Summary
Overview
Work History
Education
Skills
Selected Projects
Certification
Languages
Timeline
AssistantManager
Anand Dubey

Anand Dubey

Greater Noida,UP

Summary

AI Engineer and Data Scientist with strong Python and machine learning expertise. Experienced in designing scalable analytics solutions, automating ETL, and driving business impact. High proficiency in backend services, AI model deployment, and Agile delivery. Contributor to open-source projects. Recognized for delivering robust models (up to 99%+ accuracy) and presenting at international conferences. Visit portfolio for more projects: https://portfolio-upgrade-rho.vercel.app/

Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Data Analytics Virtual Internship

Deloitte Australia
08.2025
  • Completed real-world simulation focusing on analytics and forensic technology.
  • Designed Tableau dashboards and performed advanced Excel-based data classification for business insights.
  • (Forage)

Intern

MESA IT Networks
07.2025 - 09.2025
  • Applied loss functions and variance explanation techniques to compare performance metrics.
  • Analyzed large datasets to identify trends and patterns in customer behaviors.
  • Developed polished visualizations to share results of data analyses.

Research Assistant

Bennett University
02.2024 - 07.2025
  • Led 6 projects using Vision Transformers, seismic modeling, and computer vision; delivered 99.2% accuracy on HSI classification.
  • Built LSTM-based earthquake predictor (98% accuracy) and YOLO pothole detection pipeline (97.4% precision) to support real-world use cases.
  • Wrote 3 peer-reviewed papers and presented research at 2+ international conferences.

Machine Learning Engineer Intern

Zidio Development
05.2024 - 08.2024
  • Developed CNN-based emotion detection (92.3% accuracy), optimized data processing to accelerate pipeline by 15%.
  • Automated workflow for 45,000+ images, reducing manual intervention by 60%; deployed with Docker (35% faster rollout).

Data Analyst Intern

MedTourEasy
02.2024 - 06.2024
  • Built 5 Power BI dashboards, increasing KPI visibility by 25% and automating ETL for a weekly savings of 15 hours.
  • Analyzed dataset with 523k+ records, delivering 12 strategic reports and boosting team efficiency by 22%.

Education

B.Tech. - Computer Science and Engineering

Bennett University
Greater Noida, India
01.2026

Skills

  • Languages: Python, SQL, C, R, JavaScript
  • Machine Learning/AI: CNN, LSTM, Transformers, XGBoost, SVM, Deep Learning, Model Optimization
  • Frameworks: FastAPI, Flask, scikit-learn, TensorFlow, PyTorch, LangChain, NLP tools
  • Analytics/Visualization: Pandas, NumPy, Power BI, Tableau, Matplotlib, Seaborn, Statistical Modeling
  • Big Data: PySpark, HiveQL, Hadoop, Apache Spark
  • Databases: MySQL, PostgreSQL, SQLite, MongoDB
  • Cloud/DevOps: AWS (EC2, S3), Docker, Git, GitHub Actions
  • Critical thinking
  • Teamwork and collaboration
  • Data management
  • Communication
  • Problem-solving
  • Research
  • Machine learning
  • Algorithm development
  • Data analytics
  • Python programming
  • Image processing
  • Deep learning
  • Time series analysis
  • Speech recognition
  • Big data technologies
  • Teamwork
  • Analytical skills

Selected Projects

Vision Transformers for HSI Classification Built ViT model in PyTorch for Indian Pines, Salinas Valley, and Pavia datasets; engineered an end-to-end preprocessing pipeline achieving 99.2% accuracy., Potholes Detection – Computer Vision Project Developed a deep learning-based pothole detection system using Python, OpenCV, and TensorFlow, enabling automated road surface monitoring and pothole identification from real-world image datasets., Atomeds – Symptom Risk Assessment CLI Built CLI platform using CNN, XGBoost, SVM, and other models for risk prediction (heart disease, asthma, allergy, diabetes); achieved 98.6%+ model accuracy., AI Research Assistant Agent Engineered a modular agent using Python, LangChain, and Google Gemini for integrated web search, summarization, and API-driven, JSON-structured output.

Certification

  • IBM Python for Data Science and Machine Learning
  • IBM Data Analysis for Machine Learning
  • Data Science and Machine Learning Bootcamp
  • Deloitte Data Analytics Virtual Internship (Forage)

Languages

English (Superior)
Hindi (Distinguished)

Timeline

Data Analytics Virtual Internship

Deloitte Australia
08.2025

Intern

MESA IT Networks
07.2025 - 09.2025

Machine Learning Engineer Intern

Zidio Development
05.2024 - 08.2024

Research Assistant

Bennett University
02.2024 - 07.2025

Data Analyst Intern

MedTourEasy
02.2024 - 06.2024

B.Tech. - Computer Science and Engineering

Bennett University
Anand Dubey