Dipanker Singh

Data Scientist

https://www.opentalent.in/dipanker-singh

New Delhi, Delhi, IndiaMember since June 25, 2026

Key Strengths

Demonstrated interest in Data Science through projects like 'My-First-Neural-Network', 'Sentiment-Network', 'Latent-Dirichlet-Allocation-LDA-', and 'Multi_Class_Classification_For_RecognizingHandWrittenDigits'.
Experience with foundational machine learning concepts (neural networks from scratch, logistic regression, LDA).
Familiarity with Python and Matlab for data science related tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project history shows a strong inclination towards self-learning and exploring various technical domains, including competitive programming and graphic design, which suggests a curious and adaptable mindset. The focus on personal projects indicates initiative. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment within a structured team environment.

Soft Skills & Operational Fit

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

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Projects

Sentiment-Network

March 26, 2017 – March 26, 2017

Built a neural network from scratch for sentiment analysis

View Project

My-First-Neural-Network

February 11, 2017 – March 26, 2017

Implemented Neural Networks from Scratch

View Project

Love-Strawberries-openCV

January 26, 2017 – January 26, 2017

Object Detection Using OpenCV+Python (No Deep Learning)

View Project

Multi_Class_Classification_For_RecognizingHandWrittenDigits

January 3, 2017 – January 3, 2017

Implemented one-vs-all logistic regression to recognize hand-written digits

View Project

ProbabilisticGraphicalModels-Representation

December 28, 2016 – March 22, 2017

course by Daphne Koller - Stanford University

View Project

Music-Player

July 28, 2016 – July 28, 2016

Music Player (A Mini JAVA Project )

View Project

Latent-Dirichlet-Allocation-LDA-

July 28, 2016 – December 30, 2016

Bayesian Inference performed using Collapsed Gibbs Sampling

View Project

GraphicDesigning

February 20, 2016 – February 20, 2016

Graphic Posters Designed For Algorithm Society Of NSIT (ASN)

View Project

CodingBlocks

February 20, 2016 – August 19, 2016

Solutions For Classroom and Homework Assignments Done during Summer 2015

View Project

CodeChef

February 19, 2016 – August 19, 2016

Online Judge ProbelemSets-Competitive Programming

View Project

Key Strengths

Demonstrated interest in Data Science through projects like 'My-First-Neural-Network', 'Sentiment-Network', 'Latent-Dirichlet-Allocation-LDA-', and 'Multi_Class_Classification_For_RecognizingHandWrittenDigits'.
Experience with foundational machine learning concepts (neural networks from scratch, logistic regression, LDA).
Familiarity with Python and Matlab for data science related tasks.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Dipanker Singh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit