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Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Strong interest and foundational knowledge in Quantum Computing and its application in Machine Learning, as evidenced by numerous personal projects.
Experience with PyTorch and Qiskit for quantum-classical hybrid models.
Demonstrated ability to work with Jupyter Notebooks for data analysis and model development.
Exposure to diverse scientific computing problems, including image classification, gravitational wave data analysis, and particle physics.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on academic and research-oriented quantum computing and physics, which aligns with a highly specialized technical culture. However, the lack of diverse project types or team-based work makes it difficult to assess broader cultural fit. The single listed professional experience as 'Data Scientist' at IISER Bhopal starting in the future (2026) suggests a lack of current professional experience, which might impact immediate team integration and understanding of industry practices.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests to provide insights into communication, teamwork, or work attitude.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Rita Abani

Data Scientist

https://www.opentalent.in/rita-abani

PhD student at Harvard SEAS, Integrated Photonics and Computing

IISER Bhopal

Hyderabad, IndiaMember since June 12, 2026

https://www.opentalent.in/rita-abani

Top Skills

Jupyter NotebookJavaScriptPythonHTMLCSSMakefileBatchfile

Skills

Jupyter NotebookJavaScriptPythonHTMLCSSMakefileBatchfile

Experience

IISER Bhopal

Data Scientist

June 12, 2026 – Present

Projects

Quantum-Club-Starter-Kit

May 23, 2023 – June 7, 2024

Quantum-Club-Starter-Kit — GitHub repository

View Project

Machine-Learning-for-Glitch-Classification-in-Gravitational-Wave-Data-Interferometry

February 3, 2022 – March 7, 2023

Machine-Learning-for-Glitch-Classification-in-Gravitational-Wave-Data-Interferometry — GitHub repository

View Project

Solutions-to-the-Lab-Exercises---IBM-Qiskit-Summer-School-2021

July 20, 2021 – October 7, 2021

This repository holds the solutions to the lab exercises of the IBM Qiskit Summer School 2021 and the accompanying lecture notes of the talks delivered.

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Comparing-the-performance-of-a-binary-QNN-classifier-on-different-Hardware-Accelerators

June 21, 2021 – November 13, 2021

Comparing-the-performance-of-a-binary-QNN-classifier-on-different-Hardware-Accelerators — GitHub repository

View Project

Quantum-Classical-Hyrid-Neural-Network-for-binary-image-classification-using-PyTorch-Qiskit-pipeline

June 2, 2021 – August 8, 2023

Quantum Hybrid Neural Network model for image classification

View Project

TIFR-H-Quantum-Engineering

April 30, 2021 – September 16, 2021

Quantum Engineering : Study, design, analysis of Superconducting and Transmon qubits.

View Project

Particle-physics--data-analysis

March 31, 2021 – July 2, 2021

Particle-physics--data-analysis — GitHub repository

View Project

Fractal-Geometry

December 11, 2020 – March 17, 2022

Playing around with Cellular Automata, Turing machines etc.

View Project

Key Strengths

Strong interest and foundational knowledge in Quantum Computing and its application in Machine Learning, as evidenced by numerous personal projects.
Experience with PyTorch and Qiskit for quantum-classical hybrid models.
Demonstrated ability to work with Jupyter Notebooks for data analysis and model development.
Exposure to diverse scientific computing problems, including image classification, gravitational wave data analysis, and particle physics.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit