H
Harshitha Munagala
About
Detail
Texas, United States
Timeline
work
Job
school
Education
folder
Project (professional or personal)
Résumé
Jobs
verified_user
0% verified
- TData AnalystTexas State University-Department of Division of Student SuccessJul 2024 - May 2025 (11 months)• Migrated 500+ student records to EAB Navigate using Excel-based logic, improving upload accuracy by 15% and data flow. • Designed and implemented data validation rules within 40+ course templates with MS 365, reducing data entry errors for advisors. • Created 6+ Power BI dashboards using DAX, slicers, and Excel to visualize student appointments and advising trends. • Developed ETL pipelines in Hadoop and Kafka to automate interdepartmental data transfers. • Updated documentation in SharePoint and led advisor training sessions in collaboration with the IT department. • Conducted QA checks using Excel macros and validation to ensure clean, structured input for reporting. • Utilized SQL to query and clean academic datasets
- fBusinessIntelligence AnalystfreelanceFeb 2023 - Jun 2023 (5 months)• Automated 100+ data quality checks using PowerBI, DAX, Power Query, and Excel VBA to support data pipelines in ERP/CRM systems. • Analyzed and processed 500+ distributor records, resolving SLA-driven escalations and ensuring data compliance. • Reconciled financial, pricing, and contract data using SQL and ACL Analytics to support reporting accuracy and audit readiness. • Updated SOPs in Confluence and SharePoint; collaborated cross-functionally via Teams to reduce recurring data errors by 30%. • Developed interactive dashboards using Power BI and SQL to assist small business clients in monitoring KPIs, enhancing their data-driven decision-making capabilities. • Created and distributed feedback surveys to gather client requiremen
Application Development Associate (BASF Project-Project Data Analyst)AccentureJul 2021 - Jan 2023 (1 year 7 months)• Managed project workflows in Jira and SharePoint, ensuring on-time delivery and resolving data discrepancies to maintain data integrity. • Facilitated cross-functional collaboration with developers to document business logic & verify output for 50+ system integrations. • Curated structured documentation in Confluence to support version control and onboarding initiatives with BASF. • Audited workflow records in SQL Server and ACL Analytics to identify and resolve issues, improving accuracy by 25%. • Delivered 8 Power BI dashboards and executive reports, enhancing stakeholder visibility and project alignment. • Arranged and tested SAP ERP module configurations, ensuring data accuracy aligned with client requirements. • De- IMachine Learning InternInternshala TrainingsApr 2020 - May 2020 (2 months)• Designed a classification model to predict diabetes using Support Vector Machine on the Indian Pima dataset with Python and scikit-learn, analyzing 750 patient records. • Achieved 92% accuracy in early-stage diagnosis and identified 3 key risk factors, enhancing the model's diagnostic value and clinical decision-making potential. • Utilized administrative skills to structure self-paced projects and track progress effectively using tools like Trello and Excel, ensuring organized workflow and timely completion. • Provided peer-level customer support by resolving queries from fellow interns through discussion boards and Slack, fostering a collaborative learning environment.
Education
verified_user
0% verified
- Master of Science inTexas State UniversityAug 2023 - May 2025 (1 year 10 months)
Projects (professional or personal)
verified_user
0% verified
- DDisaster Risk Prediction for Small Cities Using Machine LearningJan 2025 - May 2025 (5 months)• Engineered Random Forest and XGBoost models to identify high-risk zones based on air quality and disaster patterns. • Automated data workflows using Python and SQL; mapped insights in Tableau for strategic emergency planning. • Designed and distributed surveys to gather disaster preparedness data from small-town residents, enhancing the understanding of community needs. • Coordinated between research team members and managed scheduling and reporting duties, ensuring smooth administrative operations throughout the project.
- VVehicle Sales Data AnalysisJan 2023 - May 2023 (5 months)• Devised pricing estimators for used vehicles by training XGBoost and Random Forest on cleaned structured datasets. • Presented analytical findings through Power BI dashboards and Seaborn plots using customized evaluation metrics. • Leveraged SQL to analyze over 100,000 vehicle listings, identifying pricing anomalies and optimizing resale value predictions, which enhanced the accuracy of our pricing models. • Managed project timelines, dataset documentation, and technical reports, demonstrating strong administrative planning that ensured project efficiency and clarity. • Assisted hypothetical users in understanding price fluctuations, applying indirect customer service thinking to enhance user experience and engagement with the dat
- DDiabetes PredictionAug 2020 - Dec 2020 (5 months)• Constructed binary classifiers to evaluate diabetes risk using logistic regression, while preprocessing and cleaning patient health data with Python and SQL to ensure consistency across multiple data sources. • Maintained project documentation and model iteration logs, demonstrating strong administrative organization throughout the project lifecycle. • Engaged in survey design to gather relevant patient data, enhancing the quality of the input for the predictive models. • Provided customer service by communicating findings and insights to stakeholders, ensuring they understood the implications of the diabetes risk assessments.