Anisha Naskar

An aspiring Data Scientist with a strong foundation in Statistics & Machine learning, skilled at translating model output into business ready solutions and presentations. Proficient in applying advanced analytics using python and R to solve business problems.

Statistical Intern - Ministry of Statistics & Programme Implementation (MoSPI)

(2024)

• PLFS Analysis: Estimated key labour market indicators (LFPR, WPR, UR) for Andaman & Nicobar Islands from PLFS 2024 data; segmented by gender, age, education, and rural/urban sector.
• Modeling: Applied Logistic Regression & Random Forest to predict employment status; validated using Chi-Square tests, Post-Hoc Analysis & VIF.
• Data Engineering: Processed raw PLFS data with Python & Excel; applied survey weights and generated quarterly (CWS) and annual (usual status) estimates.
• Findings: Identified high unemployment among women and youth, urban-rural disparities, and skill-job mismatches in the labour market.

M.Sc. - Statistics - Banaras Hindu University, Varanasi (2024 - 2026)

B.Sc. - Statistics - Basanti Devi College, Kolkata (2019 - 2022)

Higher Secondary - Kamala Girls' High School (2018 - 2019)