Anik Kumar Paul
Junior Data Scientist
Career Summary
Data professional with over 3.5 years of experience, including 2.5 years at a2i supporting evidencebased decision-making. Proficient in machine learning, statistics, and automated data pipeline
development, with a track record of transforming complex datasets into actionable insights. Skilled
in stakeholder coordination, having sensitized over 1,000 officials on data governance and led crossagency training initiatives. Committed to mission-driven work, with a strength in translating technical
data into clear narratives that guide smarter decisions and improve business outcomes.
Technical Expertise
Data Analysis: Power BI, Tableau, Apache Superset, Metabase, Excel, PowerPoint
Programming: Python, Pandas, NumPy, PyTorch, React.js
DB & Query: SQL, PostgreSQL, MySQL
Dev Tools: Git, Docker, Jira, Jupyter Notebook, Google Colab, ArcGIS, QGIS
Work Experience
Developed and evaluated ML models to support predictive research and analysis. Conducted EDA and feature analysis on large-scale public sector datasets. Led Time, Cost, and Visit (TCV) analysis for data-governance research. Trained government officials across 11 ministries and 76+ agencies nationwide. Supported Data Leadership and National Dashboard project management initiatives. Automated reporting pipelines, cutting manual processing time by 60%. Supported workshop sensitizing 1,000+ officials on data governance leadership.
Developed automated weekly insight reports for high-level business decisions. Built custom automation tools, boosting client-support efficiency by 70%. Defined KPIs and built interactive dashboards to track performance metrics. Designed relational data models to support consistent business reporting. Led internal trainings and workshops to streamline data reporting workflows. Supported strategic planning and research for data-driven fundraising proposals.
Contributed to Apache Superset dashboard development and documentation. Performed data cleaning, SQL queries, and data visualization. Applied basic ML techniques for pattern identification on datasets. Supported Data Leadership workshop facilitation and documented event reports. Assisted communication efforts for government data innovation partnerships.
Educational Qualifications
• Master of Science in Geographic Information System (2024 - 2025)
Jahangirnagar University; CGPA: 3.78/4.00
• Bachelor of Science in Computer Science and Engineering (2019 - 2023)
American International University-Bangladesh (AIUB); CGPA: 3.40/4.00
Research
• Demographic Assessment of Lightning-Related Fatalities and Vulnerabilities in Bangladesh
(2025 - 2026)
• Semantic Segmentation for Autonomous Driving (2022 - 2023)
Projects
• Built an end-to-end drought forecasting ML pipeline for Bangladesh using 40+ years of
CHIRPS, NASA POWER, and MODIS NDVI data, predicting agricultural drought via SPI-3 with
XGBoost, Random Forest, and LSTM models.
• Contributed to the first stage of Bangladesh's National Dashboard (dashboard.gov.bd) using
Apache Superset, implementing the sharing module, roles management, and access control
features.
Relevant Training & Certifications
• Basic Image Classification with TensorFlow, Coursera, 2026
• Optimize Projects and Processes, Harvard Business Review, 2026
• Training of Trainers for Mastering Effective Learning Design, United Nations Institute for
Training and Research (UNITAR), 2024
• International Data Masterclass, United Nations Statistics Division, 2024
• Introduction to Psychology, Yale University, 2020
Language Preference
• Bengali (Native); English (Fluent); Hindi (Conversational); Spanish (Beginner)
Contact
paulanik565@gmail.com
+8801857309026
linkedin.com/in/paulanik
paulanik.github.io
Test
Add the most relevant details and achievements.