Challenge: A retail client needed to understand customer feedback at scale from thousands of online reviews and social media comments to improve products and services.

Solution: Developed and deployed a custom Natural Language Processing (NLP) model to perform sentiment analysis, classifying feedback as positive, negative, or neutral, and extract key topics of discussion.

Tech Stack: Python, NLTK, spaCy, Scikit-learn, Flask, Docker, AWS SageMaker.

Impact: Provided the client with actionable insights into customer satisfaction drivers, leading to a 15% improvement in targeted marketing campaign effectiveness and a 10% reduction in product-related complaints after subsequent updates.

Challenge: A growing consultancy firm struggled with a manual, time-consuming invoicing and monthly reporting process, leading to delays and occasional errors.

Solution: Implemented an end-to-end automated system using Make.com (formerly Integromat) to connect their time-tracking software, accounting system (QuickBooks), and email client for report distribution.

Tech Stack: Make.com, QuickBooks API, Google Sheets API, Gmail.

Impact: Reduced weekly time spent on invoicing and reporting by over 80%, eliminated data entry errors, and improved cash flow due to faster invoice dispatch.

Challenge: An e-commerce client lacked a unified, real-time view of sales data from multiple online platforms (Shopify, Amazon, eBay), hindering strategic decision-making.

Solution: Designed and built a robust data pipeline using Python and Apache Airflow to ingest, transform (ETL), and load sales data into a central PostgreSQL data warehouse. Connected Tableau for BI and visualization.

Tech Stack: Python, Apache Airflow, PostgreSQL, AWS (S3, EC2), Tableau, Shopify API.

Impact: Enabled comprehensive sales analytics, daily performance tracking, and improved inventory management, contributing to a 12% increase in sales conversion for targeted promotions.

Challenge: A local non-profit arts organization needed an affordable and easy-to-manage system for member registration, event promotion, and communication.

Solution: Built a mobile-friendly web application using Glide, using Google Sheets as the backend database. Integrated with Zapier for automated email notifications for event sign-ups.

Tech Stack: Glide, Google Sheets, Zapier, Stripe (for optional donations).

Impact: Streamlined event organization, increased member sign-ups by 30%, and significantly improved communication with attendees, all managed by non-technical staff.

Challenge: A media company with a vast archive of articles needed an efficient way to tag content for better discoverability and recommendation.

Solution: Developed an AI system using topic modeling (LDA) and keyword extraction techniques to automatically suggest relevant tags for new and existing articles.

Tech Stack: Python, Gensim, spaCy, FastAPI, Elasticsearch.

Impact: Reduced manual tagging effort by 70% and improved content discoverability, leading to a 10% increase in user engagement with archived content.

Challenge: HR department was spending excessive time on manual tasks for onboarding new hires, including account creation, document distribution, and scheduling introductory meetings.

Solution: Designed and implemented an automated onboarding workflow using PowerAutomate, integrating with Microsoft 365 services (Azure AD, SharePoint, Outlook Calendar).

Tech Stack: Microsoft PowerAutomate, Azure Active Directory, SharePoint Online, Microsoft Teams.

Impact: Streamlined the onboarding process, reducing HR admin time per new hire by 5 hours and ensuring a consistent onboarding experience.