Vini Dixit

Data Scientist

https://www.opentalent.in/vini-dixit

Bengaluru, Karnataka, IndiaMember since June 18, 2026

Key Strengths

Demonstrated interest in Data Science through numerous personal projects (NLP, clustering, demand estimation).
Experience with Python and Jupyter Notebook for data analysis and machine learning tasks.
Actively participates in competitive programming platforms (HackerEarth, LeetCode, InterviewBit) indicating problem-solving aptitude.
Exposure to foundational machine learning algorithms through Andrew Ng's course and Matlab implementations.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong self-driven learning attitude through personal projects and online courses. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit, especially regarding collaboration and adaptability in a team environment. The projects are diverse within the data science domain, indicating a broad interest.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project work without details on collaboration, communication, or project management.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

hackerearth

January 5, 2021 – January 5, 2021

hackerearth — GitHub repository

View Project

leetcode

January 5, 2021 – January 5, 2021

leetcode — GitHub repository

View Project

hierarchical-labelled-clustering-evaluation

June 18, 2020 – June 22, 2022

Evaluation of GCFI++ algorithm and system using Reuters dataset

View Project

hierarchical-labelled-clustering

March 20, 2020 – June 12, 2023

hierarchical-labelled-clustering — GitHub repository

View Project

demand-price-estimation

October 30, 2019 – October 30, 2019

Dynamic pricing for flights based on demand.

View Project

nlp-with-deep-learning

January 24, 2019 – March 19, 2019

Stanford course cs224d - nlp with deep learning

View Project

enron-nlp-mining

December 17, 2018 – October 30, 2019

Text analysis on Enron emails data

View Project

kaggle

October 12, 2018 – October 30, 2019

Few of my kernels to solve DS problems at Kaggle.

View Project

interviewbit

October 12, 2018 – October 12, 2018

interviewbit — GitHub repository

View Project

stanford-machine-learning-course

April 27, 2018 – May 15, 2018

This repository consists of my Matlab codes for ML algorithms implementations. It consists of various coding assignments done while attending ML course by Andrew Ng. It consists of vectorized implementation of various cost functions, optimizers, gradient updates and finding best parameters for the decision boundary.

View Project

Key Strengths

Demonstrated interest in Data Science through numerous personal projects (NLP, clustering, demand estimation).
Experience with Python and Jupyter Notebook for data analysis and machine learning tasks.
Actively participates in competitive programming platforms (HackerEarth, LeetCode, InterviewBit) indicating problem-solving aptitude.
Exposure to foundational machine learning algorithms through Andrew Ng's course and Matlab implementations.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project work without details on collaboration, communication, or project management.

Vini Dixit

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit