Oishi Poddar

Oishi Poddar

Masters in Computer Science student

University of California San Diego

Biography

Oishi is a Masters in Computer Science student at the University of California, San Diego graduating in March, 2023). She is currently undertaking a software engineering internship at Meta, California working on using machine learning to improve the ranking of Facebook group recommendations. She graduated as a Computer Science and Engineering graduate from KIIT University, India and worked at HSBC under the Global Graduate Technology Program for 2 years. She has undertaken a number of academic and corporate internships during her undergraduate degree and has a deep interest in the field of Artificial Intelligence. She is on the lookout for full-time opportunities in the field of machine learning, data science and software engineering starting April 2023.

Interests

  • Artificial Intelligence
  • Machine and deep learning
  • Computer Vision
  • NLP

Education

  • Masters in Computer Science, GPA : 4.0/4.0, Winter, 2023

    University of California San Diego, USA

  • B.Tech in Computer Science and Engineering, CGPA: 9.41/10, 2015-2019

    Kalinga Institute of Industrial Technology(KIIT), Bhubaneswar, India

  • XII- I.S.C, 97%, 2015

    G.D.Birla Centre For Education, India

  • X- I.C.S.E, 95.2%, 2013

    G.D.Birla Centre For Education, India

Experience

 
 
 
 
 

Software Engineer Intern

Meta

Jun 2022 – Sep 2022 California, USA
  • Using machine learning to improve the ranking of groups recommended on Facebook.
 
 
 
 
 

Software Engineer

HSBC

Jul 2019 – Aug 2021 Pune, India
  • Used Python and OpenCV to process images of text and extract required fields and text from the images.
  • As part of Business Services, Wholesale banking, developing a portal for global and industry leading client account onboarding and lifecycle management solution for fast, secure and efficient onboarding with streamlined client lifecycle experience.
  • Some of the features developed are automated decision driven forms enabled for Secondary Account Opening, Know Your Customer(KYC) renewal, Sanctions Exposure Questionaire.
  • Delivered an end-to-end customer journey for an urgent Covid-19 requirement- US Paycheck Protection programme, part of the US CARES Act stimulus package within 8 weeks amidst changing US govt guidance. After 1600 production releases by my team, a digital channel was provided to facilitate end-to-end loan forgiveness process.
  • The portal is based on a microservice architecture and the technologies used are PostGreSQL, Java and React.
 
 
 
 
 

Software Engineering Intern

Autodesk

May 2019 – Jun 2019 Pune, India
  • Designed and developed an application(value stream mapping system) to analyze the value which each tool within a software production pipeline brings to enable product teams to speed up their work.
  • Used REST APIs to gather data from tools like Jira, GitHub, Jenkins and store it in a MongoDB database.
  • Wrote the back-end scripts in Python to fetch, aggregate and analyze the required data to find relations and inferences from it. Used Flask and React to render the application to the browser.
 
 
 
 
 

Intern

Ernst & Young

Jan 2019 – Feb 2019 Kolkata, India
  • Designed a business analytics dashboard to visualise the sentiment analysis of Facebook data analyzed using the Text Analytics API of Microsoft Azure Cognitive Services.
 
 
 
 
 

Mitacs Globalink Intern under Prof. Roberto Lopez

Ecole de technologie superieure(ETS), Montreal

May 2018 – Jul 2018 Montreal, Canada

One of the top 8% out of the 10,000 undergraduate students from 9 different countries to undertake a MITACS Globalink Research Internship in Canada.

  • Performed a systematic mapping study to research into the customization of technology for autistic individuals. The resultant research paper has been accepted for publication in an international journal. [link]
  • Researched into gathering real-time data from two wearable devices(Python API’s and MATLAB) and analyzed them to study spikes in biological signals like heart rate,stress levels to facilitate immediate assistance to autistic children.
 
 
 
 
 

Eklavya Summer Intern under Prof. D.B.Phatak

Indian Institute of Technology(I.I.T), Bombay

May 2017 – Jun 2017 Mumbai, India

One of the top 100 students selected for the Eklavya Summer Internship Program at I.I.T Bombay, from amongst the 4000 students who applied from nearly 600 universities.

  • Designed and created a customizable group learning application. USP of application is that profiles with various level of access rights to each tool can be created and tailored according to need.
  • Developed group learning tools such as quiz, polls, notes, assignments, quiz, discussion forum, video conference. Each tool provided an in-depth analysis of the participation and performance of the group members.The web application was created using Java, Struts 2 framework, MySQL, HTML, Bootstrap.

Skills

Languages and Databases

Python, Java, SQL, MongoDB, HTML, JavaScript

Tools/Technologies

Git, LaTeX, Android, Power BI

Frameworks and Libraries

TensorFlow, Keras, PyTorch, NumPy, SciPy, Scikit-learn, Pandas

Projects

Click on each for more details

Covid-19 predictor

A machine learning based model to predict number of Covid-19 cases in India

ARIVA-Adaptive Reading and Interactive Voice Assistant

An Android app with an interactive reading assistant for the visually impaired.

Sentiment analysis of YouTube comments

Machine learning for sentiment analysis

Honours and Awards

Lisbon Machine Learning Summer School, 2021

Selected to participate in the Lisbon ML summer school focusing on NLP and Computational Linguistics, sponsored by universities in Portugal. This school scheduled to be held in Lisbon was held virtually due to Covid-19.
See certificate

Eastern European Machine Learning (EEML) Summer School, 2021

Selected to participate in the EEML summer school on Deep Learning and Reinforcement Learning, sponsored by Google DeepMind. This school scheduled to be held in Budapest was held virtually due to Covid-19.
See certificate

Machine Learning Summer School, Indonesia (MLSSIndo, 2020)

Selected to participate in the MLSS summer school to learn more about the fundamentals and the current state of the art in machine learning and deep learning, including relevant applications to data science, computer vision, and natural language processing. This school, scheduled to be held in Indonesia was held virtually due to Covid-19. Our group project proposal “Deep Learning for Sustainable Urban Development and Resource Management from Aerial Images in the Global South” on the theme “AI for developing countries” was chosen to be one of the top 3 best proposals.
See certificate

Eastern European Machine Learning (EEML) Summer School, 2020

Selected to participate in the EEML summer school on Deep Learning and Reinforcement Learning, sponsored by Google DeepMind. This school scheduled to be held in Poland was held virtually due to Covid-19.
See certificate

International Conference on Learning Representations(ICLR), 2020 and 2021

Was once among the 103 awardees chosen to receive funding for the registration fee to attend the virtual International Conference on Learning Representation (ICLR), 2020 and 2021.
See certificate

Microsoft partner award for GradHack hackathon

Won the Microsoft Partner prize for best use of Microsoft services at the Grads hackathon organized by HSBC. The theme of the hackathon was to build an effective banking solution for disabled people.

Certifications

Machine Learning Devops Engineer Nanodegree

Serving as a Udacity mentor for the Machine Learning Devops Engineer Nanodegree program. Roles and responsibilities include grading student projects, answering student technical doubts and questions.
See certificate

Deep Learning Specialisation

Completed 5 courses in the deep learning specialisation:

  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
See certificate

Contact

  • San Diego, California
  • DM Me