
Skills and Certifications

- Gained foundational knowledge of Artificial Intelligence concepts including machine learning, deep learning, neural networks, and natural language processing (NLP).
- Understood ethical considerations, data bias, and responsible AI practices.
- Developed hands-on experience through interactive labs and case studies using IBM Watson tools and AI frameworks.

- Gained practical experience in designing and developing embedded systems using Arduino Uno and ESP8266 Wi-Fi module.
- Implemented real-time data acquisition, sensor integration (e.g., temperature, humidity), and actuator control.
- Developed IoT-based applications including remote monitoring and control using Wi-Fi connectivity and Blynk platform.

- Acquired a strong foundation in data concepts including types of data, data formats, and data lifecycle
- Learned key principles of data collection, cleaning, storage, and visualization.
- Explored relational databases, basic SQL queries, and data-driven decision making.
- Gained insight into data roles such as data analyst, data engineer, and data scientist, along with ethical use of data.

- Gained proficiency in Python programming, covering core concepts such as variables, data types, control structures, functions.
- Developed hands-on experience with libraries like NumPy, pandas, and matplotlib for data analysis and visualization.
- Built basic projects involving data manipulation.

- Learned essential SQL concepts including database schema, tables, relationships, and normalization.
- Gained hands-on experience writing SQL queries for data extraction, filtering, sorting, and aggregation using SELECT, WHERE, GROUP BY, HAVING, and ORDER BY clauses.
- Performed data updates and modifications using INSERT, UPDATE, and DELETE statements.
Experiences
AI Intern – IBM Skillbuild Program
18 June 2025 – 30 July 2025 · 6 Weeks
An AICTE approved internship in collaboration with IBM and Edunet Foundation
Skills: Artificial Intelligence (AI), Machine Learning
AI with Data Analytics Intern
15 July 2025 – 16 August 2025 · 4 Weeks
An AICTE approved virtual internship in collaboration with Shell India and Edunet Foundation
Skills: Data Analytics, Machine Learning
My Qualification
Bachelor of Technology (B.Tech)
Branch: Electronics and Communication Engineering
Institute: Birla Institute of Technology, Mesra
Year: 2024 (Ongoing)
CGPA: 8.43
Higher Secondary (12th)
Board: CBSE
School: Delhi Public School, Bokaro
Year of Passing: 2023
Percentage: 86%
Secondary (10th)
Board: CBSE
School: DAV Centenary Public School, Siwan
Year: 2021
Percentage: 90.4%
Projects
Employee Salary Predictor
An AI tool that predict Salary using various input features.
Random Forest Regression
Click to ViewEmission Factor Studio
An AI tool that predict supply chain emission factor using various input features.
Trained using XGBoost
Click to ViewIntelligent Classification of Rural Infrastructure Projects
An AI tool that classifies rural infrastructure projects using various input features.
Random Forest Regression and IBM Cloud
Click to ViewArduino UNO
Projects built using Arduino UNO Board
Programmed in C++ using Arduino IDE
Click to ViewESP8266 NodeMCU
Projects built using ESP8266 NodeMCU Board
Programmed in C++ using Arduino IDE
Click to View