· Internship

 · Part-time

 Skills: Microsoft Excel · Data Modeling · Extract, Transform, Load (ETL) · Dax Queries · Data Visualization · Microsoft Power BI 

 · Internship

 Skills: Apache Spark · Python (Programming Language) · SQL · Jupyter Notebook 

· Internship

 PROJECT :- To carry out "Lift & shift" Operation of a reputed MNC to Azure Cloud Platform. Deploy and Maintain various tools and services for efficient functioning of their Operations.

Completed 2 months of extensive internship at Microsoft on their latest cloud technology Azure.
Worked alongside Data engineers/ Azure developers to perform wide range of Iaas, Pass, Saas operations on cloud.
Creation and maintenance of various Azure services like virtual machines, app service, Databricks, ML studio, Synapse studio etc.
Used in demand tools like Data lake, CosmosDB, Key vault, Event hubs ,HTAP to meet goals,demands and client requirements.PROJECT :- To carry out "Lift & shift" Operation of a reputed MNC to Azure Cloud Platform. Deploy and Maintain various tools and services for efficient functioning of their Operations. Completed 2 months of extensive internship at Microsoft on their latest cloud technology Azure. Worked alongside Data engineers/ Azure developers to perform wide range of Iaas, Pass, Saas operations on cloud. Creation and maintenance of various Azure services like virtual machines, app service, Databricks, ML studio, Synapse studio etc. Used in demand tools like Data lake, CosmosDB, Key vault, Event hubs ,HTAP to meet goals,demands and client requirements.

• Skills: Microsoft Azure · Azure Data Lake · Azure DevOps · Azure Databricks · Azure Active Directory · Microsoft Azure Machine Learning · Azure Data Factory

 · Internship

 PROJECT :- BUILD AI BASED FAKE NEWS DETECTOR APP.

In this machine learning project, we build a classifier that detects whether the news is fake or not.

This is a binary classification problem. We preprocess the text data from our dataset using TF-IDF Vectorizer. We apply the Multinomial Naive Bayes algorithm to the preprocessed text and train and evaluate our model on the dataset.

We learned to detect fake news with Python. We took a Fake and True News dataset, implemented a Text cleaning function, TfidfVectorizer, initialized Multinomial Naive Bayes Classifier, and fit our model. We ended up obtaining an accuracy of 95.31% in magnitude.PROJECT :- BUILD AI BASED FAKE NEWS DETECTOR APP. In this machine learning project, we build a classifier that detects whether the news is fake or not. This is a binary classification problem. We preprocess the text data from our dataset using TF-IDF Vectorizer. We apply the Multinomial Naive Bayes algorithm to the preprocessed text and train and evaluate our model on the dataset. We learned to detect fake news with Python. We took a Fake and True News dataset, implemented a Text cleaning function, TfidfVectorizer, initialized Multinomial Naive Bayes Classifier, and fit our model. We ended up obtaining an accuracy of 95.31% in magnitude.

• Skills: Machine Learning · Artificial Intelligence (AI) · Artificial Neural Networks · Natural Language Processing (NLP) · Computer Vision · Robotic Process Automation (RPA)

· Full-time

 Project 1
--------------

Worked for a client on software development deliverables day to day activities included following--

1.Participate in requirements analysis
Collaborate with internal teams to produce software design and architecture

2.Write clean, scalable code using .NET programming languages

3.Test and deploy applications and systems
Revise, update, refactor and debug code
Improve existing software

4.Develop documentation throughout the software development life cycle (SDLC)

5.Serve as an expert on applications and provide technical support

Project 2
---------------

Big Data technology project

1.defining reporting standards,
developing reporting tools and data access tools,

2.constructing interactive dashboards,
developing data visualization tools,

3.implementing OLAP cubes,

4.Testing warehouse architecture,
validating data,
testing user interface, and

5. Testing data querying process.Project 1 -------------- Worked for a client on software development deliverables day to day activities included following-- 1.Participate in requirements analysis Collaborate with internal teams to produce software design and architecture 2.Write clean, scalable code using .NET programming languages 3.Test and deploy applications and systems Revise, update, refactor and debug code Improve existing software 4.Develop documentation throughout the software development life cycle (SDLC) 5.Serve as an expert on applications and provide technical support Project 2 --------------- Big Data technology project 1.defining reporting standards, developing reporting tools and data access tools, 2.constructing interactive dashboards, developing data visualization tools, 3.implementing OLAP cubes, 4.Testing warehouse architecture, validating data, testing user interface, and 5. Testing data querying process.

• Skills: Microsoft Azure

 I am a highly competent IT professional with a proven track record in designing websites, networking and managing databases. I have strong technical skills as well as excellent interpersonal skills, enabling me to interact with a wide range of clients. I am eager to be challenged in order to grow and further improve my IT skills. My greatest passion is in life is using my technical know-how to benefit other people and organisations. I have a keen interest in Software technology. I have relevant software skills in various domains and on the basis of current trends, updating my knowledge and skills.