A tech-driven professional evolving from a strong background in DevOps and Siebel CRM into the dynamic world of Artificial Intelligence and Machine Learning.
With a passion for innovation and hands-on experience in data pipelines, predictive modeling, and natural language processing (NLP), I specialize in building smart, scalable, and automated solutions. I bring a unique edge by integrating DevOps automation into the AI/ML lifecycle, ensuring efficiency, scalability, and impact.
Languages & Frameworks:
Python, Pandas, Scikit-learn, TensorFlow, Keras, NLTK
AI/ML Techniques:
EDA, Demand Forecasting, Classification, NLP, Deep Learning, CNN
Cloud Platforms:
Azure, Databricks, AWS
Visualization Tools:
Power BI, Tableau, Matplotlib, Seaborn
DevOps Background:
Git, Jenkins, Docker, Kubernetes, Linux Scripting, Ansible
Databases & Big Data:
SQL, PySpark
- Exploratory Data Analysis (EDA)
- Time Series Forecasting
- Text Analytics & NLP
- Neural Networks (CNN, RNN)
- Regression & Classification
- Business Analytics
- CI/CD Integration in ML Projects
I believe in solving real-world problems through AI—whether it's optimizing delivery systems, understanding customer behavior, or automating decision-making processes.
Backed by recognized certifications from IBM, Google Cloud, and the University of Michigan, I'm ready to contribute to data-first teams that aim to drive real-world impact with purpose and intent.
If you’re working in AI, cloud, or data engineering—I’d love to exchange ideas, collaborate, or contribute to forward-thinking projects.
“Code with purpose, automate with intent, and innovate with data.”