Gargi M
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 Scientist Preferred Title
$43.75 /hr $ 70.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.7
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 10h PST, 22h UTC
- No. of Onboarding MCQs Completed 3
- Code Quality 1 attributes More details
- Software Engineering Process 4.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 4.0/5
- Logical Thinking 4.0/5
- Technical Strength 4.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 4.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 4.0/5
- English Communication 5.0/5
- Documentation 3.0/5
- Desktop Windows
- Phone Android
- Tablet Android Tablet
- Member Since Feb 23, 2023
- Profile Last Updated Apr 30, 2024
- Last Activity July 5, 2024, 7:07 a.m. UTC
- Location India
Profile Summary
I am a data science and machine learning professional. I am dedicated to producing high-quality work that generates real, measurable value. When undertaking a project, I seek a detailed understanding of its scope and goals, and I like to develop my domain knowledge to closely understand the challenges and identify the most effective approaches. I especially enjoy solving complex problems and work that makes a positive impact on the world.
Skills
Total Experience: 8+ years
Python (7E, 6Y)
7 experiences, across 6 yearsData Science (6E, 6Y)
6 experiences, across 6 yearsMachine learning (6E, 5Y)
6 experiences, across 5 yearsData visualization (5E, 6Y)
5 experiences, across 6 yearsNatural language processing (3E, 5Y)
3 experiences, across 5 yearsTensorflow (2E, 5Y)
2 experiences, across 5 yearsJavaScript (2E, 4Y)
2 experiences, across 4 yearsDeep learning (2E, 3Y)
2 experiences, across 3 yearsComputer vision (2E, 3Y)
2 experiences, across 3 yearsJupyter (2E, 3Y)
2 experiences, across 3 yearsscikit-learn (3Y)
3 years of experienceThree.js (2Y)
2 years of experienceHTML (2Y)
2 years of experienceCSS (2Y)
2 years of experienceNumpy (2Y)
2 years of experienceFourier Transforms (2Y)
2 years of experienceAWS
Wordpress (2Y)
2 years of experienceGit (2Y)
2 years of experienceGoogle Cloud
PyTorch
MySQL (2C)
2 coursesSQL (2C)
2 coursesData Engineering (1C)
1 courseR for Statistics (1C)
1 courseData Analytics (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 10h PST, 22h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
02 - 10
02 - 10
02 - 10
02 - 10
02 - 10
04 - 08
PST
19 - 03
19 - 03
19 - 03
19 - 03
19 - 03
21 - 01
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
- Code Quality
- Code Readability
Experience
Developer
Contract
Nov 2020 - Jun 2021
How to Build Up, Inc. Company
Research Industry
Project: Social media analysis tool
- I was part of a Data Science team that developed a Social Media Analysis tool that aims to support peacebuilding efforts by identifying online behaviors and narratives.
- Using Natural Language Processing and Machine Learning, I built Sentiment Analysis functionality of social media data into the software with TensorFlow.
- We built the tool in Python, with collaboration in Git. The interface for Data Visualization was created in Dash for Python and hosted on AWS.
Web Developer
Contract
Nov 2020 - Jun 2021
How to Build Up, Inc. Company
Technology Industry
Project: Organization website
- I served as the Webmaster for the organization and was responsible for the maintenance and management of the two websites, which were built on WordPress.
- In addition to overseeing content updates, I would often troubleshoot problems with the websites' plugins using JavaScript.
Software Engineer
Employment
Mar 2020 - Oct 2020
Powerupcloud Technologies Company
Technology Industry
Project: Chatbot engine
- I was responsible for supervising a team of two interns and guiding the development of a Chatbot Engine.
- I applied my knowledge of text classification and keyword extraction from Natural Language Processing in Machine Learning to direct the build of the engine.
- Using my experience in working with Python and Data Science, I debugged and prepared the code written by the team for deployment.
Software Engineer
Employment
Mar 2020 - Oct 2020
Powerupcloud Technologies Company
Technology Industry
Project: Insurance data forecast
- I used my Data Science skills to conduct Time Series Forecasting and Supervised Classification, using Machine Learning concepts, of two sets of insurance data.
- This data analysis was done in Python using ARIMA and XGBoost. I did the programming, data hosting, and data visualization on AWS SageMaker.
Developer
Course Project
Jul 2019 - Sep 2019
Data Science Retreat Company
Education Industry
Project: Art Recommendation System
- In a team of two, I built a Data Science project that used Deep Learning models to identify and recommend similar images.
- I used concepts from Computer Vision and Machine Learning to process images of artwork, vectorize these images, and use cosine similarity to find similar images.
- I built the project in Python, using Numpy, Pandas, and Scikit-learn to handle the image data, vectorized images, and calculations.
- I used PyTorch to run the pre-trained models of Neural Networks which vectorized the images and extracted the penultimate layer of these models.
- The project was built entirely on Google Cloud.
Developer
Passion Project
Jul 2017 - Jun 2019
Independent Company
Education Industry
Project: Topic Modelling with NLP
- I applied Natural Language Processing and Machine Learning Techniques to analyze and model topics. I used Latent Dirichlet allocation (LDA) and GridSearch from Python's Scikit-learn library.
- I then used the Gensim library to consider the context and semantic associations between words to fine-tune the analysis.
- I plotted the results using pyLDAvis for Data Visualization. The analysis was carried out in a Jupyter notebook.
- This project was a part of my self-training in Data Science.
Developer
Passion Project
Jul 2017 - Jun 2019
Independent Company
Education Industry
Project: Deep Learning for symbol recognition
- I used Computer Vision and Machine Learning to analyze and recognize images of symbols and classify them accordingly.
- I implemented this in Python's TensorFlow to build a Neural Network using Deep Learning. The analysis and Data Visualization were carried out in a Jupyter notebook.
- This project was a part of my self-training in Data Science.
Student
Course Project
Dec 2016 - Aug 2017
Heidelberg University Company
Education Industry
Project: Master Thesis
- I conducted my master's thesis in simulation and analysis of gravitational wave data for hypothesis testing and parameter estimation.
- I did this Data Science analysis by numerically passing waveforms through Fourier transforms coded in Python using Numpy.
- I then plotted the estimated parameters against their empirical counterparts in weather charts. This Data Visualization was done using Pyplot.
Web Developer
Contract
Mar 2013 - Dec 2014
Independent Researchers Company
Research Industry
Project: Freelance Web Development and 3D Modelling
- I built and deployed several 3D models with animations and user interactivity using Three.js and JavaScript.
- These models were deployed on private web pages, which I built using HTML and CSS.
Qualifications
Education
Heidelberg University, Germany
Apr 2015 - Sep 2017
M.Sc. (Physics)
Birla Institute of Technology and Science, Pilani, India
Aug 2009 - Dec 2012
M.Sc. (Hons.) (Physics)
Courses