Background

Education &
Certifications

From geophysics to data science — a multidisciplinary academic foundation with international fellowships and recognised certifications.

4.06
CGPA / 5.00
5+
Certifications
2
Int'l Fellowships
12+
Trainings
Formal Education
International Fellowships
UN Fellowship

Millennium Fellowship — Emerging Technologist

United Nations Academic Impact & Millennium Campus Network
August – December 2023
  • Selected from 44,000+ applicants across 3,300+ campuses in 170+ nations — only 9% of campuses accepted
  • One of 4,000+ Millennium Fellows from 260+ campuses in 38 countries in the Class of 2023
  • Developed leadership, management, and fundraising skills with focus on community impact and ethical decision-making
Meet the 2023 Fellows →
Energy Fellowship

Student Energy Fellowship

Student Energy — Project: Flair
March – October 2023
Distinction Award
  • Developed skills in strategic planning, project management, and urban energy systems
  • Gained expertise in community engagement, technological innovation, and budget management
  • Applied fundraising, marketing, and climate awareness with a focus on health systems
Meet the 2023 Fellows →
Certifications & Courses
Nanodegree

Data Analysis Nanodegree Program

Udacity
May – August 2022
  • Collected, cleaned, and transformed data from diverse sources with advanced data quality techniques
  • Conducted comprehensive EDA on Energy Access and Consumption dataset using Python
  • Developed insightful presentations with explanatory plots to communicate key findings
View Certificate →
Certification

Applied Data Science II: Machine Learning & Statistical Analysis

WorldQuant University
June 2021
  • Built ML models with scikit-learn to predict nursing home fines from US inspection data
  • Developed NLP models to predict Amazon review ratings from text
  • Feature engineering, imputation, encoding, and analysis of highly polar predictive words
View on Credly →
Certification

Applied Data Science I: Scientific Computing & Python

WorldQuant University
December 2020
  • Applied Python to read, clean, process, and analyse real-world datasets
  • Implemented K-means clustering using object-oriented programming
  • Used Pandas for drug prescription dataset analysis — identifying trends and patterns
View on Credly →
Specialisation

IBM Data Science Professional Certificate

IBM on Coursera
December 2020
  • Proficient in web scraping, data analysis, machine learning, and data visualization using Python and SQL
  • Built predictive models and communicated insights through compelling visualizations
  • Practical experience applying data science methodologies to real-world problems
View Certificate →

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