Syed Faaris Razi's Work | ContraWork by Syed Faaris Razi
Syed Faaris Razi

Syed Faaris Razi

I make your data visible and your work automatic.

Profile in progress

Syed Faaris is building their profile!

Cover image for Every lead who fills out
Every lead who fills out your form/contact on website, gets a personalised, human-sounding reply within seconds — while you're in a meeting, asleep, or with another client. The moment someone submits your form, AI drafts a warm, specific reply referencing exactly what they asked about, sends it from your Gmail, and marks the lead as replied in your tracker — all instantly. No more leads going cold because you didn't get back fast enough. No more copy-pasting the same follow-up email 20x a week. The first impression is handled, every time, before you even know the lead came in. Built in Make.
0
30
🔧 Problem: Project and skill tracking were buried in densely maintained Excel files—limiting visibility across teams and departments. ✅ Solution & Outcome: Rebuilt two dynamic Power BI dashboards: • For tracking project timelines, readiness KPIs, and manpower across projects. • The 2nd: Employee-Skills distribution across departments and types. Both dashboards included department-level visuals and dynamic keyword search (projects/skills). 🌟 Earned positive recognition from senior stakeholders—highlighting our team's value. 🛠️ Tools Used: Power BI, DAX, Power Query, Python
0
81
📍 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
0
103
☀️ Problem: Energy team lacked a tool that offers users location-specific solar (PV system) performance and financial ROI dynamically. ✅ Solution & Outcome: Built an interactive solar & ROI web app 🔍 where users click/pinpoint a location on a map with selected PV System components, to get custom KPIs, sun charts, and ROI/payback forecast. 💬 Received positive feedback, sparked interest to extend or integrate it's functionality to an existing tool. 🛠️ Tools Used: Python, Anvil.works (http://Anvil.works), PVLIB (Sandia), Plotly
0
70