Ashish Mittal
Data ScientistPune, Maharashtra, IndiaMember since June 16, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Autoencoder
January 10, 2020 – January 10, 2020
Use of autoencoders for classification tasks.
View ProjectExploratory_Data_Analysis
June 26, 2019 – June 26, 2019
This is EDA performed on Zomato Restaurants dataset from Banglore.
View Projectbox_office_predictor
June 24, 2019 – June 24, 2019
Predicting how much revenue a movie would earn on the box office. This model is made using Box office Revenue dataset.
View Projectmovie_recommendation_system
June 21, 2019 – June 21, 2019
A simple movie recommendation system built using Movielens 100K dataset.
View ProjectML_DigitRecognizer_Model
June 17, 2019 – August 6, 2019
Famouse MNIST Digit Recognizer dataset prediction model based on Convolutional Neural Networks. With accuracy of 98%, you can achieve accuracy of 99% if you train on more than 30 epochs, i have only trained this model on 1 epoch only.
View ProjectML_Titanic_Dataset_Predictions
June 14, 2019 – June 14, 2019
The famous Titanic is used in a Random Forest Classification to predict who survived and who did not!
View ProjectSpeech-Recognition-Guess-The-Word-Game
February 18, 2019 – January 13, 2020
Speech-Recognition-Guess-The-Word-Game — GitHub repository
View ProjectGitHub-Profile-Analyzer
October 8, 2018 – October 8, 2018
GitHub-Profile-Analyzer — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards self-directed learning and exploration in data science. The diversity of project topics (EDA, prediction, recommendation, image recognition, speech recognition) suggests a broad interest in the field. However, the lack of professional experience or team projects makes it difficult to assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily personal and lack team collaboration context.