Hi, my name is

Ahsan

Statistician & Data Analyst

Analysis Executive at Kantar Bangladesh. I work end-to-end on survey data: cleaning, automation in R, and generating actionable insights from panel datasets.

I am a statistician with hands-on experience in survey research, socio-economic data and retail panel data. Currently, I work as an Analysis Executive at Kantar Research Private Limited in Dhaka, where I develop data pipelines, automate reporting in R, and generate insights that support decision-making.

Previously, I also have co-authored an academic study on COVID-19 vaccine preferences, and coordinated data collection and cleaning for UGC funded public-health projects at the University of Chittagong.

I enjoy building reproducible analytics with tidyverse, designing compact KPI dashboards, and writing clean, well-documented R code that helps in meaningful research.

Technologies I use frequently:
▸ R (tidyverse, ggplot2, rmarkdown)
▸ Python
▸ SQL
▸ Excel / Power BI
▸ STATA / SPSS / SAS
▸ HTML / CSS / Git
Resume

Education

2021 – 2022 GPA: 3.73/4.00
M.Sc. in Statistics (Thesis Based)
University of Chittagong, Chattogram, Bangladesh
  • Completed thesis on Time Series Analysis using Statistical & Deep Learning Methods.
2017 – 2021 CGPA: 3.76/4.00
B.Sc. in Statistics
University of Chittagong, Chattogram, Bangladesh
  • Graduated with honors.
2017 GPA: 4.67/5.00
HSC (Science)
Govt. Science College, Dhaka
2015 GPA: 5.00/5.00
SSC (Science)
Motijheel Model High School, Dhaka

Experience

Kantar Research Private Limited logo

Analysis Executive

Kantar Research Private Limited
Dec 2024 - Present•Banani 11, Dhaka, Bangladesh
  • Develop and coordinate dataset preparation across study phases; maintain panel-data pipelines.
  • Automate data processing and reporting using R and Excel, reducing manual effort.
  • Maintain/update databases and generate recurrent insight reports for stakeholders.
Luminaries Research Limited logo

Analysis Executive

Luminaries Research Limited
Sep 2023 - Feb 2024•Gulshan 1, Dhaka, Bangladesh
  • Analyzed longitudinal retail data across regions to track KPIs and trends.
  • Automated analysis/reporting workflows; developed an internal R package to standardize reporting.
Department of Statistics, University of Chittagong logo

Research Assistant

Department of Statistics, University of Chittagong
Nov 2021 – Aug 2022
  • Co-authored “Comparative Analysis of Preferences and Willingness to Pay for COVID-19 Vaccine…” (Health Science Reports, 2025), contributing to methodology, data curation, and formal analysis.

Research & Publications

Comparative Analysis of Preferences and Willingness to Pay for COVID-19 Vaccine Among Individuals With and Without Chronic Diseases: A Discrete Choice Experiment Approach.
Begum, A., Uddin, M.A., Ahsan, S.M., & Islam, M.A.
Health Science Reports
18 July 2025
Read Full Text
The rapid development and deployment of COVID-19 vaccines have been pivotal in the global battle against the pandemic. However, vaccine acceptance remains a critical determinant of their effectiveness. While numerous studies have explored factors influencing vaccine acceptance, there is a notable dearth of research regarding preferences and willingness to pay (WTP) among individuals with chronic diseases (ChD) who are at heightened risk of severe COVID-19 outcomes. This study addresses this gap by investigating COVID-19 vaccine preferences and WTP among individuals with and without chronic diseases.
Peer-reviewedOpen Access
Comparative Study of Deep Learning & Statistical Models in Time Series Forecasting: Applications in Meteorological Variables
Islam, M.A. & Azad, Rokonuzzaman
16 June 2025 (MS Thesis)
Accurate forecasting of time series, specifically in meteorological context, is critical for informed decision-making in agriculture, disaster management and so on. In Bangladesh, seasonal monsoons and erratic weather patterns pose significant challenges to traditional time series models. This study investigates whether deep learning methods can offer tangible improvements over statistical approaches for univariate multi-step forecasting of rainfall, temperature, and ultraviolet radiation at three climatically diverse locations: Chattogram, Dhaka, and Sylhet in Bangladesh.
Master's Thesis

Achievements

National Science & Technology Fellowship (2024–2025)
Awarded by the Ministry of Science & Technology, Government of Bangladesh (MS Thesis Research).
1st Place — Statistics Quiz Competition (2023)
Department of Statistics, University of Chittagong.
1st Place — Debating Competition (2019)
Intra-department Debating Competition, Department of Statistics, CU.

My YouTube Contents

Here are some of my top videos and playlists.

A-Z Statistics & Probability for Data Science | Bangla
A-Z Statistics & Probability for Data Science | Bangla

A full playlist of Statistics tutorials | 19 Videos ~ 6 Hours

R Programming Basic to Advanced | Bangla
R Programming Basic to Advanced | Bangla

A full playlist of R Programming tutorials | 22 videos ~ 10 hours

SPSS Full Course | Bangla
SPSS Full Course | Bangla

A full playlist of SPSS and Statistics tutorials | 13 videos ~ 14 hours

Design of Experiment - Theory | Bangla
Design of Experiment - Theory | Bangla

Some tricky concepts like factorial experiments, confounding, BIBD, etc. | 8 videos

Get in Touch

I’m happy to connect about data analysis, survey research, and R automation projects. Feel free to reach out!