KIRANKUMAR YADAV

Experience

Education

Professional Skills

• Core: Data Science, Machine Learning Operations (MLOps), Business Intelligence (BI), and Artificial Intelligence (AI).
• Python for Data Science: Exploratory Data Analysis (EDA), Data Cleaning, Data Preprocessing, and Data Visualization.
• Data Science Environment: Anaconda and Jupyter Notebook Interface.
• Source Code Editor: Microsoft Visual Studio Code, JetBrains PyCharm, and JetBrains Fleet.
• Python libraries: Pandas, NumPy, Matplotlib, Seaborn, Bokeh, Plotly, Scikit Learn, etc.
• Business Intelligence: Microsoft Power BI, DAX, Tableau, and Google Data Studio.
• Microsoft Excel Analytics: Power Pivot, Pivot Table, Pivot Chart, and Power Query.
• Databases: Microsoft SQL Server Management Studio, MySQL WorkBench, Teradata, and Snowflake.
• Cloud Infrastructures: AWS Data Lab, SAP Data Intelligence, and Simcloud (Apple Inhouse Tool).
• Generative AI: OpenAI ChatGPT, Google Gemini, Bing AI, Microsoft Copilot, and Notion AI.
• Creativity: Canva, Adobe Express, Adobe Firefly, Microsoft Designer, and Midjourney.
• Website Design and Development: HTML, CSS, JavaScript, Bootstrap and Markdown.
• Foresight: Microsoft Fabric, Google Marketing Platform, Framer, Figma, and Adobe Creative Cloud.

Prouctivity

• Google Workspace: Collection of productivity and collaboration tools, software and products developed by Google.
• Microsoft 365: Product family of productivity software and cloud-based services owned by Microsoft.
• Apple iWork: Office suite of applications created by Apple Inc. for its macOS and iOS. (Pages, Numbers and Keynote)
• Generative AI: ChatGPT, Google Gemini, Perplexity AI, Consensus AI, Adobe Firefly, Microsoft Designer, etc.
• Atlassian: Collaboration software like Jira and Confluence helps teams to organize, discuss, and complete shared work.
• Salesforce Quip: Combining documents, spreadsheets, and real-time conversation to boost team productivity.
• Notion: Workspace that adapts to your needs. A minimal and powerful project management tool.
• Wrike: Versatile project management and the fastest way to productivity by working as one.
• Miro: Visual collaboration platform to connect, collaborate, and co-create in one space no matter where they are.
• Google AI, Generative AI, Duet AI, Microsoft AI, Prompt Engineering and Microsoft 365 Copilot.

Interests

• Apart from Data Science, Machine Learning Operations (MLOps), Business Intelligence (BI), and Artificial Intelligence (AI),
• I actively participate in Google I/O, Microsoft Build, Apple WWDC, Samsung SDC, CES, and Adobe Summit to stay up to date.
• I enjoy exploring operating systems and digital device user interfaces to optimize the user experience.
• I have a great interest in experimenting with productivity, creativity, utility and applications.
• Discovering the limitless possibilities of those application features and contributing my feedback to help make it even better.
• I actively participate in early access programs (Experiments, Preview, and Beta versions) for new applications and operating systems updates to provide productive feedback on new features, usability, and accessibility.

Certifications

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

• Predictive Analytics | Machine Learning (Scikit Learn) | Power BI | DAX
• Python Object Oriented Programming | Advance Python | Python for Automation
• NLP with Python for Machine Learning

• Python | Pandas

• The Python Programmer Bootcamp

• AI and Machine Learning Workshop