Curriculum Vitae Data Scientist in Bangladesh Dhaka – Free Word Template Download with AI

Name: Ahmed Khan
Email: [email protected]
Phone: +880 1712-345678
Location: Dhaka, Bangladesh

A highly motivated and detail-oriented Data Scientist with over 5 years of experience in leveraging advanced analytical techniques, machine learning, and data-driven decision-making to solve complex problems. Specializing in transforming raw data into actionable insights for businesses and organizations in Bangladesh Dhaka. Passionate about using technology to address local challenges such as urban planning, agricultural efficiency, and healthcare access. Proven expertise in Python, R, SQL, Tableau, and cloud platforms like AWS and Google Cloud. Committed to contributing to the growth of Bangladesh's digital economy through innovative data science solutions.

• Bachelor of Science in Computer Science
  University of Dhaka, Bangladesh
  Graduated: 2016
  Relevant Courses: Data Structures, Machine Learning, Database Systems
• Master of Science in Data Science
  Daffodil International University, Dhaka
  Graduated: 2019
  Thesis: "Predictive Modeling for Urban Traffic Congestion in Dhaka"
• Certifications
  - Google Cloud Professional Data Engineer (2021)
  - AWS Certified Machine Learning – Specialty (2020)
  - Microsoft Certified: Azure Data Scientist Associate (2019)

Data Scientist

Bangladesh Data Analytics Ltd. | Dhaka, Bangladesh
January 2020 – Present

• Developed and deployed machine learning models to optimize supply chain operations for local e-commerce platforms, reducing delivery times by 18%.
• Collaborated with government agencies in Bangladesh Dhaka to analyze agricultural data, enabling farmers to improve crop yields through predictive analytics.
• Created dashboards using Tableau and Power BI to monitor public health metrics, supporting the Ministry of Health's response to seasonal outbreaks.
• Led a team of 5 data scientists in a project funded by the World Bank, focusing on poverty prediction models for rural areas in Bangladesh.

Junior Data Analyst

Dhaka Tech Solutions | Dhaka, Bangladesh
June 2017 – December 2019

• Processed and analyzed large datasets from social media platforms to identify trends in consumer behavior for local businesses.
• Built SQL-based reporting systems that improved data accessibility for stakeholders, reducing report generation time by 30%.
• Supported the development of a mobile app for urban transportation tracking, using geospatial data to enhance route optimization in Dhaka's traffic conditions.

• Programming Languages: Python (Pandas, NumPy, Scikit-learn), R, SQL, Java
• Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
• Miscellaneous Tools: Jupyter Notebooks, Git/GitHub
• Machine Learning Frameworks: TensorFlow, PyTorch, Keras
• Cloud Platforms: AWS (S3, EC2), Google Cloud Platform (BigQuery)

• Dhaka Traffic Prediction System:
  Developed a real-time traffic congestion prediction model using historical and live data from Dhaka. The system was adopted by the Dhaka Metropolitan Police to improve traffic management.
• Healthcare Access Analysis:
  Analyzed healthcare facility distribution in Bangladesh, identifying gaps in rural areas. The findings were published in a report for the World Health Organization (WHO).
• AgriTech Startup Collaboration:
  Partnered with a local AgriTech startup to create an AI-powered tool that provides farmers with weather forecasts and crop recommendations tailored to Bangladesh's climate.

• Google Cloud Professional Data Engineer (2021)
• AWS Certified Machine Learning – Specialty (2020)
• Microsoft Certified: Azure Data Scientist Associate (2019)
• Best Innovation Award, Dhaka Tech Summit 2019 (for the Traffic Prediction System project)

• Fluency: English, Bangla
• Technical Communication: Skilled in presenting complex data insights to non-technical stakeholders.
• Collaboration: Experienced working with cross-functional teams in both local and international environments.

Available upon request. Contact me at [email protected] or +880 1712-345678.

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