Aakash Katoke

Data Analyst Intern · Excel · SQL · Python · Power BI

Wardha, Maharashtra, India

@aakash_katoke

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🎓 Bachelor of Technology in Computer Engineering at Rashtrasant Tukadoji Maharaj Nagpur University (RTMNU) · Graduating 2027

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About

Fourth-year Computer Engineering student with hands-on experience in data collection, cleaning, organization, basic analysis, and reporting using Excel, Google Sheets, SQL, Python, and Power BI. Seeking a Data Analyst role focused on data cleaning, analysis, visualization, and reporting.

Experience

Research & Data Analyst Intern

My Mati Comprehensive Development Agency

Sep 2026 – Present

Support research, data collection, and data analysis for assigned organizational projects. Prepare documentation and handle project-related correspondence and email communication. Coordinate with team members to ensure timely and accurate completion of research tasks.

Education

2027

Bachelor of Technology

Bapurao Deshmukh College of Engineering (BDCE), Sevagram, Wardha

Awarded by Rashtrasant Tukadoji Maharaj Nagpur University (RTMNU)

Computer Engineering · 2023 – 2027

Computer Engineering · 2023 – 2027

Skills

<3 months

Research Data Analysis Data Cleaning Documentation Data Collection Corporate Research Competitor Analysis Source verification

Tools / apps / platforms

<3 months

Claude Gemini Power Query Google Sheets OpenAI ChatGPT Microsoft Excel Microsoft Power BI

Projects

Prompt Optimization for LLMs

HTML, CSS, JavaScript, Flask

Conducted structured research using IEEE-published papers and cross-referenced multiple sources to verify information. Organized research findings into a formal 40+ page report with structured methodology, results, limitations, and conclusions. Created a structured research-to-report workflow and built a supporting web platform.
E-Commerce Sales Dashboard

Power BI, Power Query, DAX

Built an interactive Power BI dashboard analyzing orders, profit and customer behavior across states and payment modes. Created KPI cards for Total Sales, Profit, Quantity and Average Order Value (AOV) using DAX measures. Cleaned and transformed the data with Power Query, then visualized profit trends by month and sub-category, category-wise demand and payment mode breakdown. Compared sales at state and customer level to highlight where revenue and profit were concentrated.

⚽ Extracurricular activities

Technical Coordinator, Department of Computer Engineering, BDCE

Technical coordinator role listed under positions and additional experience.

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