AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
object_detection_yolo
April 27, 2022 – April 27, 2022
Object detection with YOLO model on person and car dataset
View ProjectNewyork-Taxi-Demand-prediction
November 20, 2019 – November 20, 2019
Predicting cluster-wise taxi demand in New-York city. Worked on time series data and improved the model performance by introducing Triple-exponential averaging feature in XgBoost classifier
View ProjectMultifaceted-Digit-Recognizer
October 5, 2019 – November 22, 2022
A Web app to Recognize Digit by Drawing and Voice using Django and Tensorflow
View ProjectFace-Landmark-Prediction-and-Lipstick-Application
May 24, 2019 – January 12, 2021
Detecting 68 major landmark points on face and applying lipstick on mouth.
View ProjectDeep-Learning-LSTM-on-Amazon-Fine-Food-Reviews-dataset
May 9, 2019 – May 9, 2019
Applied LSTM on Amazon Fine Food Reviews dataset, LSTM is sequential model which works very well with this data
View ProjectApplying-Deep-learning-on-MNIST-Dataset
May 9, 2019 – May 9, 2019
MNIST is a popular digit image(28X28 pixels) dataset in which each image is a hand-drawn picture of numeric digits from 0-9
View ProjectStackOverflow-Tag-prediction
May 6, 2019 – May 9, 2019
Predicting Tag based on given querry from stackoverflow, data taken from kaggle.com
View ProjectExploratory-Data-Analysis--EDA--on-Haberman-dataset
May 5, 2019 – May 5, 2019
Analysis of Haberman Dataset for collecting information like which features are important. Describing the statistics of data
View ProjectSentiment-analysis-on-Amazon-Fine-Food-Reviews-
May 5, 2019 – May 5, 2019
Applying different Machine Learning Algorithms to analyse sentiment based on Amazon fine food reviews dataset taken from kaggle.com
View ProjectCultural Fit Analysis
The candidate's profile shows a strong focus on personal projects, indicating self-motivation and a passion for data science. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The projects are diverse in application but lack depth in terms of real-world impact or scale, which might indicate a need for mentorship in industry best practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.