Data Analyst with less than a year in data cleaning, EDA & dashboard development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in data cleaning, data wrangling, exploratory data analysis (EDA), statistical analysis, ETL processes, and dashboard development. Proficient in Advanced Excel, SQL, Power BI, and Python for transforming raw datasets into actionable business insights. Experienced in Power Query automation, DAX calculations, relational database querying, and interactive reporting. Strong foundation in data visualization, KPI tracking, trend analysis, and performance reporting to support data-driven decision making.
University of Gour Banga
M.Sc. in Zoology · Zoology
August 1, 2022 – June 30, 2024
Mobile Sales Analytics Dashboard
June 1, 2026 – Present
Designed an interactive Power BI dashboard to analyse mobile sales KPIs with dynamic filters, slicers, and drill-down reports. Performed advanced DAX calculations including MTD, YoY, YTD, Same Period Last Year, and automated ETL using Power Query. Built a robust data model establishing relationships across multiple tables for accurate reporting. Identified top-performing cities, brands, and models through multi-dimensional trend analysis.
Road Accident Analysis Dashboard
June 1, 2026 – Present
Processed and analysed 896,000+ records using Excel Pivot Tables and Power Query. Automated data cleaning, transformation, and preprocessing workflows. Created an interactive dashboard to analyse accident severity by vehicle type, road type, light condition, and geography. Delivered actionable insights highlighting high-risk zones and environmental patterns.
Sales Data Analysis & Business Intelligence using SQL
June 1, 2026 – Present
Analysed pizza sales dataset using complex SQL queries across multiple relational tables. Used JOINS, GROUP BY, Subqueries, CTEs, Window Functions (RANK, OVER, PARTITION BY) for deep revenue and customer analysis. Calculated Total Revenue, Average Order Value (AOV), Cumulative Revenue, and category-wise performance. Generated insights on customer behaviour, peak order times, and best-selling products.
Data Analytics Course
EME Academy
October 1, 2025 – April 1, 2026
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills, which aligns with a growth-oriented culture. The diversity of projects (sales, road accidents, pizza sales) shows adaptability and a willingness to tackle different data challenges. However, the lack of professional experience means there's no direct evidence of team collaboration or corporate cultural alignment.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, and attention to detail as soft skills. Project descriptions indicate practical application of analytical thinking and attention to detail in data cleaning and dashboard design. However, without specific assessment scores for these, it's difficult to fully gauge operational fit beyond self-declaration.