Mira Radhakrishnan
Technical Research Analyst @Keywords Studios
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WORK HISTORY
Technical Research Analyst @Keywords Studios
US
EDUCATION
Naveen Jindal School of Management, UT Dallas
Master of Science - MS, Business analytics
Anna University Chennai
Bachelor of Engineering, Electrical, Electronics and Communications Engineering
ABOUT MIRA RADHAKRISHNAN
Actively Seeking New Opportunities I’m Mira Radhakrishnan, a results-oriented Data Engineer & Data Analyst with 4+ years of experience delivering scalable cloud data solutions, business-critical insights, and AI-powered innovations. I specialize in building cloud-native, ML-ready pipelines, delivering business-critical insights, and experimenting with AI-driven solutions that push innovation forward.From startups to enterprise settings, I’ve built robust pipelines, optimized data flows, and implemented GenAI systems that drive smarter decisions and faster outcomes. My skills are, Cloud Platforms: AWS (Glue, Redshift, S3, Lambda, EC2), Azure (Data Factory, Synapse, Databricks) Data Engineering: Python, SQL, PostgreSQL, MongoDB, DBT, Hadoop, Spark ETL & Modeling: Designed ML-ready data pipelines & enterprise data models Analytics & BI: Power BI, Tableau – enabling real-time, actionable dashboards GenAI & LLMs: Built RAG-based chatbots using LangChain, FAISS, OpenAI APIs, and FastAPI; skilled in prompt engineering, vector search, LLM orchestration, and multi-agents. Integrated transformer-based models like BERT, GPT-4, and Claude for intent classification and intelligent Q&A. Experienced with platforms like Hugging Face, and LangGraph to develop scalable GenAI solutions. DevOps & CI/CD: Docker, Kubernetes (EKS), Git – for scalable, smooth deploymentsArmed with a Master’s in Business Analytics from UT Dallas, I blend technical skill with business acumen to deliver end-to-end solutions.If you or your team are hiring for roles like Data Engineer, Data Analyst, or GenAI Engineer, I bring a proven blend of technical expertise and business impact. Kindly reach out to me. Any leads will be highly appreciated.With 4 years of experience building scalable cloud pipelines, delivering ML-ready datasets, and integrating LLMs into intelligent applications, I’m ready to make a meaningful difference.Thank you for taking time and reading my profile.
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