I can see this being true to a lot of old jobs, like my brother's first job that basically was to transcribe audio tapes. whisper can do it in no time, that's crazy.
I am a versatile Data Analyst and Generalist with a rich background in data analysis and product development. My expertise spans across creating actionable insights through analytics, driving data-oriented cultures, and engaging with customers to meet their needs effectively. With experience in Google BigQuery, Looker Studio (Google Data Studio), PostgreSQL, and Python, I have led projects in data integration, dashboard creation, and machine learning applications (although I'm not fluent/specialist in ML).
Most recently I'm working with AI, LLMs (finetuning openai models), OCR, working with different embeddings and dimensions (cohere, mixedbread, openai) etc.
Remote: Yes
Willing to relocate: Yes
Technologies: PostgreSQL, GCP, BigQuery, Looker Studio, Python, FastAPI, ElasticSearch, Neo4j
Résumé/CV: Please email me
Email: nothingcomeseasy@protonmail.com
4+ years as a Data Analyst and Generalist with strong experience in analytics, data pipelines, and product-oriented data work.
2 years working with semantic search, document parsing, entity extraction, audio transcription, and classification workflows using LLMs.
Highlights:
Semantic search and re-ranking (Neo4j + Elasticsearch + embeddings)
LLM + OCR pipelines for extracting structured data from PDFs/images (using Azure and Gemini)
Whisper-based audio transcription with post-processing and hallucination detection
Ran experiments comparing different models in terms of accuracy, time and pricing. Published internal docs + dashboards (Looker Studio, BigQuery)
Always happy to collaborate on practical, data-driven problems. Feel free to reach out!