Help & Supportcareers@gravityer.com
Data Analyst with less than a year in SQL, Power BI & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst skilled in SQL, Power BI, Metabase, Python, and ETL pipeline development, specializing in automated dashboard creation and KPI tracking. Experienced in cohort and funnel analysis, customer segmentation, and time-series forecasting to support data-driven growth. Strong ability to translate complex analytical findings into clear, actionable recommendations for non-technical stakeholders.
American International University-Bangladesh
Master of Science · Computer Science
N/A – June 30, 2026
American International University-Bangladesh
Bachelor of Science · Computer Science and Engineering
N/A – June 30, 2024
Interactive Cares
Executive-Data Analyst
August 1, 2025 – February 1, 2026
Mohammadpur, Dhaka Division, Bangladesh
Pharma360 Intelligence Insight
August 1, 2025 – June 1, 2026
Developed Pharma360 Intelligence Insights, a robust analytics solution for the pharmaceutical sector, providing dynamic dashboards for revenue trends, campaign performance, customer behaviors, and regional insights.
Cohort Analysis-Online Retail Shop
August 1, 2025 – June 1, 2026
I conducted a cohort study to gain insights into customer behavior and loyalty patterns for the retail shop. The analysis primarily focused on understanding the customer lifecycle by examining key performance metrics such as cohort performance, retention rate, and churn rate over time.
View ProjectMexico Toy Sales Inventory Analysis
August 1, 2025 – June 1, 2026
Designed interactive dashboards and visualizations to uncover top-selling products, store performance, and stock patterns for data-driven decision-making. Demonstrated skills in BI stack setup, database-tool integration, and data visualization.
Rides & bites: Analyzing user trends and peak demand
August 1, 2025 – June 1, 2026
Conducted in-depth analysis of ride and food order datasets using PostgreSQL, leveraging advanced SQL techniques (window functions, partitioning, aggregations) to uncover user spending patterns, peak demand hours, and operational efficiency. Delivered actionable insights on top-performing users, drivers, and restaurants to support strategic and operational decision-making.
View ProjectVocal Data Analysis for Detecting Parkinson's Disease
August 1, 2025 – June 1, 2026
Developed a machine learning model for Parkinson's disease prediction using voice signals, leveraging six supervised classifiers, and improving accuracy through PCA-based feature selection.
View ProjectMastering Zero to Advanced SQL with BigQuery & Metabase
Interactive Cares
June 1, 2026 – Present
Data Analytics and Power BI Career Path
Interactive Cares
June 1, 2026 – Present
Data Science and Machine Learning Career Path
Interactive Cares
June 1, 2026 – Present
Industrial Data Science with R
Softanbees Technologies Private Limited
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from retail cohort analysis to pharmaceutical insights and even a machine learning model for Parkinson's disease, indicates a broad interest and adaptability. The target role of Data Analyst aligns well with their experience and skills. Their certifications further demonstrate a commitment to continuous learning and skill development, which is a positive cultural indicator. The experience at Interactive Cares, a company focused on education, suggests an environment where learning and growth are valued.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, data-driven decision-making, cross-functional collaboration, and effective communication skills, which are crucial for an Executive-Data Analyst role. Their experience in gathering requirements and delivering data-driven solutions in a collaborative environment indicates good operational fit. The projects showcase an ability to translate complex analytical findings into actionable recommendations.