A collection of Generative AI experiments, data analytics, and business intelligence projects showcasing expertise in LLM fine-tuning, Power BI, Advanced DAX, and Custom Visuals.
Generative AI experiments and research notebooks exploring LLM fine-tuning, NLP tasks, and advanced machine learning techniques using PyTorch and Hugging Face transformers.
Evaluating Llama 3.1 Instruct using advanced prompt engineering techniques without fine-tuning. Demonstrates few-shot learning strategies achieving 36.5% exact match accuracy with BLEU 0.54 and ROUGE-1 0.82. Systematic comparison of zero-shot vs few-shot approaches on the Disfl-QA dataset.
Fine-tuned Meta's Llama 3.1 8B using Parameter-Efficient Fine-Tuning (PEFT) with LORA on the full 7,182 training samples. Achieved 63% exact match accuracy with BLEU 0.87 and ROUGE-L 0.93. Includes comprehensive evaluation metrics, training curves, and error analysis.
Data efficiency study using LORA fine-tuning on only 100 samples (1.4% of full dataset). Achieved 62% exact match with BLEU 0.88 through 5-epoch training strategy. Demonstrates that LORA can be highly data-efficient for NLP tasks.
Data analytics and business intelligence dashboards showcasing expertise in Power BI, Advanced DAX, improved UI/UX, and Custom Visuals.
Purpose: Deliver a unified, data-driven view of national well-being across economic, environmental, health, and social dimensions to support policymakers, researchers, and stakeholders in tracking progress and identifying areas for intervention. Scope and Metrics: Aggregates multiple indicators—including earnings, employment, pollution exposure, climate stress, and life expectancy—into a weighted composite score. Displays current values, year-over-year deltas, and percent change for each dimension. Rankings and trend line charts show movement by country, region and global cohort over a selectable time range.
Overview: The Electronic US Dashboard is a unified business-intelligence platform that consolidates sales, profit, and order data for the West, South, and Midwest regions. It solves fragmented reporting and delayed insights by providing real-time integration and interactive visualizations across key metrics—regional sales revenue, profit margins, order volumes, and product performance (Laptops, Mobile Phones, Tablets, Smart Devices). Key Capabilities:• Real-time data integration for immediate insights • Interactive visualizations across multiple KPIs • Regional segmentation for West, South, and Midwest markets Impact: By delivering up-to-date, multi-dimensional analysis, the dashboard empowers retailers to: React quickly to market shifts • Optimize inventory and marketing by region • Identify high-value products and revenue opportunities This streamlined solution reduces reporting time, drives data-driven decisions, and builds a scalable foundation for advanced analytics and growth.
Enable retail leadership and store managers to understand revenue drivers, peak demand patterns, and resource constraints in order to optimize sales, staffing, and menu strategy. Scope and Metrics: Presents total sales, average transaction value, and unit counts with trend distributions. Analyzes order timing variance, product mix performance, and capacity utilization across days of the week and hours. Highlights top-selling items and long-tail SKUs to inform pricing and inventory decisions. Interactivity: Global selectors allow filtering by time range, store location, or channel.Drill-through panels surface: Hourly heatmaps of order volumes Histogram of order sizes and resolution of service gaps Product-level revenue bars with variant comparisons Scatter plots of orders vs. seating capacity Outcomes: Empower data-driven recommendations for adjusting operating hours, menu pricing, and seating layouts. Identify service bottlenecks and promotional opportunities. Facilitate ongoing performance monitoring with automated data refreshes and executive snapshot views.
Purpose: Equip HR and leadership with a single source of truth to monitor workforce size, hiring activity, compensation spend, and attrition, while revealing trends and risk areas across the organization. Scope: Consolidates HRIS and payroll data to present headline KPIs with time trends and year-over-year deltas. Supports comparisons of current vs. prior periods and highlights significant changes. Interactivity: Global filters and metric selectors enable slicing by organizational attributes and demographics. Drill-down views surface segment-level patterns for roles, departments, and employee experience factors. Outcomes: Accelerate data-driven decisions for hiring, retention, and budgeting; identify hotspots; track progress of HR initiatives. Designed for automated, periodic refresh and executive-ready reporting.
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