Md Danish Iqbal

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Data Scientist | Data Engineer | Data Analyst | Data Visualization | Database

Woolf University, San Francisco, California

Master of Science in Computer Science: Artificial Intelligence and Machine Learning (2022-2023)
Foundational Modules: Relational Databases
Tier Two: Courses in Artificial Intelligence and Machine Learning Applied Statistics, Numerical Programming in Python, High Dimensional Data Analysis, Introduction to Deep Learning, Deep Learning for Computer Vision, Productionization of Machine Learning (ML) systems, Deep Learning for Natural Language Processing (NLP), Statistical Programming, Data Visualization using Tableau, Introduction to Problem-Solving Techniques: Part 1 & Part 2
CGPA: Pursuing (2022-2024)

Aliah University, Kolkata

Bachelors of Technology in Computer Science and Engineering(2013-2015)
Majors : Introduction to Programming, Foundation of Computer Science, Database Management Systems, Object Oriented Programming, Data Structure and Algorithm, Operating Systems, Applied Mathematics, Computer Graphics, Compiler Design, Computer Organisation and Architecture, Computer Network
CGPA 7.58/10

Kankinara Himayatul Ghurba High School (H.S.), Bhatpara, West Bengal

ISCE - X(2013)
Majors : Mathematics, Physics, Chemistry, Biology, Computer App., History/Civics, Geography, English, Bengali
sCum. percent : 74/100

System Engineer: TCS

  • Duration - Oct,2020 - Present
  • Firm-level application testing - Test plan creation, test case preparation, test execution, and bug reporting. Performed Functional testing, Regression testing and provided valuable suggestions to improve the app
  • Customer Link (PwC product) testing - Performed Functional testing in a Big Data environment
  • USA Health care company Mobile App testing - Performed Mobile testing (Android & iOS), Simplified the management of development and testing process using Service Virtualization

Data Science Intern:CustomersFirstNow

  • Duration - 2 Months (May- Jun 2019)
  • Text Mining - Scraped reviews of US Healthcare industry using BeautifulSoup and Selenium
  • Natural Language Processing - Applied Sentiment Analysis to the review data-set for understanding customer pain points using Python libraries like NLTK, Genism, Scikit-Learn.
  • Topic Modelling and Manual theme tagging

Networking Intern: National Informatics Centre

  • Networking basics and concepts
  • Learned the use of various networking hardware resources
  • Cisco Packet Tracer for Network Visualization
  • Data collection from various departments regarding network issues
  • Diagnosis and troubleshooting for a network in computer systems

My Skills

Languages

Java, Python, SQL, JavaScript, HTML/CSS

Tools

Selenium, Postman, ReadyAPI, Jira, Jupyter Notebook, SSMS, GitHub, Perfecto, Android Studio, DevTest Workstation

Skills

Functional & Regression Testing, Mobile Testing, Machine Learning, Cloud Services, Data Analysis & Visualization

Personal Projects

Location finder for new hotels

Uses Data Science and Unsupervised Machine Learning (Clustering Algorithm) to find favorable and feasible locations for building new hotels

Hate Speech Detection in Social Media

Detect hate speech and classify twitter texts using NLP techniques and Machine Learning

Understanding Customer Pain Points using Text Mining

Using Sentiment Analysis to understand Customer Satisfaction in US Healthcare Industry

To-Do Application using Flask

A simple to-do web application to feed your daily reminders,update and delete them. Uses database for storage of your tasks.

Youtube Voice Command

Automated application that uses your voice command like "Search Javascript" and opens up the first video in Youtube Search results

Youtube Comments Spam Detection

A Flask based Web Application integrated with Machine Learning to classify YouTube Comments as Spam or Not-Spam

AWS Certified Cloud Practitioner

Skills : AWS, Cloud Platform, Cloud Computing, Cloud Services

Microsoft Certified: Azure Fundamentals

Skills : Azure, Cloud Data, Cloud Networking, Cloud Services, Cloud Security, Cloud Storage, Virtualization

Microsoft Certified: Azure Data Fundamentals

Skills : Azure, Azure Cosmos DB,Azure Data Analyst,Azure Database Administrator, Azure Databricks, Azure Data Engineer, Azure Data Warehouse, Azure SQL Database, Azure SQL Data Warehouse, Azure Synapse Analytics, Data Analytics, Data Processing, Data Visualization, MariaDB, MySQL, PostgreSQL, Power BI, SQL Server On Azure Virtual Machines

IBM Data Science Professional

Skills : Classification, Clustering, Data Analysis, Data Visualization, Folium, IBM Cloud, Machine Learning, Matplotlib, Pandas, Python, Recommender Systems, Seaborn, SQL

Customer Feedback Analyzer

International Journal of Engineering & Advanced Technology

Product reviews always act as a great source of information for a company. These reviews record the customer’s feedback on the product and services that the company provides. The problem that we face is that the number of reviews in these kinds of portals are in thousands for which manual analysis is time-consuming and inefficient. So, we plan to make an automated system using machine learning which can do the job of analyzing a large number of comments in seconds thereby increasing efficiency.

Web Scraping Multiple Webpages of a Website

A data scientist must go through the pain of finding data. But just finding the data isn’t enough, there are changes that must be made to the data so that it can be used for practical purposes. In this article, i will show you how challenging it can be to gather data. We will also learn how to deal with such problems

Video Streaming in Web Browsers with OpenCV & Flask

You took the trouble of installing a webcam or a surveillance camera at your home, or office, or any place that you own. Obviously, you would want to be able to watch the live stream of the video anyplace and anytime you like. So how do you use your web browser to view the live streaming?

Get in touch

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