Looking for a job

Pocholo Tan

@pochiman

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I'm a data analyst based in Toronto.

Canada

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What I'm looking for

A role where I can blend problem-solving with collaboration and impact—in a team that values clean code, user-centric thinking, and continuous learning. I enjoy meaningful projects, building systems, workflows, and shaping product decisions through data. A healthy mix of autonomy, mentorship, and a clear mission is important—along with a culture that’s supportive and not afraid to innovate.

I’m a data-focused professional with 15+ years of experience using Python, SQL, and tools like Pandas and Excel to analyze large datasets and surface insights that supported smarter business decisions. In past roles, I’ve built dashboards, automated reporting workflows, and cleaned and transformed complex data to help teams spot trends, reduce errors, and improve performance. At my most recent work, I directly supported financial advisors by improving portfolio reporting accuracy and speeding up client data delivery.

While my background includes a strong foundation in software development and cloud infrastructure, I’ve consistently gravitated toward data-driven problem solving—whether that’s optimizing ETL pipelines, modeling datasets across platforms like Azure and Databricks, or writing scripts that turn messy information into something usable. I enjoy working cross-functionally, translating business needs into actionable analytics, and getting into the weeds when it counts.

Outside of work, I’m into algorithmic trading experiments, LEGO Technic builds, and any project that lets me build something from scratch. I’m curious by nature, comfortable working across tools and teams, and looking for opportunities where I can turn data into something meaningful.

Experience

Work history, roles, and key accomplishments

Software Engineer

d1g1t

Sep 2020 - May 2023 (2 years 8 months)

• Developed Python applications and microservices for data sources and REST APIs in Django and Flask.
• Wrote SQL queries, functions, joins, triggers, views, stored procedures, ETL.
• Utilized Pandas to read files, filter columns and rows, index, write group by and aggregate functions, merge data frames, create visualizations, clean data and to build data analyses to identify patterns.

Python Flask Microservices MySQL Django Distributed Systems REST API Pandas Kafka Selenium Linux PostgreSQL MongoDB AWS Jira Terraform Docker Kubernetes Datadog

Technical Support Engineer

mezmo

Jan 2019 - Dec 2019 (11 months)

• Fixed bugs in the tech stack composed of Vue.js, Node.js, MongoDB, Redis and Nginx.
• On-call support for scheduled enhancements while owning technical issues in collaboration with other developers.
• Resolved incident requests using Zendesk, Confluence, Slack, Jenkins, Docker and Kubernetes for CI/CD pipelines, Azure for deployments and Git for versioning.

JavaScript MongoDB Vue Node Linux

Technical Systems Analyst

RBC

Sep 2018 - Dec 2018 (3 months)

• Created enterprise solutions for component reusability, data sharing and security.
• Forecasted task estimates and design phases to identify, track and resolve issues.

Linux Python Bash Scripting MySQL

Application Developer

IBM Solutions Delivery

Jan 2015 - Jun 2018 (3 years 5 months)

• Built and scaled end-to-end microservice applications in Python by writing APIs, applications, automations, Bash scripts environment deployments, migrations, updates and upgrades.
• Wrote SQL queries, functions, joins, triggers, views, stored procedures.
• Generated charts and reports using Pandas modules to analyze and manipulate data.
• Used Kafka for the asynchronous exchange of information.

Linux Python Django Flask Pandas Microservices Distributed Systems Kafka Selenium MySQL PostgreSQL AWS Docker Kubernetes

Software Engineer

Accenture

May 2008 - Feb 2013 (4 years 9 months)

• Developed Python applications, Bash shell scripts and cron jobs.
• Implemented Oracle 10g/11g migrations, database changes, backup and recovery and optimizations.
• Wrote SQL queries, functions, joins, triggers, views, stored procedures, ETL.
• Utilized Pandas to read files, filter columns and rows, index, write group by and aggregate functions, merge data frames and create visualizations.