Data Analyst with experience in data analytics, machine learning, SQL, Tableau, Power BI, and cloud-based data workflows. Has worked on predictive modeling, dashboard development, survey analysis, and data-driven reporti…
Data Analyst with experience in data analytics, machine learning, SQL, Tableau, Power BI, and cloud-based data workflows. Has worked on predictive modeling, dashboard development, survey analysis, and data-driven reporting across industry and academic projects.
Engineered and optimized a bespoke invoice parser model using LiLt and Huggingface, achieving 86% F1 score in line with client's annotated invoice specifications
Secured 98.6% accuracy in Speech Emotion Recognition using LSTM-RNN model, deploying it via Streamlit for real-time analysis
Transformed complex survey data into actionable information, equipping decision-makers to make informed choices based on KPI
Deployed Power BI dashboard on Netlify vi demonstrated ability to transform unstructured receipts data into valuable insights
Build on-demand SQL queries, and reports using SQL, Tableau and Power BI, requiring functions to search, join, aggregate
Engineered and optimized a bespoke invoice parser model using LiLt and Huggingface, achieving 86% F1 score in line with client's
annotated invoice specifications
Secured 98.6% accuracy in Speech Emotion Recognition using LSTM-RNN model, deploying it via Streamlit for real-time analysis
Transformed complex survey data into actionable information, equipping decision-makers to make informed choices based on KPI
Deployed Power BI dashboard on Netlify vi demonstrated ability to transform unstructured receipts data into valuable insights
Build on-demand SQL queries, and reports using SQL, Tableau and Power BI, requiring functions to search, join, aggregate
Helped lead analytics department of this student organization to understand and grow its customer base by 350% via promotions
Collected and analyzed workshop survey data, Qualtrics data, and customer feedback data to create insightful Tableau dashboards
Created weekly and monthly status reports with pivot tables and trend charts to boost marketing toward appropriate customers
Held discussions and JAD sessions to understand objectives that would provide goal-oriented trend analysis of customer data
Participated in developing supervised and unsupervised ML algorithms for predictive analysis to manage operations teams’ issues
Assisted in launching an application on AWS cloud platform, leveraging EC2, S3, & RDS instances to establish a scalable infrastructure
Designed and executed SQL queries to filter, clean, validate and analyze large datasets and created reports for client consumption
Carried out error handling, rollback commits, locking mechanisms, and user-defined functions proficiently in Oracle 11g database
Coordinated set up of API integration between external vendor systems and internal enterprise systems to establish successful feeds
Regularly participated in status meetings, planning and design sessions, and review meetings to track and report project progress
Designed a scalable predictive ML model to identify specific vaccine recipients using a wide range of diverse medical attributes
Engineered a climate change analysis model, utilizing Tableau and PowerBI effective communication on global climate pattern changes
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