With over 1 years of comprehensive experience in the field of data science & analytics, accompanied by a bachelor's degree in Statistics. Proficient in Data Analysis, Statistical Analysis, Hypothesis Testing, Market Trend Analysis, Public Heath Research. Demonstrated success in leading impactful Research projects and providing effective mentorship.
0 + Projects completed
Seasoned Data Analyst with 1+ years of experience driving business strategies through data-driven insights. Proven expertise in Data Science, Statistical Analysis, Public Health Research and Project Management.
Innovision Consulting Private Limited is a consulting firm specializing in monitoring, evaluation, and data-driven solutions to support development projects and inform strategic decision-making.
BDRS is a leading research organization in Bangladesh, dedicated to advancing knowledge and innovation through rigorous research and analysis.
Positive Plus Foundation is a non-profit organization dedicated to improving the lives through education, support, and advocacy.
CGPA: 3.66/4.00
Top Courses: Probability, Econometrics, Calculus I & II, Linear Algebra, Regression Analysis, Hypothesis Testing, Time Series Analysis, Sampling Techniques, Design of Experiments, Multivariate Statistics, Survival Analysis, Stochastic Processes, Real Analysis, Operations Research, Demographic Methods, Simulation, ANOVA and ANCOVA.
GPA: 5.00/5.00
2015-2017GPA: 5.00/5.00
Microsoft & LinkedIn Learning | Medium: LinkedIn Learning
VerifyBelow are the sample Data Analytics projects on SQL, SPSS, R/RSTUDIO, Power BI & STATA
Analyzed 30 years of weather data to uncover long-term trends in temperature and rainfall across Bangladesh. Designed an interactive Power BI dashboard to visualize seasonal patterns and climate shifts.
Developed a Power BI dashboard for a garment production house to analyze 5 years of garment sales data, uncovering trends and actionable insights for business growth.
Explored user behavior and conversion patterns on an EdTech platform using SQL-based analysis of A/B testing data. Aimed to uncover insights into user engagement, conversion optimization, and marketing performance.
Developed a rule-based fraud scoring system in Excel to detect suspicious transactions based on key risk indicators like amount, location, device, and time. Designed pivot tables, KPIs, and an interactive dashboard to visualize fraud patterns and highlight repeat offenders.
Analyzed customer behavior and segmented key user groups to uncover churn patterns using R. Built a predictive model to identify at-risk customers, supporting data-driven strategies for improved retention and business growth.
Conducted a comprehensive analysis in SPSS to explore how several factors influence BMI, using ANOVA, regression, and clustering. Built visualizations, cross-tabulations, and a BMI classification system to uncover key health patterns across different population segments.
Below are the details to reach out to me!
Dhaka, Bangladesh