🚀 Data Scientist | Analytics Engineer | BI → Data Science Transition
I’m a data professional with a strong foundation in Business Intelligence and Analytics, currently evolving deeper into Data Science and Machine Learning. I enjoy turning messy data into clear insights and building models that support real-world decision-making.
- Building end-to-end data science projects (from data ingestion to modeling and insights)
- Applying machine learning to business and finance use cases
- Strengthening skills in predictive modeling, time-series analysis, and optimization
- Sharing learnings and insights publicly (GitHub + LinkedIn)
- Machine Learning & Deep Learning (scikit-learn, neural networks)
- Time-series forecasting & model evaluation
- Data science best practices using Python
- Scalable analytics and cloud-based ML workflows
- Strong background in Analytics & BI, with real business impact
- Hands-on experience with:
- Python, SQL
- Power BI, Tableau
- Pandas, NumPy, scikit-learn
- Data modeling, dashboards, and storytelling
- Ability to bridge business problems ↔ technical solutions
- Clear communicator who enjoys collaborating and mentoring
- Transitioning from BI Analyst to Data Scientist
- Practical data science for business problems
- Analytics, dashboards, and turning insights into action
- 📧 Email: prashant.gaikwad@uconn.edu
- 🔗 LinkedIn: https://www.linkedin.com/in/prashant-gaikwad/
I’m naturally good at breaking the ice — I enjoy starting conversations, building connections, and bringing people together around ideas.