About Me

Solving with Data, Innovating with AI

With a passion for data and a drive to innovate, I specialize in building intelligent solutions that solve real business challenges. From predictive modeling to Generative AI, I bring ideas to life through scalable, cloud-native architectures.
Over the years, I’ve helped global tech leaders automate operations, improve decision-making, and boost revenue through impactful AI strategies.
Let’s connect and create something transformative.

deepshikhar333@gmail.com
I Build Scalable AI Solutions That Deliver Results

I’ve developed and deployed AI systems that have automated complex business processes, reduced manual effort by up to 70%, and contributed to multi-million dollar revenue growth for global tech clients.

My work spans ML pipelines, Generative AI apps, and cloud-native deployments all built with a focus on measurable outcomes, not just models.

Data Scientist

Results-driven Data Scientist with 5+ years of experience driving innovation through Machine Learning, Generative AI, and Cloud-based solutions.

Adept in Python, TensorFlow, PyTorch, and LangChain, with hands-on experience on GCP and Azure.
Recognized with multiple awards, including the Google Star Engineering Award and Best Thesis Innovation at IIT Jodhpur.

Passionate about transforming business challenges into data-backed solutions and continuously exploring the intersection of AI and real-world impact.

Generative AI
Machine Learning
Deep Learning
NLP, Computer Vision, Agentic AI, Statistics for DS

What My Clients Says

Global Impact – AI Impact across multidimensional AI

KirtiPhoto

It’s always a privilege to apply data science to solve real-world challenges, optimize processes, and drive impactful results. Together, we’ve turned data into decisions and innovation into outcomes.

Kirti Pachauri, OIM Developer
iC Consult, Germany

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Jenna Smith

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Samuel Stevens

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Jessica Loren

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Jenna Smith

Stay In Touch

Focused on delivering intelligent solutions through innovation and precision. Dedicated to solving real world problems with data-driven approaches and automated systems.

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