Kavita Rana

Founded

1. Feb 2026 – Present

   Founder · Jung Indien

   • Founded a literary magazine of culture and phenomena from young India, with a new essay every week and paid writers.
   • Designed and built the website: essays, translations with an original-language toggle, monthly editions and a subscribe flow, in Astro, Tailwind, TypeScript, Vercel and Resend.

Experience

1. Jan 2025 – Aug 2026

   Technical Writer & GTM · NannyML, acquired by Soda

   • Wrote 13 bylined technical guides for data engineers and governance teams on soda.io: data contracts, Airflow, Databricks, data testing, lineage and stewardship. Several were co-written with Soda’s CTO and solutions engineers.
   • Contributed metric pages and figures to The Little Book of ML Metrics, an open-source book on ML evaluation metrics.
   • Planned and wrote LinkedIn for 5 technical founders at once, with a different voice, topics and strategy for each.
   • A post I wrote for Soda’s CEO reached 2.4M impressions on his account.
   • Grew founder and company accounts from scratch to 30,000+ followers. Posts on the company page reached 1M+ impressions in a year, up 5,470%.
   • Built a LinkedIn content pipeline that closed a $200K deal.
   • Ran webinars end to end, from topics and landing pages to email campaigns, speaker prep, demos and reporting: $511K pipeline across 7 opportunities.
   • Built a Chrome extension in React and TypeScript that exports a LinkedIn profile’s posts and analyses them to reverse-engineer a creator’s content strategy.

2. May 2024 – Jan 2025

   Data Science Writer · NannyML

   • Wrote 14 posts for senior data scientists on drift detection, estimating performance without ground truth, and custom business metrics.
   • Wrote Python tutorials with working code on NannyML’s open-source library: custom metrics for insurance, finance and forecasting models, reverse concept drift, predictive-maintenance monitoring.
   • Documented data science projects on model monitoring and MLOps for manufacturing use cases.
   • Supported the founders’ LinkedIn growth, which is where my LinkedIn work started.

3. Oct 2023 – Mar 2024

   Data Analyst · Labellerr

   • Wrote 10 technical blogs, published under the company byline: computer vision build guides such as motion heatmaps and retail self-checkout, and setup guides for Label Studio and CVAT.
   • Built the retail product detection model behind the self-checkout guide by fine-tuning YOLO-NAS on a grocery dataset.
   • Preprocessed data for cold-email content-generation datasets.

4. Aug 2023 – Oct 2023

   Junior Machine Learning Engineer · Omdena, Berlin Chapter

   • Second-highest committer on the project.
   • Collected and mapped geospatial data with QGIS and the OSM API: landfills, recycling centres, disposal centres and transfer stations across German states.
   • Optimised routes between waste-management centres and built folium GeoJSON maps.
   • Built pages of the Streamlit app and deployed it on Streamlit Cloud with an international team.

5. Sep 2022 – Feb 2023

   Data Specialist · The Apprentice Project

   • Built YouTube Analytics dashboards that helped raise viewer retention and engagement by 25%.
   • Built Power BI dashboards and data-cleaning pipelines in Python and Google Sheets.
   • Analysed qualitative and quantitative datasets for the team.

Education

1. Aug 2021 – May 2025

   BTech, Computer Science, Business Analytics & Optimisation, minor in AI and ML · UPES, Dehradun

   • CGPA 8.03/10.
   • Courses: Machine Learning, Deep Learning, Data Mining & Prediction Modeling, Applied Statistical Analysis, Big Data Analytics, Data Visualization for Analytics.

Certificates

1. Nov 2023

   Microsoft Power BI: The Complete Masterclass · Udemy

Skills

Each one opens the work where I used it.