Sai Gowtham | Data Analyst Portfolio

About Me

Final-year Computer Science student with a passion for turning raw data into actionable insights.

I specialize in data preprocessing, analytics, and AI/ML workflows. Built a multi-modal financial document forgery detection system using OCR, CNNs, and Flask — accepted for IEEE publication.

Key Achievements:

🏆 First Runner-Up at CAUSE 2025 for ResQ—AI-based disaster analytics using computer vision
💼 LucidML Data Preprocessing Intern—Managing large-scale datasets and cloud pipelines
🤖 AICTE AI Intern—Medical data analytics with OpenCV and deep learning
📱 OPPO Beta Tester—Quality assurance and bug tracking under NDA

Currently seeking entry-level Data Analyst or Data Scientist roles where I can contribute to data-driven decision-making.

Education

CMR University, Bangalore

B.Tech in Computer Science Engineering

2022 – 2026 CGPA: 8.00

Relevant Coursework:

Data Mining Artificial Intelligence Machine Learning DBMS DSA OOP DAA

Career Journey

From intern to industry-ready professional

OPPO

Beta Tester

Dec 2025 – Present Current Part-Time

Ensuring device quality through rigorous pre-release testing and bug tracking.

Conducted functional, performance, and regression testing on pre-release devices under strict NDA
Validated device stability, UI behavior, hardware performance, and OS-level interactions
Documented bugs with clear reproduction steps using internal feedback tools
Verified bug fixes following monthly OS updates

Testing QA Bug Reporting Performance Testing

AICTE - EduSkills

AI & ML Intern

Feb 2026 – Mar 2026

Completed AI/ML virtual internship with industry-standard projects, mentorship, and earned certification.

Participating in AI and Machine Learning training sessions covering deep learning, NLP, and computer vision
Building real-world AI/ML projects with hands-on implementation experience
Working with industry-standard frameworks and tools for model development
Collaborating with mentors and peers on practical AI applications

Machine Learning Deep Learning NLP Computer Vision AI Projects

Verify Certificate

LucidML

Data Preprocessing Intern

Oct 2025 – Jan 2026

Managing large-scale AI training datasets with automated pipelines and cloud infrastructure.

Supported data ingestion from large-scale multimedia sources for AI model training
Executed automated preprocessing pipelines with version management
Managed dataset uploads to Google Cloud Storage
Collaborated with engineers for data consistency across distributed systems

Python GCP Data Pipelines VM Workflows

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AICTE TechSaksham

AI Intern

Feb – Apr 2025

Applied deep learning and computer vision to medical data analysis.

Attended sessions on OpenCV, Streamlit, computer vision, and deep learning
Built AI-based medical diagnosis project using deep learning
Applied computer vision for medical data analysis
Earned certification from AICTE, Microsoft, SAP, and Edunet Foundation

OpenCV Streamlit Deep Learning Medical AI

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Technical Arsenal

Technologies I work with daily

AI & ML

TensorFlow

Keras

OpenCV

PyTorch

Scikit-learn

Flask

YOLO

Networking

TCP/IP DNS HTTP/HTTPS

Testing

Manual Testing Bug Reporting Validation

Soft Skills

Problem Solving Communication Teamwork Adaptability Empathy Leadership

Tools & Platforms

Git

GitHub

Docker

Jupyter

VS Code

PyCharm

Figma

Bash

Data & Analytics

Pandas

NumPy

Matplotlib

Core Concepts

Machine Learning Deep Learning Data Structures Algorithms OOP DBMS

Featured Projects

Building systems that solve real problems

Featured IEEE Publication

A Multi-Modal Approach to Automated Financial Document Forgery Detection

Completed research project implementing multi-modal forgery detection using OCR, CNNs, and semantic validation logic. Paper titled "A Multi-Modal Approach to Automated Financial Document Forgery Detection Using CNN and Semantic Validation" accepted for IEEE publication.

Python Flask OCR CNNs Semantic Validation

View Repository →

🏆 First Runner-Up CAUSE 2025