Summary
Overview
Work History
Education
Skills
Academic Project
Extracurricular Activities
Languages
Timeline
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Himaaakshi Kamaywal

Himaaakshi Kamaywal

New Delhi

Summary

Analytical professional with a background in data analytics. Gained hands-on experience during an internship, focusing on utilizing statistical tools to analyze large datasets and interpret results. Strong in critical thinking, problem-solving, and communicating complex information effectively. Made significant contributions in previous role by improving data quality and efficiency of reporting processes.

Overview

1
1
year of professional experience

Work History

Data Analytics Intern

Jawaharlal Nehru University (JNU)
New Delhi
05.2025 - 11.2025
  • Assisted in data cleaning, preprocessing, and visualization for academic research projects.
  • Conducting data analysis and applying statistical and machine learning modeling on biomedical data.
  • Contributed to the reporting and presentation of analytical results.

Education

Master of Science - Statistics

Banasthali Vidhyapith
Tonk, Rajasthan
05-2025

Bachelor of Science - Mathematics, Statistics, and Computer Science

Banasthali Vidhyapith
Tonk, Rajasthan
06-2022

Skills

  • Programming and tools: Python, R, SAS, SPSS, SQL
  • Statistical methods: regression, time series (ARIMA, SARIMA, GAM), survival, risk, and multivariate analysis
  • Machine learning: supervised and unsupervised models, forecasting models
  • Visualization: Matplotlib, Seaborn, Tableau, Power BI
  • Soft skills: problem-solving and analytical thinking, critical reasoning, communication and presentation, adaptability, quick learning, team collaboration, attention to detail

Academic Project

  • "Forecasting the consumer food price index in India", applied ARIMA, SARIMA, and nonlinear models to 10 years of monthly data, reduced forecasting error compared to baseline models, and built reproducible workflows using Python and R
  • "Quantifying tourism’s contribution to India’s GDP", this study conducted regression analysis on key indicators: domestic visits, expenditure, FDI, and tourism receipts tools: SPSS, SAS, Python

Extracurricular Activities

  • Presented a poster in the competition of the Society of Statistics, Computer, and Application (SSCA) on emerging trends of statistical science in AI and its application
  • National seminar on recent advances in statistical theory and application
  • National workshop on the national statistical system, and the role of the national statistics office

Languages

Hindi
First Language
English
Proficient (C2)
C2

Timeline

Data Analytics Intern

Jawaharlal Nehru University (JNU)
05.2025 - 11.2025

Master of Science - Statistics

Banasthali Vidhyapith

Bachelor of Science - Mathematics, Statistics, and Computer Science

Banasthali Vidhyapith
Himaaakshi Kamaywal