Himanshu Y
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
DATA ANALYST Preferred Title
$15.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.2
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 23h PST, 23h UTC
- Software Engineering Process 3.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 3.0/5
- Logical Thinking 3.0/5
- Technical Strength 3.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 3.0/5
- English Communication 4.0/5
- Documentation 3.0/5
- Desktop Linux
- Phone Android
- Member Since Aug 23, 2021
- Profile Last Updated Aug 19, 2021
- Last Activity Jan. 1, 2022, 1:50 p.m. UTC
- Location India
- Current Status Student
Profile Summary
Reliable and energetic Data Science Enthusiast, with experience in data analytics and Machine learning. Also has a solid understanding of fundamental data structures and algorithms. Skilled with modern data science techniques and programming languages such as C++ and Python and statistical tools which will be useful in the workspace. Able to take challenges and dive into the research to come up with the solution.
Skills
Total Experience: 1 years
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 23h PST, 23h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
16 - 20
17 - 20
17 - 20
17 - 20
17 - 20
17 - 20
16 - 20
PST
09 - 13
10 - 13
10 - 13
10 - 13
10 - 13
10 - 13
09 - 13
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- English Communication
- Documentation
Experience
Data analyst
Internship
Apr 2021 - Jun 2021
Quantium Company
Arts and Entertainment Industry
Project: Data Analytics Virtual Experience Program
- I used Microsoft Excel in the beginning of the project, mainly to clean data and correct the data formats. Pandas data frames were used for rest of the analysis, used Numpy for faster computation.
- Performed data wrangling and analysis of data to determine the most effective and efficient driver for sales revenue. Derived some extra features such as pack size and brand name from the data.
- Defined statistical metrics for measurement of various combined features. Then used them to select the control store for each of the trial stores.
- I had to take the help of statistical tools eg - correlation, Hypothesis testing, t-test etc. to get the job done.
- Finally prepared a report to present the result of the analysis and recommendations to the manager and matplotlib helped me to make nice visuals for the report.
Data Analyst
Internship
Nov 2020 - Dec 2020
The Sparks Foundation Company
Arts and Entertainment Industry
Project: Retail Data Analysis
- I worked on a retail data set to figure out the reason for the loss in revenue for the firm and performed basic data exploration and visualization.
- I used statistics such as central tendency and dispersion, methods to understand the nature of the data.
- I used numpy and pandas for the programming part.
- Heavily used matplotlib and seaborn to create some visuals of the data, so that it becomes easy to understand for others.
Qualifications
Education
Indian Institute of Technology, Roorkee
Jul 2019 - Jun 2023
B.Tech