Harekrishna Shah
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am an AI and Data Engineering professional with an MSc in Data Analytics from Dublin Business School and a BTech in Computer Science. My career is focused on the intersection of data quality and scalable AI solutions. I currently work as a Data & Operations Analyst with Covalen (supporting AIB), where I specialize in high-stakes data integrity, SQL-based process optimization, and ensuring regulatory compliance. Beyond my core role, I am a Databricks Certified Data Engineer Professional (2026) with a deep focus on Generative AI. I actively prototype RAG pipelines, perform LLM prompt engineering, and build automated data classification models using Hugging Face and PyTorch. My technical background allows me to handle complex data annotation, model evaluation, and technical testing with high precision. I am looking for high-impact technical projects where I can apply my experience in LLM evaluation, prompt engineering, and complex data wrangling. I pride myself on extreme attention to detail and a systematic approach to identifying data anomalies, which makes me an ideal fit for high-quality data annotation and technical review projects. Outside of work, I am constantly experimenting with new AI technologies and contributing to technical side projects on GitHub. I am a lifelong learner who believes that AI is only as good as the data that fuels it. I thrive in hybrid/remote environments and am available for immediate start.
other
Masters in Science · Msc. In Data Analytics
September 17, 2023 – Present
Cultural Fit Analysis
The candidate's experience spans fintech and general AI automation, indicating adaptability to different industry contexts. The project diversity (RAG pipeline, neural network classifier) and skill breadth (AI/ML/LLMs, Data Engineering, Tools & Dev) suggest a good foundation for cultural fit in a data-driven organization. However, the target role is 'Data Analyst', while the experience is heavily skewed towards 'Machine Learning Engineer' and 'AI Automation & Data Engineer', which might indicate a mismatch in day-to-day responsibilities and expectations for a pure Data Analyst role.
Soft Skills & Operational Fit
The resume indicates experience in mentoring and working on scalable solutions, suggesting potential for collaboration and operational awareness. However, without specific psychometric or communication test results, a detailed assessment of soft skills and operational fit is limited.