Hello, I'm Oscar Tellez
Data Analyst
Data Analyst
Hi, I’m Oscar Tellez, a data-driven professional passionate about uncovering insights and turning them into actionable solutions. Whether it’s creating dashboards, analyzing trends, or automating workflows, I enjoy using data to solve complex problems and drive meaningful outcomes.
I’m a naturally curious and detail-oriented individual who thrives on continuous learning and innovation. Outside of work, I enjoy learning new things, capturing moments through photography, and staying active with sports like football, badminton, and table tennis.
Skills
Experience
Education
Certificates
I have knowledge of machine learning techniques to develop predictive models that enhance decision-making, forecasting, and classification, while uncovering patterns in large datasets. I help businesses gain insights and forecast trends with greater precision.
I am skilled at transforming raw data into actionable insights through advanced analytical techniques. I specialize in uncovering trends, identifying opportunities, and delivering data-driven recommendations to support strategic business decisions.
I am proficient in Python programming, specializing in web scraping, automation, and data manipulation. I streamline workflows, automate tasks, and prepare data for analysis, helping businesses save time and improve accuracy.
I am proficient in digital marketing, specializing in SEM and social media advertising. I manage paid campaigns on Google, Bing, and Facebook, optimizing ad strategies to drive targeted traffic and maximize ROI.
I’ve developed a Python tool that scrapes Google Shopping to find e-commerce leads (URLs) and extract contact details. It also detects the CMS platforms used by these businesses, making it easier to target the right prospects. Designed with service providers in mind, this tool helps to quickly identify and connect with high-quality leads in the e-commerce industry.
This dashboard gives an overview of an outreach department, showing metrics like the number of meetings booked, meetings held, no-show rate, and performance based on lead quality. Please note, this is a dummy version, while a more complete and fully deployed version is currently in use.
(View in FullScreen)
This dashboard, built using a publicly available dataset, lets me analyze customer churn data to spot patterns and factors driving customer loss. By visualizing churn rates, demographics, and behaviors, it provides actionable insights to improve retention strategies. It's a powerful tool for making data-driven decisions to reduce churn.
This project uses web scraping to gather job listings from a provincial portal in New Brunswick. It then cross-references each listing with a list of employers approved under Canada’s Atlantic Immigration Program (AIP). This helps international applicants easily identify jobs with AIP-approved employers, as there is no official portal to match applicants with AIP-approved companies.