cross- functional teams by 15%.
• Enhanced database performance by refining SQL queries and overseeing data management in PostgreSQL and Snowflake, realizing a 40% improvement in query execution speed.
• Integrated state-of-the-art NLP techniques with pre-trained models like BERT and GPT, leveraging the Transformers library to streamline NLU and NLG projects, boosting implementation efficiency.

• Developed and deployed machine learning models such as logistic regression, k-means clustering, and Naive Bayes, resulting in a 15% boost in fraud detection accuracy for financial data.
• Conducted comprehensive data analysis using SQL and R, providing critical insights that led to a 10% reduction in operational costs.
• Created and fine-tuned predictive models with Scikit-learn, TensorFlow, and Keras, improving sales forecasting accuracy by 18%.
• Designed and automated ETL workflows using Azure Data Factory, consolidating data from multiple sources (structured and unstructured) for seamless integration and analysis.
• Developed interactive and automated Power BI dashboards, streamlining reporting and cutting manual data analysis time by 45%, delivering real-time insights to business stakeholders.
• Engineered and deployed advanced classification algorithms like SVM and Naive Bayes, enhancing fraud detection accuracy and reducing fraudulent transactions by 25%.

Master'S Degree, Computer Science

Bachelor Of Engineering - Be, Computer Science, 8.11/10