Pune graduates more statistics, economics, and data-science students each year than most states manage in five — and the default destination is a BI-services floor refreshing someone else's sales dashboard. This track is the different application: predictive modeling on agricultural data where a row in your table is an actual plot, your forecast changes an irrigation decision, and Python, SQL, and dashboard craft get exercised on datasets with real consequences.
Quantitative talent beyond the services pipeline
We recruit from COEP, VIT Pune, PICT, MIT-WPU, Cummins College, SPPU-affiliated statistics and operations-research departments, and Government Polytechnic Pune's IT diploma stream. What separates applicants here isn't the course name — it's comfort with messy data and the honesty to say a model isn't ready.
Analytics where the numbers mean acres
Pune's analytics market teaches tooling; agriculture teaches stakes. Interns build the same predictive models and visualisations consultancies promise clients — except ours feed an agronomy team that acts on them, so a sloppy feature or an unvalidated correlation gets caught by reality.
Quick Facts for Pune Applicants
- Track: Data Science & Agricultural Analytics internship within AnaVruksha's precision-agriculture programme.
- Eligibility: B.Tech/B.E./Diploma in Computer Science, Statistics, Mathematics, or related fields.
- Duration: Every internship runs in three duration options: 6 weeks, 12 weeks, or 24 weeks.
- Certification & PPO: A completion certificate is awarded on finishing your track. Strong performers are considered for performance-based conversion to a pre-placement offer after a 3-month extension.
Pune Data Science & Agricultural Analytics FAQs