Introduction
Hello, my name is AHMAD, a seasoned software engineer passionate about crafting dynamic solutions for optimal user experiences.
methodology
I architect and develop end-to-end solutions, seamlessly integrating front-end design and back-end functionality for optimal user experiences.
collaboration
With effective communication skills, i thrive on collaborative efforts, working seamlessly with cross-functional teams.
SKILLS
Technical Skills:
Comprehensive Skills:
CERTIFICATIONS
ProjectS
KEY-FEATURES:
- Users authentication and authorisation.
- Users management.
- Web-based trip barcode scanner.
- Real time trips update.
- Logging system.
- Customizable admin interface.
- Responsive interface across devices.
FUNCTIONALITY:
- Manage bookings and trips.
- Monitor trips.
- Summarize transporter's closed trips and calculate their wages
- View transporter's location on map
- Manage trips report.
- Report trips status and progress.
KEY-FEATURES:
- Users authentication and authorisation.
- Users management.
- Sales analytics dashboard.
- drag and drop file box for items update.
- Logging system.
- Customizable admin interface.
- Responsive interface across devices.
FUNCTIONALITY:
- Look up store items.
- Update items record with csv and excel files.
- Sales report analytics dashboard.
- Process sales and transactions.
- Record returns items.
Data Source: California census data.
Tools: skilearn, numpy, pandas, jupyter lab and matplotlib.
Objective: Building ML model to predict price of housing across regions in California.
Workbook: housing model jupyter notebook
The Story: Picturing a dynamic real estate market in California, where property values fluctuate based on diverse factors—economic trends, demographics, and geographical nuances. Aiming to capitalize on emerging opportunities and mitigate risks, a real estate firm faced the challenge of making accurate predictions on housing prices. Enter the predictive analysis project. The goal was clear: develop a machine learning model capable of forecasting housing prices with precision. The project was not merely about numbers; it was about providing a strategic advantage in a competitive market. The ability to anticipate price trends could guide the real estate firm in making strategic decisions—whether it be investments, sales, or property acquisitions.
Why this Solution Matters: Accurate predictions meant more than just staying ahead of market trends; it translated into a competitive edge. For a real estate firm, the ability to foresee potential hotspots for property development or identify regions with untapped market potential was a game-changer. It wasn't just about predicting prices; it was about shaping the future of their real estate investments.
KEY-FEATURES:
- Fitness business branding.
- Online workout sessions.
- See fitness tip from professional.
- See workout video organized by professional.
- Sign up for fitness classes.
- Join fitness premium.
- Payment gateway for sign up.
