Bimol Chandra Das
Microsoft & Google Certified Data Analyst
Data-driven professional with 5 years of experience in ride-sharing, food delivery, and supply chain analytics. Skilled in Python, SQL, Tableau, and Excel, transforming complex data into actionable insights. Currently pursuing an MS in Business Analytics at Trine University, refining expertise in predictive modeling and business intelligence. Open to collaborating on data-driven projects and applying analytical expertise to solve real-world challenges.
Core
Expertise
About Me
My journey as a Data Analyst began at Pathao Limited, where I worked in the dynamic markets of Bangladesh and Nepal to transform complex data into actionable insights. I specialize in unlocking the full potential of data-from defining key metrics and ensuring accurate data collection to analysis, management, and delivering impactful insights through visualization. I have attended industry-leading conferences and completed certifications on platforms such as (Microsoft, Google & DataCamp) In my free time, I enjoy playing chess, which helps boost my critical thinking skills and develop a strong analytical mindset.
Experience
Shoe Haven Inc
Business Analyst Intern | Mar 2024 - May 2024
- Designed and implemented Tableau and Power BI dashboards, reducing out-of-stock items by 35% and improving product availability across multi-store networks.
- Analyzed purchase trends using SQL and Python, driving a 12% increase in quarterly sales through actionable insights.
- Streamlined multi-store dataset refinement with SQL, cutting preparation time by 30% and improving reporting efficiency.
Pathao Limited
Senior Executive - Reporting & Analytics | May 2018 - July 2023
- Optimized SQL-based data cleaning, Excel integration, and Tableau visualization processes, boosting order completion by 25%, reducing cancellations by 30%, and improving fraud detection efficiency by 20%.
- Developed Power BI dashboards to track fraud patterns, boosting real-time decision-making and improving operational efficiency by 20%.
- Leveraged predictive analytics with Python (Pandas, NumPy) to forecast campaign success rates, improving resource allocation and reducing campaign costs by 12%.
- Boosted ROI by 15% and improved operational efficiency by 20% through A/B testing and campaign analysis using Tableau and Looker Studio.
- Implemented ETL pipelines and data governance standards to automate data extraction, transformation, and reporting processes, reducing preparation time by 40% and ensuring consistent reporting.
- Performed detailed SQL and Tableau analysis on customer survey data, uncovering an 81% demand trend which facilitated the successful launch of Pathao Car in Nepal and Pathao Pay in Bangladesh.
- Collaborated with cross-functional teams to implement SQL-based reporting, reducing daily call volume by 33% and web chat inquiries by 18% through analytics-based process improvements
Recent Projects
My Certifications
Ask Questions to Make Data-Driven Decisions
Issued Dec 2024 | Credential ID 9FD8MGX427RP
Google Analysis with R Programing
Issued Dec 2024 | Credential ID 2GFCRPVCL94V
Google Data Analytics Specialization
Issued Dec 2024 | Credential ID Y5WWV1GABLF2
- 1. Evaluating the Effectiveness of Different Machine Learning Models in Predicting Customer Churn in the USA
- 2. AI-Enhanced Stock Market Prediction: Evaluating Machine Learning Models for Financial Forecasting in the USA
- 3. Advancing healthcare transformation: AI-driven precision medicine and scalable innovations through data analytics
- 4. The role of AI and data integration in enhancing data protection in US digital public health an empirical study
- 5. Empowering modern business intelligence (BI) tools for data-driven decision-making: Innovations with AI and analytics insights
- 6. The Impact of Wearable Technology on Health Monitoring: A Data-Driven Analysis with Real-World Case Studies and Innovations.
- 7. Sentiment analysis of social media data: Business insights and consumer behavior trends in the USA
- 8. Strategies for Spatial Data Management in Cloud Environments
- 9. Predictive Analytics for Telecom Customer Churn: Enhancing Retention Strategies in the US Market
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