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iamkirankumaryadav/README.md

Kirankumar

Gmail     LinkedIn     Whatsapp

Kirankumar Yadav

🚀 Data Science Specialist | Machine Learning Operations (MLOps)

🤖 Business Intelligence (BI) | Digital Productivity Specialist


Skills 👨🏻‍💻

Core: Data Science, DataOps, MLOps, LLMOps, NLP, NLG, GenAI, Advanced Analytics, and Business Intelligence (BI).

Languages: Python, SQL, DAX, HTML, CSS, JavaScript, Bootstrap, and Markdown.

Data Science Environments: Anaconda, JupyterLab, and Jupyter Notebook Interface.

Source Code Editor: Microsoft Visual Studio Code, JetBrains PyCharm, and JetBrains Fleet.

Libraries: Pandas, NumPy, PySpark, Matplotlib, Seaborn, Plotly, Bokeh, Scikit Learn, etc.

Business Intelligence (BI) Tools: Microsoft Power BI, Google Looker Studio (Data Studio), and Tableau.

Microsoft Excel Analytics: Power Pivot, Pivot Table, Pivot Chart, and Power Query.

Databases: Microsoft SQL Server Management Studio, Teradata, Databricks, and Snowflake.

Cloud Infrastructures: AWS Data Lab, AWS Workspace, Microsoft 365 Cloud PC, and ServiceNow.

Generative AI (GenAI): OpenAI ChatGPT, Google Gemini, Perplexity AI, Microsoft Copilot, FOSFOR AI, and Notion AI.

Productivity: Google Workspace, Microsoft 365, Apple iWork, Atlassian, Quip, Slack, Wrike, and GitHub Enterprise.

Creativity: Canva, Adobe Express, Adobe Firefly, Microsoft Designer, Midjourney, and Miro.

Foresight: Microsoft Fabric, Google Marketing Platform, Framer, Figma, and Adobe Creative Cloud.


Corporate and Social Responsibilities 🏃🏻

Diverse Event Coordination: Directed technical workshops and New Product Introduction events.

Industry Conference Participation: Google I/O, Microsoft Build, Apple WWC, Samsung SDC, CES, and Adobe Summit to stay current.

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Certifications 🚀

Forage Job Simulations

BCG X | British Airways | Cognizant | JPMorgan Chase | PwC | Quantium

Google

Google Cloud Public Profile

Edvancer

Data Scientist - Post Graduate Certification in Data Science and Artificial Intelligence

DataCamp

Python Intermediate | Data Analysis in Excel

Data Cleaning in Python | Data Manipulation with Pandas | Exploratory Data Analysis in Python

LinkedIn Learning

Machine Learning ( Scikit Learn ) | Power BI | DAX

Python Object Oriented Programming | Advance Python | Python for Automation | Predictive Analytics

Applied Machine Learning Foundations | Applied Machine Learning Algorithms | Artificial Intelligence Foundation Machine Learning

NLP with Python for Machine Learning

Kaggle

Python | Pandas

Great Learning

Data Visualization using Python | Python for Machine Learning

365 Data Science

The Python Programmer Bootcamp

Edureka

Artificial Intelligence and Machine Learning Workshop

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Education 🎓

Postgraduate in Data Science and Artificial Intelligence, Edvancer (IIT-IIM Venture), Mumbai, 2020

Bachelor of Engineering, Computer Engineering, University of Mumbai, 2017

Higher Secondary School Certificate 12th, University of Mumbai, 2013

Secondary School Certificate 10th, University of Mumbai, 2011

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Kirankumar

Learn, Implement and Share

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  1. Algorithms Algorithms Public

    Machine Learning with Scikit Learn

    Jupyter Notebook 1 1

  2. Applied-Machine-Learning Applied-Machine-Learning Public

    Applied Machine Learning ( End to End ) Classification Models

    Jupyter Notebook

  3. SQL SQL Public

    Structured Query Language

  4. Library Library Public

    Data Science | AI | ML | NLP | OpenCV | Python | Statistics | SQL

    1

  5. BCGX BCGX Public

    BCG Gamma

    Jupyter Notebook

  6. Matplotlib Matplotlib Public

    Matplotlib Library, Toolkits and Visualizations

    Jupyter Notebook 1