ANUJ YADAV

Agricultural Engineer
Nagpur, IN.

About

Highly motivated Agricultural Engineering student with practical experience in data analysis and agricultural machinery maintenance. Proficient in Python, Pandas, Power BI, MS Excel, and Tableau for data manipulation, visualization, and insight generation. Skilled in troubleshooting and servicing complex tractor systems, combining technical acumen with strong problem-solving abilities to contribute effectively to agricultural innovation and operational efficiency.

Work

Internship Studio (CIT Internship)
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Intern

Nagpur, Maharashtra, India

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Summary

Intern at Internship Studio, specializing in data analysis and visualization to support data-driven decision-making and reporting.

Highlights

Applied Python for efficient data manipulation and analysis, streamlining data processing workflows.

Utilized Pandas library for comprehensive data cleaning, transformation, and analysis, ensuring data accuracy and readiness for reporting.

Developed interactive dashboards and visual reports using Power BI, enhancing stakeholder comprehension of key performance indicators.

Streamlined data handling processes by applying advanced MS Excel functions (VLOOKUP, HLOOKUP), significantly improving data management efficiency.

Explored Tableau to visualize complex data trends, facilitating the presentation of actionable, data-driven insights for strategic decision-making.

Mahindra & Mahindra
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Vocational Trainee

Nagpur, Maharashtra, India

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Summary

Completed a 10-week vocational training program at Mahindra Excellence Centre, gaining practical expertise in agricultural machinery maintenance.

Highlights

Acquired hands-on expertise in the repair and maintenance of agricultural tractors, focusing on engines, hydraulic systems, and electrical components.

Developed practical troubleshooting skills for complex mechanical and electrical issues, enhancing diagnostic capabilities in field conditions.

Gained in-depth knowledge of front axle systems and their maintenance, contributing to comprehensive vehicle servicing and longevity.

Applied preventative servicing protocols to optimize tractor performance and reliability, directly supporting operational uptime.

Education

Sam Higginbottom University of Agriculture, Technology, And Sciences (SHUATS)
Prayagraj, Uttar Pradesh, India

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Bachelor of Technology (B.Tech)

Agriculture Engineering

Sandipani International School
Nagpur, Maharashtra, India

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Intermediate

Intermediate

Montfort Senior Secondary School
Nagpur, Maharashtra, India

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Matriculation

Matriculation

Languages

English
Hindi
Marathi

Skills

Data Analysis & Visualization

Python, Pandas, Power BI, MS Excel, Tableau, Data Manipulation, Data Analysis, Data Visualization, Report Generation, Dashboard Creation, VLOOKUP, HLOOKUP.

Agricultural Engineering & Mechanics

Tractor Repair, Maintenance, Hydraulic Systems, Front Axles, Electrical Systems, Troubleshooting, Servicing, Mechanical Engineering Principles, Problem Solving in Field Conditions.

Web Technologies

JavaScript, HTML.

Digital Marketing

Content Writing, SEO, Microsoft 365.

Professional & Soft Skills

Interpersonal Skills, Team Collaboration, Adaptability, Problem Solving.

Publications

Assessment of Crop Water Requirements and Irrigation Scheduling for Wheat in Prayagraj Using CROPWAT

Published by

INTERNATIONAL RIVER-BASIN FOUNDATION (WCPI) RIVER WATER USER ASSOCIATION

Summary

Published in International River-Basin Foundation (WCPI) – River Water User Association Researched crop water requirements and irrigation scheduling for wheat in Prayagraj using the FAO CROPWAT 8.0 model and CLIMWAT database. Analyzed 20 years of meteorological data (2000–2019) to estimate evapotranspiration, effective rainfall, and irrigation needs using the FAO Penman–Monteith method. Results showed a net irrigation requirement of ~173 mm and a gross irrigation requirement of ~248 mm for wheat. Applied MATLAB for data distribution analysis, and used Python (Pandas, NumPy) and R for data interpretation and visualization. Study demonstrated that optimized irrigation scheduling can enhance water use efficiency, reduce losses, and improve crop yield and quality, supporting sustainable water resource management.

Projects

Climate Change Impact on Irrigation Water Demands at Selected Districts of Uttar Pradesh

Summary

Conducted research on wheat irrigation needs using FAO CROPWAT 8.0. Analyzed 20 years of meteorological data to estimate evapotranspiration and effective rainfall. Determined net irrigation requirement (~173 mm) and gross irrigation requirement (~248 mm) for wheat. Optimized irrigation scheduling to improve water use efficiency and crop yield. Gained experience in agro-hydrological modeling, data analysis, and sustainable water management practices Conducted research on wheat irrigation needs using FAO CROPWAT 8.0 and CLIMWAT for climate data analysis. Analyzed 20 years of meteorological data to estimate evapotranspiration and effective rainfall. Determined net irrigation requirement (~173 mm) and gross irrigation requirement (~248 mm) for wheat using model simulations. Applied MATLAB for data distribution analysis, and used Python (Pandas, NumPy) & R for data preprocessing, visualization, and interpretation. Optimized irrigation scheduling to improve water use efficiency, crop yield, and sustainable resource management.

DEVELOPMENT OF HYDROPONICS SYSTEM FOR MICRO INDUSTRIES

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Summary

Highly motivated and detail-oriented student with a strong background in agricultural technology and a passion for sustainable solutions. As a key member of a project team, I gained hands-on experience in business development and project management by creating a model for a hydroponic micro-industry. key contributions include: Financial Analysis: Developed a comprehensive budget for a new venture, calculating an annual net profit of over ₹7 lakhs by managing costs related to raw materials, labor, electricity, and rent. Market Research: Conducted in-depth market analysis to identify specific target audiences, including commercial, institutional, and individual growers, and formulated strategies to reach them. Cost Optimization: Sourced affordable components and designed a scalable system, directly addressing the challenge of high initial investment and contributing to a profitable business model. Problem-Solving: Identified critical challenges within the hydroponics industry, such as supply chain issues and skill gaps, and proposed practical solutions. Sustainable Practices: Championed a business model that reduces water usage by up to 90% and promotes pesticide-free farming, demonstrating a commitment to environmental responsibility.