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Data Analyst with less than a year in Agricultural Statistics & Data 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
Enthusiastic Agricultural Statistics student with strong analytical and problem-solving skills. Expertise in Python, R, SPSS and MS Excel for data analytics. Interested in applying statistical techniques to improve agricultural research, productivity and sustainable farming practices. Committed to continuous learning and contributing effectively to data-driven agricultural development.
TAMIL NADU AGRICULTURAL UNIVERSITY, COIMBATORE
M.Sc.(Ag) Agricultural Statistics · Agricultural Statistics
August 1, 2024 – June 30, 2026
MOTHER TERASA COLLEGE OF AGRICULTURE, PUDDUKOTTAI
B.Sc., (Hons) Agriculture · Agriculture
August 1, 2020 – June 30, 2024
CISPRO Training & Placement Pvt. Ltd.
Data Analytics Intern
December 1, 2025 – June 1, 2026
India
Utilization of biochar for colour removal in waste water treatment: sustainable approach
January 1, 2020 – January 1, 2024
Undergraduate Project on "Utilization of biochar for colour removal in waste water treatment: sustainable approach"
Data Analytics course
Swayam
June 1, 2026 – Present
MATLAB Onramp
Unknown
June 1, 2026 – Present
Statistics Onramp
Unknown
June 1, 2026 – Present
AI for Beginners
HP life
June 1, 2026 – Present
Python for Data Analytics: A Hands-on approach
Digi Skill Development Centre and Training Institute
June 1, 2026 – Present
Excel Basics for Data Analysis
IBM
June 1, 2026 – Present
Regression Method with Machine Learning in MATLAB
Unknown
June 1, 2026 – Present
Data Analysis with R Programming
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in agricultural statistics and a project focused on sustainable approaches indicates an interest in impactful, data-driven solutions. The diverse set of certifications and tools learned suggests a proactive and continuous learning mindset. However, the experience is primarily academic and internship-based, which might require adaptation to a corporate data analyst environment. The target role of Data Analyst aligns well with the candidate's stated interests and acquired skills.
Soft Skills & Operational Fit
The candidate lists leadership, time management, decision-making, problem-solving, strong communication, critical thinking, adaptability, and teamwork as skills. While these are valuable, the provided data does not offer specific examples or contexts to evaluate their operational fit or depth at a senior level. The English test score of 68 suggests moderate communication clarity.