Data Analyst with 1+ years in data cleaning, EDA & dashboarding.
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 proficient in SQL, Python, Excel, Power BI. Experienced in data cleaning, exploratory data analysis, dashboard creation, and reporting through academic and self-driven projects.
Haldia Institute of Technology
B.Tech · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Contai Model Institution
Higher Secondary (WBCHSE)
June 1, 2020 – May 31, 2020
Champatala High School
Secondary (WBBSE)
June 1, 2018 – May 31, 2018
Samco Asset Management Private Ltd.
Business Development Manager
February 1, 2025 – March 1, 2026
India
Netflix Data Analysis
June 19, 2026 – Present
Performed data cleaning and exploratory data analysis using Python and Pandas. Analyzed trends based on genre, ratings, and release year. Created visual reports using Matplotlib and Excel charts.
Sales Performance Dashboard
June 19, 2026 – Present
Built interactive dashboard using Power BI and Excel for sales KPI tracking. Analyzed monthly sales trends, revenue growth, and distributor performance. Generated business insights through data visualization and reporting.
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a foundational understanding of data analysis concepts. The 'Leadership & Activities' section indicates involvement in extracurriculars, suggesting teamwork and organizational skills. However, the professional experience is not directly in a data analysis role, which might require a cultural adjustment to a more technical, analytical environment. The breadth of skills is focused on entry-level data analysis tools.
Soft Skills & Operational Fit
The candidate's previous role as a Business Development Manager suggests experience in client interaction, presentation skills, and tracking performance metrics, which could be transferable to communicating data insights and managing reporting requirements. However, the operational fit for a pure data analyst role is limited given the non-technical nature of the previous professional experience.