With an extensive 13-year career in the world of data analytics and data science, I am an accomplished Lead Data Scientist currently spearheading initiatives at Amazon. My career is marked by a deep and persistent dedication to leveraging data to derive actionable insights and build data-driven solutions.
After obtaining a Master's degree in Statistics and Data Science, I quickly dove into the burgeoning field of data analytics/data science. I have since then built a reputation for combining strong technical acumen with a keen business understanding, providing end-to-end data solutions that drive business growth and operational efficiency.
During my career, I honed skills in a variety of analytics tools and languages, including Python, R, SQL,Pyspark,MLflow,Airflow,Docker,PoweBI,AWS,GCP and Tableau. I have also demonstrated proficiency in machine learning,deep learning, predictive modeling, data mining, and big data technologies.
I am an active member of several data science communities, where I regularly share knowledge, mentor budding data scientists, and contribute to open-source projects.
I can help you with learning and executing data science projects, build a career in data science, build data products, create ETL pipelines, build dashboards, interpret, deploy, maintain ML models in production. In addition to my monthly mentorship, I also offer one-off sessions for 1:1 calls, interview preparation, resume feedback. Feel free to reach out and we can chat about how we can work together to help you achieve you career goals.