Detail-oriented Data Analyst with 2+ years of experience in collecting, cleaning, analyzing, and visualizing complex datasets to drive data-driven business decisions. Proficient in Python, SQL, Power BI, and Tableau with…
Detail-oriented Data Analyst with 2+ years of experience in collecting, cleaning, analyzing, and visualizing complex datasets to drive data-driven business decisions. Proficient in Python, SQL, Power BI, and Tableau with hands-on experience designing ETL pipelines, performing exploratory data analysis (EDA), and building interactive dashboards. Adept at translating raw data into actionable insights for cross-functional stakeholders. Completed M.S. in Computer Science with a specialization in AI and Machine Learning.
Designed interactive Power BI and Tableau dashboards that consolidated fragmented business data into a single source of truth, enabling leadership to make same-day decisions.
Analyzed multi-source datasets exceeding 1M+ records using Python (Pandas, NumPy) and advanced SQL to uncover hidden trends.
Architected a reusable Python-based ETL framework adopted across 4 projects, standardizing workflows and increasing team efficiency.
Collaborated with engineering teams to define and enforce data contracts, resolving data quality issues at the source.
Communicated complex statistical findings through stakeholder-ready presentations for non-technical business teams.
Developed and documented reusable SQL query templates and automated Python reporting scripts, significantly reducing onboarding time.
Investigated and resolved a critical recurring data mismatch between production systems, protecting data integrity.
Designed interactive Power BI and Tableau dashboards that consolidated fragmented business data into a single source of truth, enabling leadership to make same-day decisions., Analyzed multi-source datasets exceeding 1M+ records using Python (Pandas, NumPy) and advanced SQL to uncover hidden trends., Architected a reusable Python-based ETL framework adopted across 4 projects, standardizing workflows and increasing team efficiency., Collaborated with engineering teams to define and enforce data contracts, resolving data quality issues at the source., Communicated complex statistical findings through stakeholder-ready presentations for non-technical business teams., Developed and documented reusable SQL query templates and automated Python reporting scripts, significantly reducing onboarding time., Investigated and resolved a critical recurring data mismatch between production systems, protecting data integrity.
Developed and deployed end-to-end machine learning pipelines using Python, TensorFlow, and Scikit-learn.
Designed and deployed production-grade REST APIs using FastAPI and Flask to expose ML model predictions.
Implemented a real-time computer vision pipeline using OpenCV and YOLOv5 for automated object detection.
Constructed reusable Pandas and NumPy preprocessing modules adopted across 3 projects to standardize data cleaning.
Diagnosed and resolved critical overfitting bugs during hyperparameter tuning, improving model performance.
Participated in Agile sprints using Git and JIRA, delivering PyTest-covered, peer-reviewed code.
Developed and deployed end-to-end machine learning pipelines using Python, TensorFlow, and Scikit-learn., Designed and deployed production-grade REST APIs using FastAPI and Flask to expose ML model predictions., Implemented a real-time computer vision pipeline using OpenCV and YOLOv5 for automated object detection., Constructed reusable Pandas and NumPy preprocessing modules adopted across 3 projects to standardize data cleaning., Diagnosed and resolved critical overfitting bugs during hyperparameter tuning, improving model performance., Participated in Agile sprints using Git and JIRA, delivering PyTest-covered, peer-reviewed code.
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