Looking for a challenging opportunity in Data Science domain which can help me to improve my analytical skills as well a better growth environment.
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Facial-Recognisation-based-attendence-system
May 18, 2022 – May 18, 2022
I would like to bring in a smart attendance system, which will help in recognising the students face and update the document with their Student Id and Student Name. Another main point of concern for us to introduce smart attendance system is time-consuming. Assuming for each class, I take roughly 5 to 10 mins to take the students’ attendance, and for every teacher, it is an additional task that consumes their time. With the world moving to automation more and more every day, I used image processing to develop the automatic process. I used Face detection to identify a person’s face and face recognition to verify the identified person’s face with the one I have in our database.
View ProjectAnalytics-Vidhya-Hiring-Hackathon
January 17, 2018 – January 17, 2018
I have participated in a hackathon organised by Analytics Vidhya, and built a model using XGboost to find out the trend of electricity consumption. after evaluation my model got rank 3 based on accuracy.
View ProjectPredict-Fraudulent-Transactions_Hackerearth-
January 12, 2018 – January 12, 2018
I have participated in hackathon orgnised by hackerearth, named Brainwaves and built a model using H2O and Random Forest to predict Fraudulent Transaction
View ProjectPredict-Annual-Returns
January 12, 2018 – January 12, 2018
I have participated in a hackathon organised by hackerearth, named Brainwaves and built a model using XGboost to predict annual Returns
View ProjectKickstarter-Project-Funding-prediction_R
July 5, 2017 – December 18, 2018
Kickstarter works on all or nothing basis i.e if a project doesn’t meet it goal, the project owner gets nothing. For example: if a projects’s goal is $500. Even if it gets funded till $499, the project won’t be a success. Recently, kickstarter released its public data repository to allow researchers and enthusiasts like us to help them solve a problem. Will a project get fully funded ? In this challenge, i was responsible to predict if a project will get successfully funded or not using XGBOOST classification .
View ProjectSemantic-Analysis-of-Question-Pairs_R
July 5, 2017 – July 6, 2017
I have developed a project, based on Text mining for Kaggle competition, and built a Classication model with 83% accuracy. Goal of the project was to classify whether question pairs has same Semantic or not.
View ProjectHousing_Regression_Price_Analysis_R
July 5, 2017 – July 6, 2017
A Kaggle"s competition, i was responsible to develop an algorithms which uses a broad spectrum of features to predict reality prices of a building. and i completed the task successfully using decision trees based model.
View ProjectR-CAB_Fare_Amount_Analysis
May 23, 2017 – May 25, 2017
I have developed a project based on Regression Analysis for a hackathon, organised by Hackerearth and built a model with almost 92% accuracy. Goal of the project was to understand the trip fares so that they can come up with necessary marketing offers to gain more customers.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in data science and machine learning, aligning with a 'Data Scientist' target role. The diversity of projects, ranging from facial recognition to financial predictions and text mining, indicates a broad curiosity and willingness to tackle different problem domains. However, the projects are predominantly personal or hackathon-based, with no explicit team collaboration mentioned, which limits the assessment of cultural fit in a collaborative professional environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a problem-solving orientation and participation in competitive events, which might suggest drive and resilience.