I'm passionate about Data Analysis and Artificial Intelligence.

• 📍 Location: Gwalior, Madhya Pradesh, India

• 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!