Freelance Programming Consultant | Content Creator in the field of Artificial Intelligence| ML Researcher
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ExpertzHut Solution
Data Scientist
June 18, 2026 – Present
Skin-Cancer-Detection-using-ResNet-50-deployed-on-Streamlit
August 14, 2022 – August 19, 2022
Classify Skin cancer from the skin cancer pictures using ResNet 50. The dataset for the project is obtained from the Kaggle ISIC-Archive.
View ProjectFIFA-2018-Data-Analysis-
April 15, 2021 – April 15, 2021
In this project, we will be looking at the player data provided by FIFA which contains information such as personal details, wages, physical attributes, technical skills, potential and their positional strengths. This is primarily data of FIFA 2018.Through this project, you will get a glimpse of insights behind the beautiful game and the kind of information and decisions a football manager goes through.
View ProjectCustomer-Segmentation
January 15, 2021 – January 15, 2021
The Aim of the this repository is to build the predictive model with which we can identify or analyze the customer behavior and can also segment the customers in different categories with the technique called "RFM Analysis".
View ProjectHealthcare-Analytics-II---AV-Hackathon
September 7, 2020 – September 7, 2020
The Competition is conducted by Analytics Vidhya named Janatahack - Healthcare Analytics II. The task is to accurately predict the Length of Stay for each patient on case by case basis so that the Hospitals can use this information for optimal resource allocation and better functioning. The length of stay is divided into 11 different classes ranging from 0-10 days to more than 100 days. I tried almost all classifier algorithms for this Multioutput problem to get better accuracy. I achieved accuracy of around 42.867% using LightGBM which is very powerful ensemble technique.
View ProjectTopic-Modelling-for-Research-Article
August 22, 2020 – August 23, 2020
Researchers have access to large online archives of scientific articles. As a consequence, finding relevant articles has become more difficult. Tagging or topic modelling provides a way to give token of identification to research articles which facilitates recommendation and search process. Given the abstract and title for a set of research articles, predict the topics for each article included in the test set.
View ProjectSkewed-data-classification
April 4, 2020 – April 6, 2020
This notebook will test different methods on skewed data. The idea is to compare if preprocessing techniques work better when there is an overwhelming majority class that can disrupt the efficiency of our predictive model
View ProjectNatural_Language_Processing
March 16, 2020 – March 19, 2020
Working with text is generally more challenging than working with numerical data. Hence, any kind of technique that helps in generating an intuition of the existing dataset is welcome. One of the simplest approach to understand any text document or to compare multiple documents can be to compute a frequency table of individual words present in the document/documents and use it to conduct further experiements like: finding top words per document, finding top common words among documents etc. In our case, we have taken the challenge of Analyzing Sentiments from Twitter data, so we will focus on how to generate word frequencies and use it to create Word Clouds in Python that will help us get a better overall understanding of the dataset.
View ProjectPrice-Prediction---Advanced-Regression-Technique
October 7, 2019 – October 7, 2019
The data set was taken from kaggle competition based on House Price Prediction , there was a lot Feature Engineering in this data set after that I used Randomized Search Cv to tune my hyperparameters and used XGBoost regressor for prediction and with the help of these techniques my RME score on the public leaderboard will be 0.1398 and my rank was 2500 and now I use to apply ANN(Artificial Neural Network) to improve my score.
View ProjectTitanic-Disaster-
October 2, 2019 – October 2, 2019
This is my first Kaggle competition, and i just use Random Forest and XGBoost classifier to implement this along with lot of Data Preprocessing steps and and Feature Engneering.
View ProjectText-Classification
June 25, 2019 – June 25, 2019
Imported the dataset of 20 new_groups , apply Naive-Bayes on it for Classification and obtain the result.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in diverse data science applications, from healthcare analytics to image classification and natural language processing. This breadth of interest aligns well with a dynamic and research-oriented data science environment. The current role as 'Data Scientist' at ExpertzHut Solution, although with a future start date, indicates a clear career path alignment. The focus on personal projects and hackathons suggests an individual who is self-driven and eager to explore new challenges, which can be a good cultural fit for innovative teams.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying various machine learning techniques. The focus on hackathons and personal projects suggests self-motivation and problem-solving skills. However, without specific assessment data, it is difficult to fully evaluate soft skills like teamwork, communication, and stress handling.