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Data Science with less than a year in Business Analytics with experience in Data Analysis, Visualiza
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MBA candidate specializing in Business Analytics with hands-on experience in data analysis, visualization, and automation. Skilled in using Excel, Power BI, and R to analyze data, identify trends, and generate actionable insights. Experienced in working with financial and operational datasets to support data-driven decision-making.
KVAFSU Bidar, Dairy Science College Bengaluru
MBA (Food Business) · Business analytics
August 1, 2024 – Present
UAS Raichur,College of Agriculture Bheemarayanagudi
B.Sc (HONS) · Agriculture
August 1, 2019 – June 30, 2023
Japri Foods
Business Development Intern
October 1, 2025 – October 31, 2025
Bengaluru, Karnataka, India
Data Analysis Project – LT Foods Ltd.
June 1, 2026 – Present
Analyzed financial data to perform DuPont analysis of Return on Equity (ROE) Evaluated Cash Conversion Cycle (CCC) using operational and financial data Identified trends and key drivers impacting performance
Automation & Data Workflow Project – InstaPic (n8n)
June 1, 2026 – Present
• Built an automated workflow integrating APIs to process and generate data-driven outputs • Designed end-to-end pipeline (data input → processing → output delivery) • Improved efficiency by automating data handling and reducing manual intervention
View ProjectCode2Cognition -AI and Data Science Bootcamp
SIRPI Data science
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a strong interest in data science and business analytics, aligning with a data-driven culture. The diverse academic background (Agriculture, then MBA in Food Business/Business Analytics) suggests adaptability and a broad perspective. The internship in Business Development indicates an understanding of business context for data insights. However, the experience is primarily academic and internship-based, which might require more structured integration into a corporate data science team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify trends, interpret data, and support data-driven decision-making, which are crucial for operational fit in a data science role. The automation project suggests a proactive approach to efficiency. However, without direct assessment data on collaboration or problem-solving in a team setting, a comprehensive evaluation of soft skills is limited.