Skip to main content

Posts

Business Analyst Roles & Responsibilities

Roles and Responsibilities of a Business Analyst 1. Requirement Gathering and Analysis: Collaborate with stakeholders to gather, document, and analyze business requirements. Use techniques such as interviews, workshops, and surveys to ensure clear understanding. 2. Stakeholder Communication: Act as a bridge between business stakeholders and technical teams. Ensure alignment of project goals with business objectives. 3. Documentation: Prepare business requirement documents (BRDs), functional requirement documents (FRDs), and user stories. Maintain traceability matrices for tracking requirements. 4. Process Improvement: Analyze existing business processes and identify areas for improvement. Recommend solutions to optimize efficiency and reduce costs. 5. Solution Design and Validation: Work with development teams to design solutions that meet business needs. Validate solutions through testing, including user acceptance testing (UAT). 6. Data Analysis and Reporting: Analyze dat...

LLM KRL English to Tamil Version 1 - Bert model used

  In Kaggle Notebook Published Here   import pandas as pd import torch from sklearn.model_selection import train_test_split, KFold from sklearn.metrics import accuracy_score, f1_score, confusion_matrix, mean_squared_error, roc_auc_score, precision_recall_curve, auc, roc_curve from transformers import AutoTokenizer, AutoModelForSequenceClassification, Trainer, TrainingArguments, EarlyStoppingCallback import numpy as np import matplotlib.pyplot as plt import random # Expand dataset with 100 samples by duplicating and adding slight variations sample_data = {     "text_english": [         "I am very happy to meet you", "I am disappointed with your work",         "You have done an excellent job, well done", "This is not good, I expected better",         "Thank you very much for your support", "I don't like your attitude",         "I'm grateful for your guidance", "Your work lacks quality", ...

LLM KRL Model Sample usecase Google Gemma English to Tamil translation with LLM Respect Language models LLM_KRL models

​​To develop a multi-level contextual classification model for English-to-Tamil sentiment analysis, incorporating Google's Gemma models can enhance performance, especially for Tamil language processing.​​ Here's a structured approach: 1. Data Preparation: Dataset Creation: ​​Compile a dataset containing English sentences, their Tamil translations, sentiment labels (positive/negative), and, for positive sentiments, an additional label indicating respect.​​ Example Data Structure: ​​| English Text                              | Tamil Translation                              | Sentiment | Respect (if Positive) | |-------------------------------------------|------------------------------------------------|-----------|-----------------------| | I am very happy to meet you               | உங்கள...

Top 100+ Techniques for Verbal Ability & Reading Comprehension (VARC) - CAT Exam

I. Reading Comprehension (RC) Techniques 1. Skim First, Read Later: Quickly skim the passage to get a general idea before diving into details. 2. Identify the Main Idea: Focus on the overall theme of the passage. 3. Look for Transition Words: Words like However, Thus, Therefore signal shifts in arguments. 4. Understand the Author’s Tone: Identify whether it is analytical, critical, optimistic, etc. 5. Focus on Opening & Closing Sentences: These often contain key information. 6. Analyze Passage Structure: Determine whether the passage follows an argumentation, cause-and-effect, or comparison structure. 7. Underline Keywords: Underline or note important facts and figures while reading. 8. Read Paragraph by Paragraph: Break the passage into manageable sections. 9. Map the Passage: Create a mental map of the passage to remember key points. 10. Identify Factual vs. Inferential Information: Recognize what’s stated explicitly vs. implied. 11. Avoid Assumptions: Base ...

CAT Exam preparation

CAT Exam Preparation Coherent Plan 1. Understand the CAT Exam Structure    - Sections: CAT has three sections:      1. Verbal Ability & Reading Comprehension (VARC)      2. Data Interpretation & Logical Reasoning (DILR)      3. Quantitative Aptitude (QA)    - Duration: 2 hours (40 minutes per section)    - Marking: +3 for correct answers, -1 for incorrect answers (MCQs only), no negative marking for non-MCQs. 2. Preparation Timeline & Schedule Phase 1: Build Foundations (Months 1-2)    - Focus on strengthening the basics in each section.    - Quantitative Aptitude: Cover topics like arithmetic, algebra, geometry, and number systems.    - Data Interpretation & Logical Reasoning: Practice different types of puzzles, data sets, and logical reasoning exercises.    - Verbal Ability & Reading Comprehension: Start reading newspapers, editorials, and...

TOP 10 IIM Programs for Part time & Merit + Scholarships

Eligibility for Part-Time MBA Programs Most of the top IIMs offering part-time MBA programs accept CAT scores as a key part of their admission criteria. However, some programs also consider scores from GMAT, GRE, or the institute's own entrance exam. Here’s an overview: 1. Eligibility Criteria:    - Work Experience: Generally, candidates need to have a minimum of 3-5 years of work experience to be eligible for part-time programs.    - CAT/GMAT/GRE Scores: Many programs require a valid CAT score, while others accept GMAT or GRE.    - Bachelor’s Degree: A minimum of 50% marks in the undergraduate degree is usually required. There are relaxed criteria (45%) for SC/ST/PwD candidates. Free Merit-Based Scholarships While part-time programs at IIMs do not typically offer full merit-based scholarships, there are financial aid and fee concessions available, including: 1. Merit-Based Scholarships:    - IIMs usually have scholarships for full-time progra...