About Me

Hello there, I’m Manish Tripathi, and I have a passion for crunching numbers and uncovering insights. Currently, I hold the position of Lead Market Analyst at SkillGigs.com, where I assist tech talent in realizing their dream careers. My professional journey includes an 11-year tenure as a Research Associate at S&P Global, where I conducted research across various sectors and markets, enhancing data operations.

Education

I hold a diverse educational background:

• Advanced Management Programme in Business Analytics from the Indian School of Business. During this program, I acquired skills in various areas, including:

  • Python (Programming Language)
  • Microsoft Power BI
  • Datasets
  • Long-term Vision
  • Presentation Skills
  • Dashboards
  • SQL
  • Statistical Analysis
  • Analytical Skills

• Post Graduate Diploma in Management from the Institute of Management Technology, Nagpur, with a concentration in Finance and Human Resource.

• Bachelor of Mathematics degree from St. Xavier’s College, Mumbai.

My Passion

While my education and work history are important, my true enthusiasm lies in acquiring new skills and exploring emerging technologies, particularly in the realm of natural language processing and machine learning. I have undertaken numerous online courses and earned certifications in these areas. Additionally, I derive immense pleasure from delving into technical literature and articles on these subjects. You can explore some of my published works on my personal website or my LinkedIn profile.

My Projects

Project 1: Python Customer Segmentation & Clustering

In this project, I employed K-Means Clustering and Agglomerative Clustering techniques to segment customer data based on their Annual Income and Spending Score. Explore the dataset.

Project 2: Extracting Data from API

This project revolves around fetching news using APIs from newsapi.org.

Project 3: Scraping Naukri.com for Information Technology Jobs in Hyderabad

Gathering primary data for data science projects can be costly and time-consuming. This project aims to identify companies in Hyderabad that are hiring for Information Technology roles and the skills they require. I accomplished this by scraping Naukri.com. You can find the resulting dataset here.

Project 4: Classifying Water Safety with XGBoost

This project deals with classifying whether water is safe for drinking using the powerful XGBoost classifier. The dataset contains information about various ingredients in water, and the goal is to predict water safety. Learn more.

Project 5: Natural Language Processing Using Hugging Face Library

Embark on a journey of learning Natural Language Processing with ease. I explored Natural Language Processing with Transformers, a technology that simplifies complex tasks such as sentiment analysis, translation, and more with just a single line of code. To dive deeper into this field, check out the book Natural Language Processing with Transformers. The code for the book is available on GitHub.

Project 6: Creating Custom Datasets from Wikipedia with Python

Data is the foundation of any data science project. In this notebook, I demonstrate how to create custom datasets from Wikipedia using Python and Pandas, utilizing the read_html function. You can also watch a video tutorial on this topic by Rob Mulla, Kaggle Grandmaster, available on his YouTube Channel.

Project 7: Scraping Euronext for IPOs

This project involves writing a Python script to scrape IPO listing data from Euronext’s IPO Showcase page. The script automatically navigates through multiple pages to collect data on IPO dates, company names, and links to individual IPO details. This data is then structured into a Pandas DataFrame for easier analysis and manipulation. Explore the Notebook.

For more updates, connect with me on LinkedIn.