Vijay B K

AI/ML Engineer

Bengaluru, Karnataka 2+ yrs exp 84 · Excellent

About

Researcher & AI/ML Engineer with 1 year of hands-on experience in machine learning and data analysis (DST-funded) project. Skilled in Python and SQL. Focused on developing practical AI solutions with real-world impact.

Skills & Expertise (22)

Python Intermediate

7.4/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

EDA Intermediate

7.0/10

Years Exp

Machine Learning Intermediate

7.0/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

Jupyter Notebook Intermediate

6.5/10

Years Exp

Deep Learning Intermediate

6.5/10

Years Exp

scikit-learn Intermediate

6.5/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Excel Intermediate

6.0/10

Years Exp

Flask Beginner

5.5/10

Years Exp

Power BI Beginner

5.0/10

Years Exp

Tableau Beginner

5.0/10

Years Exp

agentic AI Beginner

4.5/10

Years Exp

LLMs Beginner

4.5/10

Years Exp

CNN Beginner

4.5/10

Years Exp

RAG Beginner

4.0/10

Years Exp

GitHub Data Wrangling VS Code Matplotlib

Work Experience

Internship - Deep Learning Applications

IIIT Allahabad

Dec 2025 - Present

Project Associate (AI/ML)

DST Funded Research Project – GITAM University

Jun 2025 - Present

Led end-to-end field data collection, cleaning, and preprocessing for a Government of India (DST-funded) research project managing multiple collection cycles, designing survey instruments, and architecting a unified analytical pipeline from raw multi-source data through preprocessing to downstream ML modeling, ensuring 100% data integrity throughout. Executed comprehensive EDA using Python and Excel across multi-source field datasets surfacing key trends, seasonal patterns, and anomalies then built, trained, and evaluated machine learning models for trend forecasting and decision support, converting research data into evidence-driven insights. Authored research documentation, progress reports, and analytical summaries; coordinated findings with faculty and interdisciplinary research teams, translating complex ML outcomes into actionable, evidence-based decisions for the research program.