IIT Kharagpur - Economics Student __ ML enthusiast who cares about the mathematics behind it. 😅
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
photography-portfolio-page
March 15, 2026 – Present
photography-portfolio-page — GitHub repository
View ProjectPhotography-Portfolio
November 23, 2025 – Present
Photography-Portfolio — GitHub repository
View ProjectWhatsapp_chat_visualization
August 12, 2020 – August 19, 2020
Whats app Chat Visualization
View ProjectTwitter-Sentiment-Analysis---Analytics-Vidhya
July 1, 2019 – July 1, 2019
Problem Statement The objective of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets. Formally, given a training sample of tweets and labels, where label '1' denotes the tweet is racist/sexist and label '0' denotes the tweet is not racist/sexist, your objective is to predict the labels on the test dataset. Motivation Hate speech is an unfortunately common occurrence on the Internet. Often social media sites like Facebook and Twitter face the problem of identifying and censoring problematic posts while weighing the right to freedom of speech. The importance of detecting and moderating hate speech is evident from the strong connection between hate speech and actual hate crimes. Early identification of users promoting hate speech could enable outreach programs that attempt to prevent an escalation from
View ProjectPredicting-The-Costs-Of-Used-Cars---Hackathon-By-Imarticus-Learning
June 28, 2019 – June 28, 2019
Predict the price of a used car based on a given set of features discussed below. Size of training set: 6,019 records Size of test set: 1,234 records FEATURES: Name: The brand and model of the car. Location: The location in which the car is being sold or is available for purchase. Year: The year or edition of the model. Kilometers_Driven: The total kilometres driven in the car by the previous owner(s) in KM. Fuel_Type: The type of fuel used by the car. Transmission: The type of transmission used by the car. Owner_Type: Whether the ownership is Firsthand, Second hand or other. Mileage: The standard mileage offered by the car company in kmpl or km/kg Engine: The displacement volume of the engine in cc. Power: The maximum power of the engine in bhp. Seats: The number of seats in the car. New_Price: The price of a new car of the same model. Price: The price of the used car in INR Lakhs.
View ProjectPractice-Problem-Black-Friday-by-AV
June 8, 2019 – June 8, 2019
Practice-Problem-Black-Friday-by-AV — GitHub repository
View ProjectPractice-Problem-Big-Mart-Sales-III
May 22, 2019 – May 22, 2019
The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.
View ProjectLoan-Prediction-Analytics-Vidya
May 12, 2019 – May 13, 2019
This is a famous problem of Loan Prediction by Analytics Vidya
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a self-driven learning approach. The diversity of projects (NLP, regression, visualization) suggests an openness to exploring different data science domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.