I'm passionate about Data Analysis and Artificial Intelligence.
- 📍 Location: Gwalior, Madhya Pradesh, India
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M.Tech in Computer Science
LNCT University, Bhopal, Madhya Pradesh -
B.Tech in Electronics and Communication Engineering
Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Madhya Pradesh
Data Scientist IBM IX
- Hands-on experience with AI Watson Studio and IBM Cloud services for data analytics.
- Hands-on experience with IBM Cognos Analytics for reporting, dashboards, and business insights.
- Strong expertise in Python for data science, including data cleaning, analysis, and visualisation.
- Integrating analytical, visualization, and cloud tools to support data-driven decision-making and reporting outcomes.
- Solid understanding of IBM Cloud fundamentals, services, and cloud-based data workflows.
- Knowledge of Big Data concepts with practical exposure to Hadoop and Apache Spark.
- Proficient in data fundamentals, data preprocessing, and exploratory data analysis (EDA).
- Ability to design and deliver industry-aligned curriculum, labs, and student projects.
- Effective in teaching and mentoring beginners, simplifying complex technical concepts.
- Experience in student mentoring, career guidance, and interview preparation.
- Hands-on exposure to real-world datasets, industry use cases, and problem-based learning methodologies.
- Skilled in leveraging analytical tools and BI dashboards to support data-driven decision-making.
Data Analyst Masai School
- Collected, cleaned, and validated data from multiple sources to ensure accuracy and consistency for analysis
- Analyzed large datasets using SQL, Excel, and Python/R to identify trends, patterns, and business insights
- Designed and maintained dashboards and reports to track KPIs and support data-driven decision-making
- Wrote optimized SQL queries using JOIN, GROUP BY, HAVING, and subqueries for reporting and analysis
- Performed data cleaning and preprocessing, including handling missing values, duplicates, and outliers
- Conducted exploratory data analysis (EDA) to understand data behavior and uncover actionable insights
- Automated recurring reports using Excel formulas, Power Query, or scripts, reducing manual effort
- Worked closely with business and operations teams to understand requirements and translate them into analytical solutions
- Validated analytical results by cross-checking outputs with source systems and stakeholder expectations
- Prepared clear data visualizations and presentations to communicate insights to non-technical stakeholders
Testing Engineer → Engineer
DBG Technology
- 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
Edunet Foundation
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
- 🔗 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
- 🔗 View Project
- Performed complete EDA and preprocessing
- Built and compared Logistic Regression & Random Forest models
- Evaluated model performance with accuracy, confusion matrix, etc.
- 🔗 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
- 🔗 View Project
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If you found my work interesting or useful, feel free to connect or reach out — I'm always open to learning and collaboration!
