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Data Analyst with 1+ years in MIS, SQL & Excel
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Com Graduate with a logical mindset, seeking to leverage SQL and Advanced Excel skills gained from project-based training in Data Analytics with Tops Technologies, to improve corporate performance as a Data Analyst and help in the growth of the organization.
Swami Vidhya Nadji Vidhya Vihar – Vadodara
HSC
N/A – May 31, 2019
Maharaja Sayajirao University - Vadodara
B.Com
N/A – June 30, 2022
Sunrise School - Veraval
SSC
N/A – May 31, 2017
Healthcare Informatics Pvt Ltd
Management Information Systems (Mis) Executive
January 1, 2025 – Present
India
Spotlights Media And Management
Mis Executive
July 1, 2024 – October 1, 2024
India
Retail Sales Forecasting
June 17, 2026 – Present
Objective: The goal of this project was to apply various quantitative methods to forecast the sales of the products available in the dataset obtained from Kaggle.
View ProjectCar Dekho
June 17, 2026 – Present
Objective: It is client base project we use different type of queries and count method for this project.
Cultural Fit Analysis
The candidate's project diversity includes retail sales forecasting and a client-based project, indicating an interest in applying data analysis across different domains. The MIS Executive roles align with the target role of Data Analyst, showing a foundational understanding of data handling and reporting. The breadth of skills listed (SQL, Power BI, Excel) suggests a willingness to learn and apply various tools. However, the experience level is entry-level, and the project descriptions are brief, limiting a deeper assessment of cultural fit for a senior role.
Soft Skills & Operational Fit
The candidate's experience as an MIS Executive suggests an ability to manage time, improve productivity, and contribute to data-driven decisions. The role involves ensuring data quality and integrity, which are crucial for operational fit in a data-centric role. However, the descriptions are somewhat generic and lack specific examples of problem-solving or impact.