Fatima A
The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.
If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.
If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.
Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.
If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.
Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
Data Scientist Preferred Title
$31.25 /hr $ 60.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Response Time 12.0 hours
- Average Count of Messages/Day 0.4
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 28h PST, 0h UTC
- Code Quality 60%
- Soft Skill Attributes 60%
- Expertise 2/3
- Coding Challenges 60%
- No. of Lifelong Learning Projects 2
- No. of Coding Challenges Completed 2 More details
- Software Engineering Process 4.0/5
- Technical Breadth 4.0/5
- Algorithmic Thinking 4.0/5
- Technical Strength 4.0/5
- Teamwork 4.0/5
- Intellectual Merit 4.0/5
- English Communication 4.0/5
- Desktop Mac
- Phone iPhone
- Tablet iPad
- Member Since Mar 17, 2023
- Profile Last Updated Apr 01, 2023
- Last Activity April 7, 2023, 2:24 p.m. UTC
- Location Pakistan
Profile Summary
Data Scientist with versatile experience in Data Engineering, Analysis and Science. I have worked with various international clients from different verticals of industry. I have solved time-series, natural language processing and computer vision problems. I also have experience of productionizing models to cloud namely Azure and AWS.
Skills
Total Experience: 3 years
Python (6E, 3Y)
6 experiences, across 3 yearsAzure (2E, 2Y)
2 experiences, across 2 yearsNatural language processing (2E, 1Y)
2 experiences, 1 yearPyTorch (2E, 1Y)
2 experiences, 1 yearNodejs (1E, 1Y)
1 experience, 1 yearPython Selenium (1E, 1Y)
1 experience, 1 yearComputer vision (1E, < 1Y)
1 experience, less than a yearTensorflow (1E, < 1Y)
1 experience, less than a year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 28h PST, 0h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
00 - 04
00 - 04
00 - 04
00 - 04
00 - 04
00 - 04
00 - 04
PST
17 - 21
17 - 21
17 - 21
17 - 21
17 - 21
17 - 21
17 - 21
Vetting
- Interview Data
- Agile Development Process
- Productivity and Responsiveness
- Teamwork
- Software Engineering
- Logical Thinking
- Technical Strength
- Intellectual Merit
- English Communication
- Documentation
- System Design
- Coding Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
Experience
Developer
Employment
Mar 2022 - May 2022
Systems Limited Company
Healthcare Industry
Project: Detection of Adverse Events (side affects) of medicines in patients' complaints and normalize them to FDA's standard terms
- Python
- Tensorflow
- Natural language processing
- PyTorch
- Led a team of 3 to devise an end to end Natural Language Processing solution.
- Firstly, Named Entity Recognition(NER) was performed to detect and extract adverse events from free-form notes.
- Secondly, these events were normalized to standardized medical terms defined by FDA in their dictionary called Meddra.
- BERT was utilized and an existing model trained on Question and Answer dataset was fine-tuned on publicly available dataset Psytar. Recall of 0.81 was achieved
- Solution was implemented in Python and Pytorch/Tensorflow was used.
Developer
Employment
Apr 2021 - Dec 2021
Systems Limited Company
Healthcare Industry
Project: Prediction of Adverse Event given free-form notes from patients' calls and emails. Client: Sciencus, UK
- Python
- Azure
- Natural language processing
- PyTorch
- Predicted an occurrence of Adverse Events in free-form (patients’ calls/emails) notes and achieved an accuracy of 78%. The final model was deployed on Microsoft AZURE.
- The challenge encountered was an imbalanced class. To cater to it, cross-validation was used.
- The training was performed on XLNet (a Natural language processing model). The model was implemented in Python and Pytorch.
Developer
Employment
Apr 2021 - May 2021
Systems Limited Company
Healthcare Industry
Project: Automation of COVID digest Word document containing information pertaining to COVID. Client: Regeneron, USA
- Python
- The project entailed information regarding COVID to be scrapped from multiple Journals, Papers, and FDA sites.
- This information was gathered and put in Word with certain formatting.
- Information relevant to a particular section was put under it.
- This entire process was automated and information was appended weekly. The problem was challenging because of complex MS word formatting and appending of information in particular sections.
- Received appreciation from team lead, client, and CEO. The project was implemented in Python.
Developer
Employment
Dec 2020 - Mar 2021
Systems limited Company
Finance Industry
Project: Automation for process of Account Opening at a national bank. Client: Pakistani Bank
- Python
- Computer vision
- Developed OCR for scanned images of documents involved in account opening such as AoFCIF, SS card.
- The fields from forms were extracted by matching them with their templates through SIFT. The values inside fields were recognized.
- It was developed in Python and SIFT falls under Computer Vision.
- Correctly classified 18/20 documents.
- Libraries Used: openCV, Algorithm : SIFT
Developer
Employment
Jan 2020 - Oct 2020
Systems Limited Company
Project: Used Cars Price estimation. Client: VaVa Cars
- Python
- Azure
- Nodejs
- Applied Machine Learning algorithm to estimate used car prices based on mileage. MAE was 4.6%. It was implemented in Python.
- Developed scrappers to scrape used car ads from Turkish sites Sahibinden and Arabam. 6000 – 8000 records were scraped within 24 hours daily.
- Optimized existing scrapers for these sites that scraped 1000 records in 24 hours to 6000 records in 24 hours. Deployed scrapers on Microsoft Azure VMs. Scrappers were developed in Nodejs.
- Libraries used: Beautiful Soup, Selenium, Node.js, Pupeteer
Software Developer
Employment
Jul 2019 - Jan 2020
Systems Limited Company
Retail Industry
Project: Scrappers
- Python
- Python Selenium
- Scrapped information from Mango's website and stored in a csv.
- Scrapped product URL, product name, SKU, images, price, description, reviews.
- Developed in Python and Python Selenium was used since browser based scrapping was required due to bot detection tool
Qualifications
Education
Lahore University of Management Sciences
Sep 2017 - May 2019
MS (Computer Science)
National University of Sciences and Technology
Sep 2013 - Jun 2017
BE (Software Engineering)