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Ajay Prajapat

@ajayprajapat

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Aspiring data analyst trained at DataMites, using SQL, Power BI, and Python to turn data into business insights.

India

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What I'm looking for

I'm seeking an opportunity to begin and grow my career as a Data Analyst, applying data-driven approaches to real-world business problems.

At DataMites, I trained in data analytics and worked on practical projects involving data cleaning, exploratory analysis, and finding business insights. I used SQL to query and analyze datasets, and created interactive dashboards with Power BI and Excel.

As an Office Assistant at MAHI GANGA MOTORS,ATUL AUTO SHOWROOM, I handled data entry, billing, and record maintenance. I also used Excel and MS Word for reports and correspondence, and assisted with inventory records and sales and service reports.

Experience

Work history, roles, and key accomplishments

Office Assistant

Mahi Ganga Motors, Atul Auto Showroom

Sep 2025 - Mar 2026 (6 months)

Performed day-to-day office computer work including data entry, billing, and record maintenance. Managed customer and vehicle files and assisted in maintaining inventory records and preparing sales and service reports.

Excel Microsoft Word Data Entry Record keeping Inventory Management

Data Analytics Trainee

DataMites

Jan 2026 - Present (9 months)

Received practical training in Data Analytics using Excel, SQL, Power BI, and Python. Performed data cleaning, preprocessing, and exploratory data analysis, and created interactive dashboards and visualizations.

Excel SQL Power BI Python Data Cleaning data preprocessing Exploratory Data Analysis Data Visualization Statistics

Education

Degrees, certifications, and relevant coursework

Govind Guru Tribal University

Bachelor in Computer Application, Computer Application

Grade: CGPA 8.43

Bachelor in Computer Application degree from Govind Guru Tribal University with a CGPA of 8.43.

DataMites

Data Analytics Trainee, Data Analytics

2026 -

Professional training in Data Analytics using Excel, SQL, Power BI, and Python, including data cleaning, exploratory data analysis, and dashboard creation.