Anda Stoica

Data Scientist

https://www.opentalent.in/anda-stoica

CS Master's student

Member since June 27, 2026

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through projects like 'nlu' and 'wta-match-prediction'.
Experience with machine learning concepts, as evidenced by the 'wta-match-prediction' project using Scikit-learn.
Exposure to parallel programming (C++, Java, Prolog) which can be beneficial for large-scale data processing.
Familiarity with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration across various programming paradigms (C++, Python, Go, Java, Swift, Prolog). This indicates a self-driven and curious individual. However, the projects are predominantly academic or personal, lacking explicit team collaboration or real-world business impact, which might be a consideration for cultural fit in a collaborative professional environment. The target role is 'Data Scientist', and while there are relevant projects, the overall breadth of technologies suggests a generalist programming interest rather than a focused data science trajectory.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

ios-color-maker

April 21, 2020 – April 21, 2020

Color Maker - Udacity iOS Developer Nanodegree project

View Project

ios-pitch-perfect

April 17, 2020 – April 21, 2020

Pitch Perfect - Udacity iOS Developer Nanodegree project

View Project

pt2020

March 2, 2020 – October 13, 2020

Programming Techniques lab 2020 - examples and stuff

View Project

ore-numbers

April 11, 2019 – April 4, 2020

Parallel Programming course assignment - find all Ore numbers in an interval

View Project

nlu

March 10, 2019 – December 8, 2022

nlu — GitHub repository

View Project

cannon-algorithm-mpi

November 30, 2018 – April 4, 2020

Cannon's Matrix Multiplication Algorithm using MPI

View Project

speech-to-action

November 23, 2018 – November 23, 2018

speech-to-action — GitHub repository

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pattern-recognition-systems

November 14, 2018 – April 4, 2020

Lab work for the Pattern Recognition Systems course

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wta-match-prediction

May 29, 2018 – April 4, 2020

Predicting outcomes of WTA matches for a given player using Scikit-learn

View Project

goworkshop

February 8, 2018 – March 12, 2018

Go workshop repository

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through projects like 'nlu' and 'wta-match-prediction'.
Experience with machine learning concepts, as evidenced by the 'wta-match-prediction' project using Scikit-learn.
Exposure to parallel programming (C++, Java, Prolog) which can be beneficial for large-scale data processing.
Familiarity with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Anda Stoica

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit