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Flatheads logo — Flatheads Time Series Forecasting Intern in Indore, Madhya Pradesh
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Time Series Forecasting Intern

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Location

Indore, Madhya Pradesh

Work Mode

Work from Home

Duration

4 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹18,000/moApply on Company Website ↗

About the Internship

Flatheads has an open Time Series Forecasting Intern position in Indore for motivated freshers and final-year students. You will work on live forecasting and demand prediction projects and finish with something you can genuinely talk about in interviews. About the role As a Time Series Forecasting…

About Flatheads

Flatheads offers a mentor-led Time Series Forecasting Intern in Indore with live project work in machine learning, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Indore, Madhya PradeshVerified employer2 openings
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Skills Required

PythonTime Series AnalysisARIMA & ProphetFeature EngineeringPandasStatisticsModel EvaluationSQLVisualisationGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA who are based in or willing to work from Indore. You should be keen to learn Python, Time Series Analysis, ARIMA & Prophet on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
18,000/month

Stipend · 4 months

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Openings2 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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