Summary
Overview
Work history
Education
TECHNICAL SKILLS
ACADAMIC PROJECTS
Timeline
Generic

Nihil Sai Popuri

cabra,Ireland

Summary

A data enthusiast with a strong foundation in SQL knowledge, big data handling, and machine learning basics. Proficient in utilising BI tools to drive insightful data analysis and support strategic decision-making. Committed to leveraging technical skills to contribute effectively to data-driven projects and enhance organisational performance.

Overview

1
1
year of professional experience
5
5
years of post-secondary education

Work history

Junior data analyst

The Alpha AI
Moosapet, Hyderabad, India
2023.05 - 2024.08
  • Extracted, interpreted and analysed data to drive strategic business decisions.
  • Streamlined reporting process, saving significant time on weekly report generation.
  • Implemented advanced statistical techniques leading to more accurate forecasting models.
  • Refined existing databases by removing outdated records ensuring up-to-date information availability for analysis purposes.

Education

Master of Science - Big Data Management and Analysts

Griffith College
Dublin
2024.09 - 2025.09

Bachelor of Science - Computer Science

Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science a
Chennai
2019.07 - 2023.04

TECHNICAL SKILLS

Backend : Server-side development

Web : JavaScript, HTML, CSS

Data & Analytics Tools : Python, R, SQL, Power BI, Excel

ACADAMIC PROJECTS

Detecting AI-generated Faces Vs Real Faces Using Deep Learning

  • Developed a deep learning-based system to classify AI-generated and real human faces, addressing challenges in deepfake detection and digital forensics
  • Designed and trained convolutional neural network models (e.g., ResNet/EfficientNet) for binary image classification with high accuracy
  • Built an end-to-end pipeline including data preprocessing, face detection, augmentation, and model evaluation

PREDICTION OF WEATHER FORECASTING USING MACHINE LEARNING

  • Developed a machine learning model to predict weather conditions (e.g., temperature, rainfall, humidity) using historical meteorological data
  • Performed data preprocessing including handling missing values, feature scaling, and time-series alignment
  • Engineered features such as seasonal trends, rolling averages, and lag variables to improve model performance

Timeline

Master of Science - Big Data Management and Analysts

Griffith College
2024.09 - 2025.09

Junior data analyst

The Alpha AI
2023.05 - 2024.08

Bachelor of Science - Computer Science

Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science a
2019.07 - 2023.04
Nihil Sai Popuri