The Essential Daily Routine for Job Seekers in 2025
Hey job seekers and fellow immigrants, Job hunting can be tough, but having a solid daily routine makes a huge difference. Stay focused, keep building your skills, and put yourself in front of the right people. In this article, I’m sharing what’s worked for me based on my own experience. Hope it helps!
AI-Generated Prompt Derived from Human Labels
Implementing GenAI-Generated Text Classification Labels Based on Human-Labeled Ground Truth to Ensure High-Quality Labels from the First Iteration.
Breaking into Product from Consulting: A Personal Journey
After 3.5 years as a consultant, where I drove AI and data science solutions, I transitioned six months ago to a product insights team. This article explores my journey and the lessons I learned during the shift.
Integrating Generative AI with Human Expertise
As organizations integrate Gen AI more deeply, it’s essential to determine the right level of human oversight. This blog discusses finding the balance between AI’s capabilities and human insight.
Zero-Shot Learning and Human Analogical Reasoning!
I was inspired by the striking resemblance between this concept and how ML algorithms tackle zero-shot learning (ZSL) methods. I want to share the lightbulb moments and insights with you here!
Unlocking Document Intelligence: E2E Azure-Powered Chatbot with Vector-Based Search (Part 2 — Q&A)
Querying the existing vector store from (Part 1 — Embedding) using the natural language questions that drive the heart of our document processing pipeline.
Unlocking Document Intelligence: E2E Azure-Powered Chatbot with Vector-Based Search (Part 1 — Embedding)
Embark on a remarkable journey into document processing. Delve into the development of a robust document embedding mechanism and the creation of a vector store, setting the stage for streamlined and optimized querying.
Build Your First Generative AI Chatbot
Learn how to integrate a pre trained LLM with your database to build a chatbot for efficient domain-specific query responses.
Set Operations on Python DataFrames
We often perform join, union, difference, intersection, etc. operations between Python DataFrames. Throughout my data science journey, Understanding the concepts of Set Theory has helped me perform these tasks efficiently. In this article, I would like to use the set theory to implement DataFrame operations.
NLP Use Case With AWS Comprehend
This article covers concepts of Natural Language Processing and how to derive insights from text data using the components of AWS Comprehend.
AWS Certified Machine Learning Specialty — Resources and Experience
This article covers my experience in getting certified with AWS Certified Machine Learning — Specialty, and I have shared the resources and cheat sheets, which helped me understand concepts!
One Year as Data Analytics Consultant— What's Unique About It?
This article covers my experience at Slalom as an Associate Consultant in the Data & Analytics practice. Previously, I worked in an R&D company as an in-house Data Scientist.
5 Reasons to Start Journaling Today!
Journaling has been an effective method to clear my mind and share my thoughts! On and off, I have been journaling for almost seven years, and it has helped me organize my thoughts into actions and unclutter my mind. Sharing my experience of journaling and how it has helped me to think clearer. Happy reading!
Advanced Project Ideas for Data Science Graduates/Enthusiasts to Ease Their Job Search
Data science is an immense field. It can go from placing salsa near chips in a local shop to a Mars rover! I will share a few project ideas to enable you to do more realistic projects that are best suited for the current technology and business scenario.
Data Science Job Search —
What worked for me?
Based on my job search experience, I would like to share some of the not-so-popular techniques to ease the job search and get interviews
Ways to Evaluate Regression Models
The very naïve way of evaluating a model is by considering the R-Squared value. Suppose if I get an R-Squared of 95%, is that good enough? Through this blog, Let us try and understand the ways to evaluate your regression model.
Publish Python Project Documentation on Confluence/HTML using Sphinx
In this article, We will look into the file documentation generated by Sphinx. This documentation generator can create .pdf, .HTML, or publish the technical documentation page to a Confluence instance.
Entire Application and Admission Process for Master’s in the USA
I would like to explain the entire procedure of doing a master’s in the USA. It’s from the perspective of an Indian student. (Wrote on Jan 2019)
Scatter correction and outlier detection in NIR spectroscopy
Recent advancements in the field of AI have given rise to the integration of NIR sensor data and machine learning techniques to achieve the results. In this article, The NIR sensor is interfaced with a PC and the samples were scanned. We performed ten scans per each sample with ten seconds scan time to reduce the errors and include all the parts of the sample. In our case, the scan results were scattered and, we had outliers due to change in the light, working distance and human errors during the scanning. To reduce the scattering and to eliminate the outliers, we implemented Multiplicative Scatter Correction (MSC) and Standard Normal Variate (SNV) on near-infrared (NIR) data.