Rushikesh Bedre.
I build intelligent data systems.
A Business Intelligence Developer and Automation Engineer transforming raw data into strategic assets. I architect dashboards, optimize data pipelines, and engineer AI-driven solutions.
EXPLORE MY WORKSKILLS
Languages & Libraries
Python | SQL | Pandas | NumPy | PySpark | Matplotlib | Seaborn
BI & Cloud Tech
Power BI | Tableau | AWS QuickSight | Selenium | AWS | Jupyter
Generative AI
Prompt Engineering | RAG Concepts | LangChain | OpenAI API
PROFESSIONAL EXPERIENCE
Business Intelligence Developer Intern
Rainbow Infotech // Apr-Jul 2025
- Built & deployed 12+ dynamic dashboards, reducing manual reporting by 40%.
- Optimized 60+ SQL-based ETL pipelines, cutting report generation time by 50%.
- Integrated AI visuals, accelerating dashboard delivery by 35%.
Full-Stack Data Analytics Trainee
Q spiders Training Institute, Pune | Aug 2024 - Mar 2025
- Mastered an intensive, full-stack data curriculum covering Python, SQL, ETL, and enterprise BI platforms (Power BI, Tableau).
- Developed a portfolio of hands-on projects focused on test automation, data validation, and end-to-end analysis workflows.
- Honed advanced problem-solving and debugging skills through rigorous, real-world case studies and practical assignments.
PROJECTS
Credit Risk Analysis Dashboard
An executive Power BI dashboard analyzing a $16B loan portfolio, featuring a 'What-If' simulation tool to model the financial impact of lending policy changes.
HR Analytics Dashboard
Interactive Tableau dashboard analyzing 1,400+ employee records for insights on attrition, compensation, and diversity.
Crime Data Analysis
Processed 1M+ crime records with PySpark/Pandas and built a real-time Power BI monitoring dashboard.
CREDENTIALS
Tata Group: Data Analytics
Virtual experience in predictive modeling and GenAI-based collections strategy.
Salesforce AI & Data Cloud
Achieved 16+ Trailhead badges demonstrating expertise in Generative AI, Data Cloud, Agentforce, and the Einstein Trust Layer.
LangChain for LLM Apps
Completed the DeepLearning.AI short course on developing LLM applications with LangChain, covering chains, agents, and memory management.