Working as a Java Developer. I love exploring and learning something new about tech. Skills : Coding I Data Science I ML
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Tata Consultancy Services
Data Scientist
June 16, 2026 – Present
ReducingMarketWaste_HackerearthCompetition
April 15, 2021 – April 15, 2021
Problem Statement: The company has products that can be used for hiring assessments. The task is to predict the probability percentage that a client will purchase a product from the features provided in the dataset.
View ProjectFlight-Price-Prediction-With-Deployment
March 26, 2021 – December 24, 2021
I have built a simple web app that predicts the price of flights based on inputs such as Departure date and time, Source and destination, etc. The model is trained on "Random Forest Regressor" and deployed using "Streamlit" on Heroku. The accuracy of the model was found out to be 95% on the train data and about 80% on the test data.
View ProjectImage-Classification-Using-CNN-in-Pytorch
March 1, 2021 – October 5, 2021
The aim of this project is to predict the label of the object given the image data using Convolutional Neural Networks(CNN) in Pytorch. The dataset used is CIFAR-10 dataset which is a subset of the 80 million tiny images dataset and consists of 60,000 32x32 color images containing one of 10 object classes, with 6000 images per class.
View ProjectStock_Market_Prediction
February 18, 2021 – February 19, 2021
The aim of this project is to analyse the stock market data and predict the stock closing price using Long Short Term Memory(LSTM ) deep learning algorithm and evaluate the accuracy of the model. Also, the trained data is used to predict the stock closing prices for the next 30 days in future.
View ProjectThe-Sparks-Foundation-Tasks
February 7, 2021 – February 7, 2021
This repository contains the tasks that I completed while working as an intern for The Sparks Foundation. Internship Category - Data Science and Business Analytics Internship Duration - 1 Month ( October-2020 ) Internship Type - Work from Home In this internship, we were provided a list of tasks and I was able to successfully complete 4 tasks within the given time-frame.
View ProjectFace-Detection-Using-Open-CV
August 10, 2020 – October 5, 2021
This is a simple demonstration of face detection using the OpenCV library in python (in a few lines of code). Face detection using Haar cascades is a machine learning based approach where a cascade function is trained with a set of input data. OpenCV already contains many pre-trained classifiers for face, eyes, smiles, etc.. We will be using the face classifier.
View ProjectFace-Recognition-on-Olivetti-Dataset
August 10, 2020 – August 10, 2020
In this study, face recognition was performed using the face images in the Olivetti data set. Principal components of face images were obtained by PCA. According to three different classification models, accuracy score obtained. Parameter optimization of the best model has been made
View ProjectTitanic-Dataset-EDA-Random-Forest-Algorithm
July 3, 2020 – July 5, 2020
This is a small ML project on the Titanic dataset. The aim of this project is to perform exploratory data analysis on the data with the help of graphs, processing the data and finally applying the Random Forest algorithm to predict the survival based on the features.
View ProjectCultural Fit Analysis
The candidate has a strong focus on personal projects, primarily in data science and machine learning, which aligns well with a Data Scientist role. The diversity of projects (prediction, classification, computer vision) shows a broad interest within the field. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaborative cultural fit. The experience level is listed as 0, despite a current role at Tata Consultancy Services, which creates an inconsistency that needs clarification for a full cultural fit assessment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying various data science techniques. The personal projects suggest self-motivation and an ability to work independently. However, without specific psychometric test results or interview data, it is difficult to assess stress handling, team collaboration, or other soft skills.