I’m currently working as a Data Science Trainer and actively working on AI.

I enjoy solving business problems using data analysis, dashboards, SQL, Python, and machine learning. My background in teaching has helped me build strong conceptual clarity and communication skills, and I’m now focused on applying these skills in real-world data projects.

• Delivered training in Python, Data Analytics, Machine Learning, IBM Watson Studio, IBM Cloud, and Cognos Analytics.
• Guided learners through data cleaning, exploratory data analysis (EDA), visualization, and real-world project workflows.
• Designed and supported industry-aligned labs, case studies, and student projects focused on business problem-solving.
• Worked with cloud-based analytics tools and reporting platforms to demonstrate data-driven decision-making and dashboarding concepts.
• Mentored students in project development, interview preparation, and career readiness for analytics and data roles.

• Analyzed student and business datasets using SQL, Excel, and Python to generate actionable insights and support data-driven decision-making.
• Developed interactive dashboards and reports in Power BI to track key metrics such as student engagement, placement performance, and operational efficiency.
• Performed data cleaning, validation, and transformation to ensure data accuracy and consistency across reporting systems.
• Collaborated with cross-functional teams to identify trends, measure program outcomes, and provide recommendations for process improvement.
• Automated recurring reports and data workflows, reducing manual effort and improving reporting turnaround time.

• Worked in Testing & Quality Assurance across consumer electronic devices including audio systems, cameras, and touch panels.
• Performed bug reporting, issue analysis, validation testing, and documentation to support product quality and defect resolution.
• Collaborated on hardware/software issue identification and testing workflows.

• Gained practical exposure to Python for Data Science, Data Visualization, Big Data concepts, and analytics workflows.
• Worked on hands-on analytics projects involving data preprocessing, analysis, and business insights generation.

B.Tech in Electronics and Communication Engineering
Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Madhya Pradesh

M.Tech in Computer Science Engineering
Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Madhya Pradesh

• Languages: Python, SQL
• Data Analysis: Pandas, NumPy, Matplotlib, Seaborn
• Machine Learning: Scikit-learn, Model Building, Model Evaluation
• AI / NLP: Natural Language Processing (NLP), Prompt Engineering
• Databases: MySQL
• Tools & Platforms: Jupyter Notebook, Google Colab, Git, Excel, Power BI, MySQL Workbench
• Testing & QA: Bug Reporting, Hardware Debugging, Checksheet Analysis

• Built an interactive analytics dashboard by connecting Google BigQuery (DirectQuery) with Power BI
• Analyzed global COVID-19 cases, deaths, and vaccination trends using real-time query-driven insights
• Designed KPI cards, drill-down visuals, and filters to support data exploration and trend analysis
• Enabled auto-refresh reporting workflows through BigQuery-connected data updates
• 🔗 View Project

• Developed a Convolutional Neural Network (CNN) using TensorFlow / Keras for image classification on the CIFAR-10 dataset
• Achieved approximately 78% test accuracy and evaluated model performance across training and validation epochs
• Visualized model learning behavior and performed prediction analysis with actual vs predicted label comparison
• 🔗 View Project

• Performed data cleaning, preprocessing, and exploratory data analysis (EDA) on telecom customer data
• Built and compared Logistic Regression and Random Forest models for churn prediction
• Evaluated performance using accuracy, confusion matrix, and classification metrics
• Derived insights to identify customer churn patterns and retention-related signals
• 🔗 View Project

• Worked on a collaborative analytics project focused on job description and skill trend analysis
• Performed data cleaning, SQL-based analysis, and exploratory data analysis on role and keyword datasets
• Identified high-demand skills, role patterns, and industry-relevant trends through data visualization
• 🔗 View Project

If you found my work interesting or useful, feel free to connect or reach out — I'm always open to learning and collaboration!