Hello 👋🏽
Remmy Here!

I am a !
Skilled in Data Engineering, Data Warehousing, analytics and Data Visualization. Proficient in Python, BI tools like Metabase and Tableau, and ETL tools like Airbyte and Hightouch. Strong experience in Growth Hacking and utilizing Data to build business strategy and Sales Automation
linkedin.com/in/remmy-kimani

Here are my skills and experiences

Plotly

Pandas

PowerBI

Metabase

Tableau

HubSpot

Sheets

Snowflake

Docker

DBT

MariaDB

PostgreSQL

Hightouch

Airbyte

Mixpanel

Analytics

Segment

Excel

  • Product Data Analyst - Fulfillment

    Sendy Limited, Africa

    May 2022 - Current

    I have implemented ETL and reverse ETL tools, built Python scripts for automated messaging, streamlined fulfillment processes, and achieved a 20% activation boost and halved the time for users to place their first order. Additionally, I have supported the growth team with metric development and conducted A/B tests on product styles and marketing content.

  • Data Analyst Intern - Fulfillment

    Sendy Limited, Africa

    Mar 2022 - May 2022

    I specialize in data cleanup, CRM automation, data retrieval and visualization, and data awareness. While working with Sendy, I rectified client records in Hubspot and tracked operations in Google Sheets. I automated workflows and deal pipelines for sales, integrated operational data in Hubspot, and conducted data analysis and reporting. I also created weekly Power BI reports for marketing affiliate programs and built a company-wide data class to promote a data-driven culture.

  • Software and Network Engineering Intern

    DewCIS Solutions Limited, Kenya

    Feb 2021 - Apr 2021

    I have contributed to the development and deployment of financial management systems for small and medium financial societies. I also authored user journeys for company-wide products and provided assistance with networking issues and server administration for hosted clients.

👨🏽‍💻 Projects

Numbers of Retirement

This analysis explores the retirement rate in Europe over the past decade. The analysis gathers data on the retirement rate in different European countries and use interactive visualizations to highlight trends and patterns.