Visit Campus

UGC Disclosures

Apply Now

CV Library > 

Sarim Shaikh

Sarim Shaikh

Major:
Data Science and Politics,
Double Major:
Data Science and Politics
Mobile:
9136254448
Envelope Icon
Linkedin
Download CV

Overview

Sarim Shaikh is a final-year Data Science and Politics student at Krea University, with internship experience spanning water and agricultural data analysis at WELL Labs, social impact evaluation at Social Lens Consulting, political and policy research at Idovin Strategies and Tilldate, and grassroots fieldwork with farmers and MGNREGA workers ahead of the 2024 Maharashtra election.

He is interested in turning messy, real-world data into insights that can inform decisions, and his capstone research focuses on administrative exclusion in India’s voter roll revision process.

Sarim is looking at roles in development consulting and evidence-based policy, where he can combine data analysis with field-level context to work on governance, gender inclusion, and rural livelihoods issues.

Internships

Year 1: Research Internship

4 weeks

Year 2: Ball Tracker(IPL)

Data Analyst intern

8 weeks

Year 2: Idovin Strategies

Political Strategist Intern

20 weeks

Year 3: Well Labs

Data Analyst intern

12 weeks

Year 3: Social Lens

Impact intern

8 weeks

Projects and Work

Independent Study: RTE Private-School Reservation and School Sorting

Oct 2026 – Present

  • Evaluating whether RTE Section 12(1)(c)’s 25% private-school quota shifted school enrolment by caste and income, using UDISE+ data
  • Applying difference-in-differences across states with staggered rollout

Undergraduate Capstone: Gender Disenfranchisement in Voter Revision Systems

July 2026 – Present

  • Investigating administrative exclusion of women during Bihar and West Bengal’s Special Intensive Revision (SIR) process, synthesizing multi-source datasets (ECI roll revisions, Lokniti-CSDS, PLFS, Census) to assess whether marriage-migration and document barriers reflect state administrative bottlenecks or political gatekeeping in systematic roll deletion

Applied Dynamical Systems: Non-Linear Voter Volatility & Chaos

Dec 2025

  • Modelled anti-incumbency and political instability using the non-linear discrete Logistic Map; computed bifurcation thresholds and Lyapunov exponents in Python to simulate transitions into deterministic electoral chaos

Get in Touch

For more information,
please contact the Career Services Office

For more information, please contact the Careers Services Office

Career Services Office,
SIAS, Krea University
Email:

[email protected]

Tel:

+91 44 6741 2000