Syed Faaris Razi

Syed Faaris Razi

Dubai, United Arab Emirates

Syed Faaris Razi

Data Analyst, Web Developer, Automation
Category : Data base
You're looking for a skilled and competent Data Analyst specializing in insightful dashboards, advanced data visualization, and strategic business automation.
With proven expertise transforming complex data into actionable intelligence, I have successfully worked with government organizations, a research & development center, and a leading inspection company to deliver clear, interactive dashboards and reports using Python, Power BI, Excel, and web frameworks—empowering better decisions for diverse business needs.

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How I Can Help You:

- Data Analysis & Dashboards:
Creating impactful, user-friendly dashboards and analytical reports to provide deep insights and drive strategic outcomes.

- Landing Pages—Fast Delivery:
Designing and launching visually compelling, copy-rich landing pages within 24 hours, purpose-built to attract and convert your client's audience and highlight business value in your portfolios or agency sites.

- Data Automation:
Automating repetitive tasks and data workflows with Python to save time, improve accuracy, and boost operational efficiency.

- Web Scraping & Data Collection:
Gathering relevant external data to enrich your insights and support better business decisions.

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Why Work With Me:

- Proven Success:
Delivered 1,200+ data automation entries, built robust dashboards, and enhanced reporting efficiency for leading UAE organizations.

- Versatile Experience:
Portfolio showcasing comprehensive dashboard projects, data science explorations, fast-paced web solutions, and collaborations with government, R&D, and inspection sectors.

- Client-Focused:
Clear communication with regular updates, ensuring your priorities and expectations are fully met.

- Reliable Collaboration:
Accessible via Microsoft Teams, email, or your preferred platforms for consistent project progress and feedback.

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Curious to see how I work?
Contact me or explore my portfolio, where I share videos of my work with problem-to-solution successes (site: faaris.netlify.app).

Let's turn your data into actionable business value and grow your online presence—together!

Working hours

  • Monday:08h00 To 18h00
  • Tuesday:08h00 To 18h00
  • Wednesday:08h00 To 18h00
  • Thursday:08h00 To 18h00
  • Friday:08h00 To 18h00
  • Saturday:Not available
  • Sunday:Not available
Worked in the Anti-Money Laundering Compliance office (AML) in DIEZ where I:

- Managed client inquiries via in-person visits, Telephone,
Salesforce, MS CRM, and Outlook, reduced team workload in a
constrained timeframe.

- Enhanced workflow efficiency for the team with automated file
processes and a batch-mailing solution to clients.

- Completed 1.2K+ data entries in 9 weeks, saving the team 6.7+
hours per week through optimized data processes and careful
reviews.
Worked in the Technology Advancement Development department for the Business Development team, where I:

- Developed interactive Dashboards, improved visibility into project
status across departments, resource allocation & skills, earning
positive recognition from high-level stake holders and colleagues.

- Conducted landscape and gap analysis, presented to the VP and
stakeholders, influenced a decision to acquire software.

- Applied file automation via Python for identifying critical missing
files, successfully reported to the team.
Worked for the Energy Team in TUV (DAFZA), where I:

- Developed a prototype Solar Analytics Web Dashboard for the
Energy Team, for potential in-house and commercial use. (Excel
to a Django Project).

- Continued the project (during studies) with various web
frameworks for dashboard enhancement.
Worked with PPRS (Winnipeg, Manitoba) during studies for 4+ months where I:

- Followed security post orders at factory sites, with interior and
exterior patrols, CCTV monitoring, logging reports to the
supervisor.
  • IBM Data Science Professional 05/12/2019
    My certificate link:
    https://www.credly.com/badges/cb948795-d86b-4138-9989-933d2567891b

    As IBM Data Science Professional, I dived into comprehensive program learning the full data science workflow, with hands-on training in Python programming, data analysis, SQL, data visualization, with leading libraries and tools along with machine learning models, where I successfully completed a capstone project (outlined as problem-to-solution below).

    📍 Problem:
    Opening a restaurant/business with no location profiling risks poor visibility, high competition, and low ROI.

    🚀 Solution & Outcome:
    Used data-driven analysis (crime rates, venue types, proximity to downtown, competitors) and K-means clustering to reveal Winnipeg neighborhoods with the highest potential — helping clients choose optimal launch areas with confidence.

    Tools Used:
    Python; Geocoder (arcGIS), Pandas, Folium, Plotly, Sklearn, Foursquare API
  • 🇬🇧 English
  • 🇮🇳 Hindi
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