As a Python expert, I've developed various products ranging from web applications to data analysis tools. My approach is always focused on efficiency, scalability, and user experience
GitHub #TechWithHer
Automates data collection, cleaning, and analysis, with real-time dashboards, automated reports, and visualizations.
Technologies Used: Python (Pandas, NumPy), SQL/NoSQL, Data Visualization Libraries (Matplotlib, Seaborn), Dash/Flask
Industries: Finance, Healthcare, E-Commerce
Handles customer queries, provides instant support, and automates routine tasks via websites, social media, and messaging apps.
Technologies Used: Python (NLTK, SpaCy), Machine Learning (TensorFlow/Keras), APIs (Twilio, Dialogflow), JavaScript
Industries: Retail, Travel & Hospitality, Healthcare
Detects fraudulent activities by analyzing patterns and anomalies in transactions, reducing the risk of fraud.
Technologies Used: Python (Scikit-learn, TensorFlow/Keras), Anomaly Detection Algorithms, SQL/NoSQL
Industries: Finance, E-Commerce, Insurance
Automates document processing including data extraction, classification, and storage. Handles scanning, text extraction, and workflow automation.
Technologies Used: Python (OCR Libraries like Tesseract, NLP Libraries, Document Processing Tools)
Industries: Legal, Healthcare, Corporate
Automates marketing campaigns, lead management, and sales processes with personalized email campaigns and lead scoring.
Technologies Used: Python (Flask/Django), Email Automation Tools (SMTP), CRM APIs
Industries: Finance, E-Commerce, Insurance