BLOGS

Unveiling the Power of Blogging: A Gateway to Expression, Evolution, and Knowledge

Navigating IT Staffing: Challenges And Solutions
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Navigating IT Staffing: Challenges And Solutions

In today's fast-paced world of IT staffing, the old-fashioned idea of employees sticking with one company for their entire career is a thing of the past. Many factors now drive candidates to switch from one company to another. These reasons range from the appeal of better pay, designation, and more desirable job locations to dissatisfaction with their current wor read more..
HOW TO GET MOTIVATED TO ACHIEVE A GOAL
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HOW TO GET MOTIVATED TO ACHIEVE A GOAL

Do you struggle to find what drives you at times? You have this big goal you want to achieve, but for one reason or another you just can't seem to get yourself motivated. You're fraught to find the motivation you need to take inspired action towards the significant goal. As a result, your kind of feel as though your life is stagnating. You feel stuck and kind of unable to move forward. Inside t read more..
HOW TO HAVE A PRODUCTIVE DAY
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HOW TO HAVE A PRODUCTIVE DAY

Do you get easily sidetracked throughout the day? Typically, things start off quite well. You're focused and work quite productively, but at some point, everything just falls apart. Instead of focusing on your work you end up indulging in little distractions and pleasures that keep your brain entertained. It's the end of the day, and you look back and wonder how on earth you managed to get so l read more..
AN INTRODUCTION TO MACHINE LEARNING
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AN INTRODUCTION TO MACHINE LEARNING

ML is actually a lot many things. The field is quite vast and is expanding rapidly.Machine Learning is the subfield of Computer Science that gives computers the ability to learn without being explicitly programmed. (Arthur Samuel,1959)By means of algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being obviously progr read more..
K means Learning Algorithms Using R & Python
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K means Learning Algorithms Using R & Python

We have seen Gradient decent using R & Python before now let us try a clustering algorithm with R & Python. I will briefly introduce the K means and the steps involved in it and implement these steps in both R & Python. K - means algorithm K-means is one of the simplest unsu read more..
FEW ALTERNATIVES WHICH WILL MAKE YOU SOUND SMARTER. WORKS BETTER IF YOU ARE ALREADY SMART.
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FEW ALTERNATIVES WHICH WILL MAKE YOU SOUND SMARTER. WORKS BETTER IF YOU ARE ALREADY SMART.

Have you ever thought about the time when you could see the finish line onto whichever thing you were doing which required verbal skills, but some words were repeated and nothing happened and all was back to start? This will help you speak beautifully. Be it on phone, one-on-one, in group or most significant prospects which are interviews, meetings, recruiting or, whilst pitching a new client.< read more..
Data Science: All you need to know
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Data Science: All you need to know

A multidisciplinary fuse of data inference, algorithm development, and technology to solve analytically complex problems is known as Data science.Data science is eventually about using this data in creative ways to generate business value.Data Science is divided into two sub plots.1.Discovery of data insight which helps quantitative data analysis to help steer strategic read more..
R AND PYTHON: GRADIENT DESCENT
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R AND PYTHON: GRADIENT DESCENT

My previous blog, I presented syntactical differences and similar functions between R & Python. Now, I want to take it to next level and write some machine learning algorithms using both R and Python. Here, one may use direct functions from the packages available. However, here I am presenting the way to write your own functions for algorithms. In this series, I am starting with Gradient de read more..
How to Source Candidates Like a Pro: Advanced Sourcing Strategies for Recruiters
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How to Source Candidates Like a Pro: Advanced Sourcing Strategies for Recruiters

In the realm of talent acquisition, addressing specialized requirements can be a daunting task. The frustration of not finding candidates who align perfectly with your client's needs is all too familiar. While traditional job portals like Monster, Dice, and Career Builder have been the go-to platforms, the question remains: How can we source candidates more ef read more..
MASTERING EMAIL ETIQUETTE: 10 KEY CONSIDERATIONS FOR EFFECTIVE COMMUNICATION
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MASTERING EMAIL ETIQUETTE: 10 KEY CONSIDERATIONS FOR EFFECTIVE COMMUNICATION

For a considerable amount of time, many have predicted the demise of email. While it's true that we now use various forms of communication, such as messaging, video calls, and social media, to interact with friends and send quick messages to colleagues, email still holds a critical role, especially in professional communication and job applications. The import read more..
Battle of the Programming Languages: R vs Python
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Battle of the Programming Languages: R vs Python

We are going to compare Functions exist in both R and Python for same operations. And for this we took the Titanic dataset which contains the Passenger details.Importing a CSVReading Data in both the languages is similar, but the only difference is for python we have to import pandas library for reading the Data. Once the importing is done we can look into the data read more..
Retail banking classification models
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Retail banking classification models

Now days the retail banking is one of the important business in banking sector, to improve the customer base, retain the existing customer, improve the banking revenue by offering different product to customer.Today's world is digital, data is raising like population and you have to identify different customer in term of market opportunity, their risk and profit for bank.Of co read more..
Key of Developing R Code: Batch Forecasting
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Key of Developing R Code: Batch Forecasting

Forecasting is a common technique used in several companies to make predictions for the future. There are multiple methods of forecasting such as time series forecasting, multivariate forecasting, etc. In each of these methods there are techniques such as Moving Average (MA), ARIMA, ARMA, ARCH, GARCH, etc.There are several packages and algorithms available for forecasting in every d read more..
R Package dplyr Comparison of functions
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R Package dplyr Comparison of functions

In R, you can accomplish the same task in different ways.This R document explains functions from R package--dplyr and in some places compares those functions with base functions.   # import dplyr library# we are going to work with R in built dataset airqualitylibrary(dplyr)head(airquality)   read more..
Avoid These Four Common Resume Mistakes and Boost Your Career Opportunities
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Avoid These Four Common Resume Mistakes and Boost Your Career Opportunities

Having spent years reviewing countless resumes, initially as a General Manager overseeing operations for multinational corporations and more recently as a Business Development professional at Rang Technologies in the Recruiting and Staffing industry. I've noticed a recurring pattern of avoidable mistakes that executive candidates make. These missteps often cos read more..
PATIENT PROFILE AND PATIENT SAFETY NARRATIVES
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PATIENT PROFILE AND PATIENT SAFETY NARRATIVES

Patient profile is a listing of all (or selected, sometime) data for individual subject in clinical study organized by time. Subject can be patient or healthy volunteer, though it is referred as Patient Profiles. Patient profiles are optional in submission to FDA.However, patient profiles were recommended to submit in pdf file in CRT (Case Report Tabulation) to FDA previously (as pe read more..
Analytics Careers with SAS & R - Part 2
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Analytics Careers with SAS & R - Part 2

It's been a month and what a month it has been! The new year is here already! One wonders where all the time has gone! I hope you also wonder on how far you have come in the process of learning and equipping yourself towards a successful career and life and take pride in it! This 'present' day's effort will grant you the 'gift' of future!When we last communicated, we spoke of where read more..
Analytics careers using SAS and R : Part-1
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Analytics careers using SAS and R : Part-1

Wikipedia describes Analytics as "the discovery and communication of meaningful patterns in data." This comes in handy especially in areas rich with recorded information. Every day companies all over the world collect data about their customers and industries, simply as a routine activity during business transactions.World-class firms use this collected data and leverage on analytic read more..
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