The data around Sangamner is older than any dataset industry talks about: irrigation timings argued over for decades, cane cycles, the judgement calls a water-scarce district makes every season. This track teaches you to formalise that kind of knowledge — Python, SQL, predictive models, dashboards — on real agricultural data, in a fully remote seat that keeps you on the NH-60 corridor while your analysis travels further than any commute could.
Analytical aptitude at Amrutvahini and beyond
We recruit from Amrutvahini College of Engineering's CS/IT departments, Amrutvahini Polytechnic's diploma programmers, and science students at Sangamner College with a head for numbers. Selection runs on Python fundamentals and reasoning quality — the town you study in is irrelevant to us.
Modelling problems in your own backyard
Water budgeting, disease pressure after unseasonal rain, yield variation across holdings — the patterns our datasets capture are the same ones visible from Sangamner's outskirts. Interns who've watched those decisions being made read the data faster and question it better than blank-slate metro peers.
Quick Facts for Sangamner 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.
Sangamner Data Science & Agricultural Analytics FAQs