Kathryn Kashitsyn

About Me

I am a Data Analyst with 15+ years of experience in EdTech, instructional design, and product management. Over the years, I have developed skills in SQL, Python and various data visualization tools. My expertise lies in EDA, statistical analysis, predictive modeling, and data engineering.

Throughout my career in EdTech I wore many hats: an instructional designer who developed a a 3-level English-for-Tech curriculum, product manager who built and maintained custom features for Minecraft Education platform across multiple schools, Microsoft training partner who delivered classes for novices in Azure.

I would like to further my expertise in data engineering and am looking for opportunities to work with data-driven teams.

Education

Bachelor of Linguistics 2011

International Institute of Management LINK

Bachelor of Marketing 2014

Eurasian Open Institute

Google Advanced Data Analytics 2025

Google

Data Engineer in Python 2025

DataCamp

Work & Experience

Product Manager and Analyst

Alessons

August 2023

● Built a data-informed learning and product strategy by integrating user data with qualitative feedback to identify learner bottlenecks which drove a 20% increase in free-to-paid conversion. ● Developed a 3-level English-for-Tech curriculum aligned with career outcomes, enabling 100+ professionals to upskill for roles in global tech companies. ● Created user segmentation models based on engagement and proficiency data to personalize user journeys and reduce churn across cohorts.

Product Manager, Microsoft Training Partner

AKADEMIKA

October 2019 - August 2023

● Established a strategic partnership with Microsoft, setting operational and data-sharing frameworks to monitor product adoption, user engagement, and impact across multiple schools. ● Designed, built, and analyzed performance of 10+ game-based learning products on the Minecraft Education Edition platform, integrating usage analytics and feedback loops to continuously improve engagement and learning outcomes. ● Collaborated cross-functionally with educators, developers, and marketing to translate product data into actionable strategies for user retention and program scalability.

Skills

Python (for Data Analytics, Science and Engineering)
80%
SQL
90%
AWS
50%
Azure
50%
Excel
80%
LangChain
60%

Awards

First place Winner in 'Women in Data' Datathon 2025
Space Traffic and Risk Analysis This project analyzes orbital congestion and conjunction risk in low Earth orbit (LEO) using open-source datasets from the 18th Space Defense Squadron (SDS) and the Space-Track Satellite Catalog (SATCAT). With satellite numbers skyrocketing (3,371 in 2020 → 15,330 in 2025), our work highlights where space traffic is concentrated, how debris impacts safety, and what risks exist for active satellites.