Om Prakash Nahak

AI & Data Analytics Intern

Bengaluru, Karnataka 0+ yrs exp 81 · Excellent

About

Recent B.Tech Computer Science graduate skilled in Python, SQL, Data Analytics, Machine Learning, Power BI, Excel, and Business Intelligence. Completed 3+ projects in weather prediction, sales analytics, and recommendation systems. Experienced in data cleaning, exploratory data analysis, dashboard development, KPI reporting, feature engineering, machine learning model development, model evaluation, and Streamlit application development.

Skills & Expertise (38)

Python Advanced

8.2/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

NumPy Advanced

8.0/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

scikit-learn Intermediate

7.5/10

Years Exp

Jupyter Notebook Intermediate

7.5/10

Years Exp

Data Visualization Intermediate

7.5/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

Power BI Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Streamlit Slicers Filters Power Query LLM agentic AI AI Agents Generative AI RAG MySql GitHub Google Colab VS Code KPI Cards Dashboards Model Evaluation Model Training Feature Engineering Regression Classification Reporting Business Insights KPI Reporting EDA Data Cleaning Seaborn Matplotlib Java

Work Experience

AI & Data Analytics Intern

Rooman Technologies Pvt. Ltd.

Feb 2026 - May 2026

Investigated 3+ structured datasets using Python, Pandas, NumPy, Excel, SQL, and Power BI to identify trends, patterns, and business insights. Cleaned and transformed raw data across 4+ project tasks using preprocessing, visualization, KPI reporting, and dashboarding techniques. Interpreted analytics and ML results using model validation techniques, performance benchmarking, and error analysis.

Machine Learning Summer Training Program

PMEC, Berhampur

Jun 2023 - Jul 2023

Practiced 5+ ML concepts including preprocessing, train-test split, classification, regression, prediction analysis, and model comparison. Implemented end-to-end machine learning workflows including feature preparation, model development, hyperparameter tuning, and comparative model analysis.