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.

All About Resume

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