Senior Analyst with 1+ years in Power BI, SQL, & Python
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Assessing your cultural and operational fit
Highly motivated and results-driven professional with 1.1 years of experience in data analysis, business intelligence, and AI engineering. Proven ability to leverage tools like Power BI, SQL, Python, and Metabase to detect data quality issues, build interactive dashboards, and extract actionable insights. Successfully contributed to projects involving customer churn analysis, sales forecasting, and operational data structuring, delivering data-backed evidence for strategic decision-making and performance improvement.
Jahangirnagar University
Masters Of Science · Computer Science and Engineering (CSE)
August 1, 2021 – June 30, 2022
Ahsanullah University Of Science & Technology
Bachelors of Science · Computer Science and Engineering (CSE)
August 1, 2016 – June 30, 2021
Operations Data Analyst | Sauslys Foods
Operations Data Analyst
November 3, 2025 – May 31, 2026
India
Associate AI Engineer | Kryzotech
Associate AI Engineer
August 1, 2025 – October 31, 2025
India
Business Analyst Intern | Part-time Remote Job (Project Based) | null
Business Analyst Intern
June 6, 2025 – October 7, 2025
India
Data Annotator | Quantigo AI
Data Annotator
April 19, 2025 – July 31, 2025
India
Associate Data Analyst | Excelerate
(WORK EXPERIENCE) Associate Data Analyst
April 4, 2025 – August 5, 2025
India
Baby-Care-Product Sales And Forecasting Analysis
January 1, 2023 – June 30, 2023
Utilized historical sales data (Over 6 months) to create a decision driven insight. 25% increment has been achieved from monthly sales analysis.
View ProjectSales And Forecasting Analysis | Excel | Power BI
January 1, 2023 – June 30, 2023
Utilized historical sales data (Over 6 months) to create a decision driven insight. 25% increment has been achieved from monthly sales analysis.
View ProjectGrocery Sales Analysis | MS Excel
January 1, 2022 – June 1, 2024
Total market value grew 3.1% YoY (2022-2023) - from ~$11.88M to ~$12.26M (in thousands), indicating mild positive growth in revenue. Volume growth was minimal (+1.0% YoY) - from ~470K to ~475K units, suggesting the revenue gain came more from price increase than volume. Average price rose ~2.1% YoY (2022-2023) - from ~$0.025 to ~$0.026 per unit, pointing to a slight premiumization trend across the market. 2024 shows a sharp volume decline (-49.5% vs 2023) - but this is YTD data, so it's not directly comparable; caution needed before drawing conclusions.
View ProjectIncome Statement Analysis | Power BI
January 1, 2022 – December 31, 2022
Built an interactive Power BI dashboard analysing Microsoft's income statement (FY21-22), tracking revenue, gross profit, and net income KPIs with trend visualisations. Identified consistent year-on-year profit growth through clustered bar charts, demonstrating strong revenue-to-expense ratios across both fiscal years.
View ProjectData Annotation
Quantigo AI
June 1, 2026 – Present
Associate AI Engineering
Kryzotech
June 1, 2026 – Present
Associate Data Analyst
Excelerate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales analysis, income statement analysis, and churn prediction, aligns well with a Senior Analyst role that often requires a broad understanding of business functions. The use of various tools like Power BI, Metabase, Excel, and Python indicates a versatile skill set. The academic background in Computer Science and Engineering further strengthens their analytical foundation. However, the listed experience dates being in the future (2025-2026) is a significant concern for cultural fit and immediate contribution, as it suggests a lack of current, verifiable professional experience.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work in team settings, as evidenced by leading team coordination for data quality issues and delivering presentations to stakeholders. Their project descriptions indicate a results-oriented approach, focusing on achieving increments and providing actionable insights. The diverse project types (sales analysis, income statement, churn analysis) suggest adaptability and a willingness to tackle various data challenges. However, the experience dates are in the future, which raises questions about the actual duration and nature of these roles.