I am a Data Scientist with a solid foundation in statistical analysis and machine learning, having graduated in 2021. I have successfully delivered impactful insights and solutions across MNC and startup environments. My experience includes deploying multiple projects on cloud and on-premises systems, with a deep understanding of the challenges related to scalability and retraining of ML/AI solutions.
Current Role
I am currently working at CircleK as a Data Scientist, focusing on Merchandise and Fuel Analytics.
Previous Experience
Before CircleK, I worked at Algo8 AI as a Machine Learning Engineer, contributing to various impactful projects targeting manufacturing Industry.
Domain Expertise
- Retail (Merchandise and Fuel): Price Optimization, Loyalty Programs, Assortment, and Supply Chain Optimization
- Manufacturing: Predictive Maintenance, Quality Assurance
Skills
- Languages: Python, SQL, R, Spark
- Frameworks: Flask, FastAPI, Django
- Libraries & Tools: Databricks, NumPy, Pandas, Scikit-Learn, SciPy, matplotlib, Seaborn, TensorFlow, Keras, NLTK
- MLOps Tools: Linux, Git, Docker, MLflow, Jenkins, Airflow, Kubernetes
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