I'm passionate about Data Analysis and Artificial Intelligence.
- π§ Age: 24
- π Location: Gwalior, Madhya Pradesh, India
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Data Science Course (Currently Pursuing)
Masai School, Bengaluru
Focus Areas: Python, SQL, Statistics, Machine Learning, Projects, and Industry Readiness -
B.Tech in Electronics and Communication Engineering
Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Madhya Pradesh
Graduate Engineer Trainee β Engineer
DBG Technology | Duration: 6 months
- Worked in Testing & QA
- Devices handled: Audio systems, Cameras, Touch Panels
- Responsibilities: Bug reporting, analysis, check-sheet documentation, hardware/software issue resolution
Data Analytics Intern
IBM SkillsBuild (in collaboration with AICTE & Edunet Foundation)
π
June 12, 2023 β July 24, 2023 (6 Weeks)
Internship ID: INTERNSHIP_168198413964410a8b547b1
Student ID: STU603dd315637f71614664469
Focus Areas:
- Python for Data Science
- Big Data & Hadoop
- Data Visualization
- Practical Analytics Projects
- Industry-based Data Analytics Skills
- Languages: Python, SQL
- Data Analysis: Pandas, NumPy, Matplotlib, Seaborn
- Machine Learning: Scikit-learn, Model Evaluation, Deep Learning (basics)
- NLP & AI: Natural Language Processing (NLP), Prompt Engineering
- Database: MySQL, MySQL Workbench
- Tools: Jupyter Notebook, Google Colab, Git, Excel, Power BI
- Testing & QA: Bug Reporting, Hardware Debugging, Checksheet Analysis
- Connected BigQuery (DirectQuery) with Power BI for real-time insights
- Analyzed global cases, deaths & vaccination trends
- Built interactive visuals with drill-down filters & KPIs
- Dashboard auto-refreshes when data updates in BigQuery
- π View Project
- Built a Convolutional Neural Network (CNN) from scratch using Keras & TensorFlow
- Achieved ~78% test accuracy on CIFAR-10 dataset
- Visualized training vs validation accuracy over epochs
- Performed image prediction with actual vs predicted label comparison
- π View Project
- Performed complete EDA and preprocessing
- Built and compared Logistic Regression & Random Forest models
- Evaluated model performance with accuracy, confusion matrix, etc.
- π View Project
- Worked with team on data cleaning and SQL-driven insights
- Performed exploratory data analysis on job description keywords
- Identified key trends in skills and roles using visualizations
- π View Project
π View more badges and certificates on
- Deepening knowledge in Machine Learning and Deep Learning
- Exploring Natural Language Processing (NLP) and Prompt Engineering
- Building real-world Data Science Projects
- Practicing Advanced SQL and Statistical Techniques
- Improving Dashboarding with Power BI
If you found my work interesting or useful, feel free to connect or reach out β I'm always open to learning and collaboration!
