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Data Analyst with less than a year in Data Analysis & Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Anjali Hiremath is an aspiring Data Analyst currently pursuing a B.Tech in Computer Science and Engineering. She has 4 months of experience in a Data Analytics Internship where she analyzed datasets, performed data cleaning, developed Power BI dashboards, and presented data-driven insights. Her skills include Python, SQL, Power BI, and exploratory data analysis, complemented by projects in retail sales analysis and customer segmentation. She is passionate about leveraging data to support business decisions.
DBATU University
B.Tech · Computer Science and Engineering
August 1, 2023 – June 30, 2027
MH. State Board of Secondary and Higher Secondary Education
HSC
June 1, 2022 – May 31, 2023
MH. State Board of Secondary and Higher Secondary Education
SSC
June 1, 2020 – May 31, 2021
Unknown
Data Analytics Internship
February 1, 2026 – June 1, 2026
India
Exploratory Data Analysis on Retail Sales
June 1, 2026 – Present
Analyzed retail sales data using Python and Pandas to uncover sales patterns. Cleaned missing, duplicate, and inconsistent data records, improving dataset reliability. Created visualizations to identify monthly sales trends and customer behaviour. Generated insights that supported improvements in overall sales performance.
Customer Segmentation Analysis
June 1, 2026 – Present
Segmented customers based on Purchasing behaviour using Python. Applied aggregation and grouping techniques to identify customer segments. Identified high-value customers to support targeted business strategies.
Power BI fundaments
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internship align well with a Data Analyst role, indicating a clear interest and foundational skill set in the domain. The diversity of projects (retail sales, customer segmentation) shows a breadth of application for their analytical skills. However, the experience level is very junior, which might impact cultural fit for a senior role requiring more independent decision-making and leadership.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, and ability to work under pressure as soft skills. The project descriptions and internship experience suggest an operational fit for data analysis tasks, particularly in data cleaning, visualization, and basic pattern identification. However, the depth of these skills for a senior role is not evident from the provided data.