About

I am an experienced Data Scientist and Software Engineer for ML Infrastructure. I have a Bachelor’s degree in Computer Science, and around 3 years of professional experience in software engineering and data science. I'm passionate about technology and possess a passion for contributing in tech to make this world a better place.

Education

• BS(CS) @FAST National University of Computer & Emerging Sciences (2017-2021, 3.73 CGPA).
• Pre-Engineering @BAMM PECHS Govt Girls College, Karachi (2015-2017, A+ Grade)
• MGSS - Ismailia Youth Services School (Batch of 2015, A+ Grade)

Recognitions and Achievements

• Submitted a research paper on 'ML-based Analysis on Rating generation through Amazon Reviews', in FIT'2021 Conference, by COMSATS Islamabad.
• Winner 'For Women, by Women - Douglas Award' in Rutgers University's Global Hackathon “HackHERS’21”.
• Built the idea of Safe Pooling App, which got 4th rank out of 200 teams in Built by her 2020 hackathon: by NIC Khi.
• 2nd Prize/Raffle Winner in MLH Cyber Security Challenge, in Fashion Tech Hackathon 2021.
• GHC(Grace Hopper Celebrations) Student Scholar 2020.
  • 1 of 1300 scholars who got an opportunity to attend the World's largest Women in Tech conference.
• Winner of Women Tech Quest'2020-Coding Competition.
  • Won coding competition in the student category. This competition is organized by 10Pearls University every year in which 500+ females take part from all over Pakistan.
• Dean's Lister Spring'18, Spring'19, Fall'19, Fall'20, Spring'20, Fall'20, and Spring'21.

Tools, Languages and Skills

Languages

Frameworks, Libraries and Tools

DataBases

SQL

No-SQL

Project Management Tools

Industry Knowledge and Interests

Internship and Experience

Travel Resorts of America - Internship: Sept 2020 - Jan 2021, Full time(Remote): Feb 21 - Aug 21 (1 Year)

Data Scientist/Python Engineer

• Implemented the whole data science pipeline, and built a model on 1M prospects data that decreased the 'no tour' rate to 77% on the real-time data.
• After running 360+ ML, DL, and averaging-based experiments proposed an ML-LA ensemble, which gave 96% accuracy on the real-time data.

Skills and Tools: Pandas, Tensorflow, Keras, Python, Google Colab, Sklearn, Numpy, Docker, FastAPI, Streamlit, Elastic Search (Kibana), Matplotlib, jupyter notebook, MongoDB, pytests.

Seedcode.io - Aug 2020 - October 2020 (2.5 months)

Data Science Intern

• Found out best-performing use cases for building a financial model on PSX by performing R&D by reading several research papers and articles.
• Analyzed the best-performing markets by setting different thresholds by writing scripts for data collection, populating the database for analysis, then visualizing their trends over time.
• Deployed the model, with other intern, using Django, and created a dashboard to provide actionable insights to the user by comparing graphs and identifying the potential investment opportunities.
• Optimized migration by writing an automation script to run several files in a sequence to make code 2x easier to migrate into a new system.
• Refactored and restructured code to make it understandable for other developers and easy to scale in the future.

Skills and Tools: Python, vs code, MongoDB, pymongo, beautiful soup(bs4), requests, Django, Javascript, jupyter notebook, ta-lib, lucid charts.

Bytecorp.io - March 2020 - Aug 2020 (6 months)

Machine Learning Intern

• The only intern out of other 5 AI/ML Interns to work on a client-facing project which included:
• Implemented and suggested new implementable strategies for the financial model by communicating directly with clients, reporting, & updating them about the progress to constructively search for the best solution.
• Wrote scripts in python for automating more than 30 strategies.
• Ran 200+ experiments for trying out different combinations of best-performing features, logged them into a sheet and did analysis through different visualizations.
• Performed analytics on 2-3 demo datasets to explore computer vision, and good approaches for improving code quality and efficiency to implement on the realtime project ‘IDEM’.

Skills and tools: Python, GoogleColab, pgSQL, Google Analytics & data studio, Advanced report making, ta-lib, Tensorflow, Keras, pandas, and sklearn.

VentureDive - June 2019 - July 2019 (2 months)

Software & Web Intern

• Collaboration with a team to build Shopping Cart and Todo App in which I learned and wrote the Reactjs code for the first time and integrated my app with a backend in Node.js and MongoDB, then deployed the app on Surge.
• Got to explore how VentureDive’s online assessments and recruitment site works.
• Performed documentation and made a report and presentation to elaborate on each method and step.

Skills and tools: VScode, npm, Javascript, ReactJS, Git, GitHub, HTML, CSS, and MongoDB.

Extra-Cirricular Activities & Volunteering Experience

• Co-lead Pakistan Women in Computing, Karachi Chapter -- (02/2020 - Present) Leading a team of 40+ people, planned & organized 3 events, including 1 digital Hackathon having a reach of 2000+ audience.
• Co-lead Corporate affairs and outreach in PROCOM’2020.
• Head, HR in ACM NUCES'2019.
• Efficiently lead a team of 25+ people as Head of Creativity and theme planning in PROCOM’2019.
• Volunteer in organizing and marketing/outreach teams of Google Developer Club, Major League Hacking, and Facebook Developer Circles Karachi.

Hobbies

• Reading Articles and Novels
• Oil Canvas Painting
• Art Work