Manjari Misra Email & Phone Number

India

Baltimore, Maryland, United States

Led an R&D initiative to integrate a chatbot into a C# web application for a certification system, leveraging Gen AI, LLM, and NLP technologies. Responsible for designing and implementing advanced algorithms to enhance user interactions, ensuring a seamless conversational experience.Implemented analytic support by employing data analysis and modeling techniques. Designing metrics, reports, and dashboards to provide quantitative data insights, enhancing the overall effectiveness.Collaborated with cross-functional teams to gather requirements, develop prototypes, and conduct user testing. Ensuring that the chatbot meets user needs and enhances the overall user experience of the certification system.

Gainesville, Florida, United States

Led the creation of an easy-to-use machine learning interface with Python, TensorFlow, and scikit-learn. This interface made project setup, dataset and model selection, and hardware configuration simple and user-friendly. The front end, built with React, provided a dynamic and responsive user experience.On the backend, I developed strong services in Python to ensure smooth communication between the front end and back end. I also used MongoDB for efficient data storage and retrieval. By integrating the HuggingFace API, I enabled distributed computing for ML tasks, boosting data processing speed by 40%.Collaboration was essential to this project. I worked closely with different teams to gather requirements, create prototypes, and conduct user testing. This ensured the final product met user needs and expectations. I followed best practices in software development, including code reviews, version control, and continuous integration, to maintain high code quality and project efficiency.

United States

Collaborated with the High-Performance Computing (HPC) research team to optimize the end-to-end data engineering workload pipeline. Used Python on Intel hardware (CPU/GPU) for enterprise use cases, focusing on enhancing performance and efficiency.Implemented supervised regressor/classifier models using Python data science and machine learning libraries. Conducted data preprocessing to enhance model performance and contributed to the development of tools for data analysis and modeling.Utilized the Intel oneAPI toolkit for XGBoost modeling, achieving significant efficiency improvements (3x and 6x) in both ETL and Training phases. Leveraged parallelism with Modin, Dask, and oneDAL to create efficient workflows for large-scale data processing.Co-authored a white paper on software workload optimization with the University of Florida High-performance Computing team. The paper focused on optimizing software workloads to impact Dell Technologies solutions, highlighting expertise in software optimization and HPC.

Bengaluru Area, India

Machine Learning Model Deployment:Deployed production-level predictive models using Python and R to develop a sales recommendation ML system for a CPG client.Led initiatives resulting in a 10% reduction in error rates and 15% growth through statistical and large-scale data analysis.Employed machine learning techniques such as regression, classification, clustering, and A/B testing.Conducted feature engineering and exploratory data analysis (EDA) to enhance churn prediction, customer segmentation, and data-driven insights.Pipeline Optimization and Automation:Optimized modeling pipeline with Apache Airflow and automated SQL queries in relational databases.Achieved a 23% improvement in data processing and execution time (from 3 days to 24 hours) and utilized Docker containers for efficient deployment.Engineered interactive Tableau and Excel dashboards for business intelligence (BI) and data visualization.Created customized KPI dashboards to extract data insights and developed ETL pipelines to fetch data from multiple sources into MS SQL Server data warehouse.Large-Scale Data Processing and Analysis:Utilized PySpark for large-scale data processing and wrangling using Databricks.Conducted root cause analysis, including anomaly detection, testing hyperparameters, and model architecture optimization.Leveraged PySpark for hypothesis testing and advanced analytics to drive business decision-making.Cloud-Based Data Pipeline Migration and Development:Conducted data pipeline migration, utilizing AWS resources including S3 buckets, Glue, and RDS databases.Supported scalable ETL workflows and optimized data analysis efficiency using Amazon Redshift.Web Development and Agile Project Management:Built a web-based Java RESTful API service for an internal employee annual review application using Java, Spring Boot, and Data JPA.Managed user stories/tasks in JIRA as part of the agile life cycle and utilized Github as a code repository for version control.

India

Data Pre-processing and Visualization:Conducted data pre-processing on spatial and geographic web-scraped data using Python GIS tools.Reduced anomalies and cleaned the data to improve data quality and reliability.Visualized demographic data patterns using GIS tools, providing insights into spatial trends and distributions.Predictive Modeling:Performed iterative predictive modeling using machine-learning techniques.Employed algorithms such as regression, classification, or clustering to analyze and predict outcomes.Achieved a high accuracy rate of 91%, demonstrating proficiency in modeling and data analysis.Collaboration and Impact:Collaborated with cross-functional teams to understand project requirements and goals.Communicated findings and insights effectively to stakeholders, driving data-driven decision-making.Contributed to the development of data-driven strategies and solutions, enhancing overall project outcomes.

Master Of Science - Ms, Computer Science, 3.73/4.0

Bachelor’S Degree, Computer Science