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Yogesh Yadav

@yogeshyadav6

Data analyst and AI engineer driving ML solutions and automation.

India
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What I'm looking for

I am seeking a role applying ML, LLMs, and data engineering to build production AI systems, automate analytics, and drive measurable business impact in a collaborative, growth-oriented team.

I am a Data Analyst and AI Engineer with hands-on experience building AI-driven automation, machine learning models, and production-ready data pipelines. I convert complex datasets into actionable insights and deploy LLM-based systems such as RAG and fine-tuned models to solve business problems.

At my current role I designed an AI-powered CRM chatbot with LLaMA and FAISS, fine-tuned models for WhatsApp sentiment analysis, automated reporting via Python and AWS Lambda, and built a lead-scoring Random Forest model on SageMaker that improved conversion metrics. I also developed large-scale web scraping and ETL workflows to standardize and clean massive datasets.

I bring strong technical skills in Python, SQL, AWS services, FAISS, and visualization with Power BI and Excel automation, paired with analytical thinking, problem solving, and ownership. I seek opportunities where I can apply ML, LLMs, and data engineering to deliver measurable business impact.

Experience

Work history, roles, and key accomplishments

AL
Current

Data Analyst & AI Engineer

Autovyn Consultancy Pvt. Ltd.

Dec 2024 - Present (1 year 6 months)

Designed and deployed LLaMA+FAISS RAG CRM chatbot and fine-tuned LLMs for WhatsApp sentiment analysis, improving response efficiency by 40%; automated reporting and ETL pipelines to reduce manual effort by 30% and improved data accessibility.

Education

Degrees, certifications, and relevant coursework

SJ

St. Xavier's College, Jaipur

Bachelor of Science, Physics, Chemistry, Mathematics

Activities and societies: NSS Volunteer – 3 years of community service and leadership activities

Bachelor of Science with coursework in Physics, Chemistry, and Mathematics; participated in NSS with three years of community service and leadership activities.

Tech stack

Software and tools used professionally

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