Results-driven Data Analyst with comprehensive experience spanning the full analytics lifecycle — ETL, data wrangling, statistical analysis, machine learning model evaluation, and interactive dashboard development using …
Results-driven Data Analyst with comprehensive experience spanning the full analytics lifecycle — ETL, data wrangling, statistical analysis, machine learning model evaluation, and interactive dashboard development using Python, SQL, Tableau, and Power BI. Proven track record of delivering measurable improvements in decision-making velocity and data reliability through robust KPI reporting, and trend analysis. Adept at exploratory data analysis, rigorous data quality assurance, and translating complex, raw datasets into clear, actionable business insights. Built additional AI/LLM domain expertise through multimodal data annotation and quality assurance work supporting model training pipelines.
<p>Labeled and validated multimodal datasets (image, video, audio, text) leveraged in training AI/LLM models, enforcing rigorous data quality and consistency checks across large-scale annotation batches.<br>
Audited annotated datasets to identify labeling errors and inconsistencies, reinforcing data integrity standards utilized in downstream analysis and model training.<br>
Constructed visualizations to monitor annotation quality and performance metrics, enabling data-driven QA decision-making.<br>
Applied structured evaluation methodologies to assess output accuracy, driving continuous process and workflow improvements.</p>
<p>Built and evaluated a machine learning classification model (Optdigits – Optical Recognition of Handwritten Digits) to accurately classify 8x8 normalized handwritten-digit bitmaps (0–9) across 64 input features.<br>
Applied rigorous statistical analysis to assess model performance on unseen test data using accuracy, error rate, and confusion matrix metrics.<br>
Utilized Python (Pandas, NumPy), Excel, and Power BI to clean, structure, and visualize training and evaluation datasets.<br>
Strengthened core proficiencies in Microsoft Power BI and statistical data analysis through hands-on model training and evaluation.</p>
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