Amir Nadeem

Data Science & Automation Freelancer

Legiit • Freelance

Dec 2024 - Present • 1 yr 7 mos

On Legiit, I mostly work with clients in marketing and lead generation who need data collected and structured for outreach or analysis purposes. This usually means scraping business or contact data from various sources, cleaning it, and organizing it in a way that plugs directly into whatever system the client is using for sales or marketing. I've also built lead generation systems for a number of Legiit clients — not just collecting leads, but setting up the logic that filters and scores them so the client's team spends time on the ones actually worth pursuing. Alongside that, I handle general Python automation work and occasional machine learning tasks when a client needs more than a static dataset. Legiit clients tend to be very outcome-focused, so I try to frame deliverables around the result they're after rather than just handing over a technical file and calling it done. Tools I use most: Python, Selenium, BeautifulSoup, Pandas, Scikit-learn, and various lead-scoring and CRM-adjacent tools depending on the client's setup.

Python Automation & Data Extraction Freelancer

Kwork • Freelance

Sep 2023 - Present • 2 yrs 10 mos

Through Kwork, I offer Python-based automation and data extraction services, mostly to clients who need something specific built quickly rather than a long-term engagement. Typical projects include scraping data from sources like directories, marketplaces, and business listing sites, then delivering it in a structured format ready for the client to use. I also handle smaller automation jobs — scripts that pull data on a schedule, clean up messy spreadsheets automatically, or connect two tools together that don't normally talk to each other. Where relevant, I bring in machine learning for pattern analysis or add lead generation logic so the data isn't just collected but actually usable for outreach. Kwork clients are often less technical, so a lot of my time here goes into explaining things clearly and making sure the final deliverable is something they can actually open and use without needing me to walk them through it every time. Tools I use most: Python, BeautifulSoup, Selenium, Pandas, Excel, and basic ML libraries depending on the project.

Freelance Data Scientist & Python Automation Developer

Upwork • Freelance

Jan 2023 - Present • 3 yrs 6 mos

I work independently as a freelance data scientist and Python developer, taking on projects through Upwork. Most of my work falls into a few categories: web scraping for clients who need structured data from sites that aren't easy to pull from, custom automation scripts that take repetitive manual work off someone's plate, and machine learning projects where clients need predictions or pattern analysis rather than just raw numbers. Lately, a good chunk of my work has shifted toward AI integrations, too — connecting OpenAI and LangChain into client workflows so that tasks that used to require manual checking can run with much less oversight. I also build data visualisation dashboards using Plotly and Matplotlib for clients who have data but no easy way to actually make decisions from it. On Upwork specifically, most of my clients come back for ongoing work rather than one-off projects, which usually means longer-term contracts where I end up maintaining or expanding a tool I built months earlier. I try to keep communication clear from the start and stick around after delivery if anything needs adjusting. Tools I use most: Python, Pandas, NumPy, Selenium, BeautifulSoup, Scikit-learn, TensorFlow, PyTorch, SQL, and OpenAI's API.