Data Analyst with less than a year in SQL, Excel & Power BI
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Assessing your cultural and operational fit
Results-oriented Data Analyst (fresher) with hands-on experience in SQL, Excel (Power Query, Pivot Tables, VLOOKUP), and Power BI dashboard development. Built end-to-end analytics projects including a Netflix content library analysis covering 8,800+ records and an interactive sales performance dashboard. Strong foundation in data cleaning, EDA, and visual storytelling. Pursuing MCA at LNCT Bhopal. Seeking entry-level Data Analyst / BI Analyst roles where I can drive data-driven decision-making.
Lakshmi Narain College of Technology (LNCT), Bhopal
Master of Computer Applications (MCA)
August 1, 2024 – Present
Sadabai Raisoni Women's College, Nagpur
Bachelor of Computer Applications (BCA)
August 1, 2020 – June 30, 2023
Student Marks Analysis using Python (Pandas)
May 1, 2026 – May 1, 2026
Analyzed academic performance of 8 students across 3 subjects using Python (Pandas). Identified and handled missing values using fillna() with mean imputation to maintain data integrity. Created derived columns for Total Marks and Percentage to evaluate overall student performance. Performed subject-wise average analysis to identify weakest subject (Science – 81.14%). Ranked students by percentage using sort_values() to identify top performer (90.33%).
Food Delivery Analysis System using SQL
May 1, 2026 – May 1, 2026
Designed and developed a relational database system for a food delivery platform using SQL. Performed data analysis using SQL queries such as SELECT, GROUP BY, ORDER BY, and JOINS. Generated business insights including total revenue, top customers, restaurant performance, and highest-priced menu items. Improved understanding of database design, table relationships, and query optimization through hands-on SQL project implementation.
Netflix Library Analysis using Excel & Power BI
February 1, 2026 – February 1, 2026
Data Cleaning ETL: Processed a dataset of 8,800+ records using MS Excel (Power Query) to handle null values, remove duplicates, and standardize categorical data. Content Segmentation: Analyzed the distribution between Movies (64.3%) and TV Shows (35.7%) to understand Netflix's primary content focus. Geographical Mapping: Developed a Map Visualization in Power BI to identify global content hotspots, highlighting the USA, India, and the UK as leading contributors. Genre Rating Analysis: Visualized the top-performing genres and audience maturity ratings (e.g., TV-MA, TV-14) to decode Netflix's target demographic strategies. Interactive Dashboarding: Created a dynamic user interface using Slicers and Filters, enabling users to drill down into specific genres, ratings, and release trends.
Interactive Dashboard using Power BI
October 1, 2025 – October 1, 2025
Built a dashboard to visualize sales performance and key metrics. Created charts, KPIs, and slicers for interactive filtering. Analyzed region-wise and product-wise trends. Improved data understanding using visual storytelling techniques.
AWS Academy Graduate
AWS Academy Cloud Foundations
June 1, 2026 – Present
Networking Essentials
Cisco Networking Academy
January 1, 2025 – Present
Summer Internship Training Program – Data Analytics using Excel & Power BI
Ypilson IT Solutions
January 1, 2025 – Present
Front End Development (CSS)
Great Learning
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a foundational understanding of data analysis tools and techniques. The projects cover diverse areas like sales performance, student academic analysis, food delivery systems, and media content analysis, indicating a breadth of interest. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment. The certifications in AWS, Networking, and Front-End Development show a willingness to learn beyond core data analysis, which could be a positive for adaptability.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to perform data cleaning, analysis, and visualization, which are core operational skills for a Data Analyst. The focus on 'visual storytelling' and 'improving data understanding' suggests an awareness of communicating insights effectively. However, without specific behavioral or psychometric test results, it's difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.