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sidaiservices

Siddharth

@sidaiservices

Building intelligent GenAI and Agentic AI systems that turn data into decisions

India
Inglés, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
A seasoned Data Science and Generative AI professional with 11 years of experience, including 6 years in AI/ML and data science and 4 years specializing in Generative AI and NLP. Skilled in developing and deploying end-to-end machine learning solutions using Python, SQL, and Databricks, with deep expertise in supervised and unsupervised learning, deep learning, and large language models. Adept at building NLP-driven applications and implementing stateof-the-art GenAI models,Agentic AI Models for real-world business challenges.... Lee más

Habilidades

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sidaiservices
Siddharth
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Revisa mis servicios

Consultoría tecnológica con IA
I will turn your data into insights using machine learning
DeUSD 50 / proyectoMás información
Consultoría tecnológica con IA
I will build production ready genai ,llm solutions and agents
DeUSD 80 / proyectoMás información

Experiencia laboral

IBM

Lead Data Scientist

IBM • Tiempo completo

Apr 2014 - Present • 12 yrs 1 mo

ata Science and AI Leader with 10+ years of experience at IBM, specializing in Data Science, Machine Learning, Deep Learning, and Generative AI solutions across enterprise-scale projects. Proven track record of leading high-impact AI initiatives, delivering revenue growth, cost optimization, and operational efficiency for global clients across BFSI, healthcare, retail, and technology domains. Expert in designing and deploying end-to-end AI/ML and GenAI solutions, including predictive analytics, NLP, recommendation systems, intelligent automation, and LLM-based applications. Played a key role in multiple multi-million-dollar engagements, contributing directly to business growth, client retention, and new revenue streams through AI-driven innovation. Demonstrated leadership in mentoring teams, leading cross-functional stakeholders, and managing large-scale AI programs from ideation to production using cloud-native and MLOps frameworks. Strong advocate of responsible AI, scalable architectures, and business-aligned AI strategies. Holds multiple IBM and industry-recognized certifications in Data Science, AI, Cloud, and Generative AI. Recognized for technical excellence, strategic thinking, and ability to translate complex AI solutions into measurable business outcomes.