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Data Scientist
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Assessing your cultural and operational fit
Human-Activity-Recognition-LSTM
June 18, 2021 – June 18, 2021
Implementing Recurrent Neural Network (LSTM) solution for recognizing usual human activities like walking, sitting, jogging etc. using Smartphone's sensor data (accelerometer signals).
View ProjectMerchandise-Popularity-Prediction-Challenge
April 7, 2021 – May 22, 2021
In this hackathon, the challenged to predict the popularity level of the merchandise given the details concerning category, score, and presence of the stores.
View ProjectBollinger-Bands-with-Python
February 21, 2021 – February 23, 2021
How to use Python for plotting and visualizing Bollinger Bands® and derive insights from it.
View ProjectRecommender-System-Collaborative-Filtering-MovieLens
December 21, 2020 – December 21, 2020
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
View ProjectSQL-on-IMDB-dataset
December 13, 2020 – December 13, 2020
Using SQLite3 to query on IMDB movies dataset.
View ProjectNLP-Multilabel-Tags-Prediction-Hackathon
October 31, 2020 – November 1, 2020
Given the abstracts for a set of research articles, the task is to predict the tags for each article included in the test set. The research article can possibly have multiple tags.
View ProjectMoving-Average-Crossover-Trading-Strategy-with-Python
September 10, 2020 – October 9, 2020
A Python script to generate buy/sell signals using Simple moving average(SMA) and Exponential moving average(EMA) Crossover Strategy.
View ProjectUsed-Electronics-Price-Prediction-Hackathon
August 25, 2020 – September 28, 2020
Given the factors that can influence the price of a used device, the objective was to build a machine learning model that can predict the price of used electronic devices.
View ProjectExploring-Seaborn-for-Visualization-HandsOn
August 14, 2020 – August 14, 2020
Exploring various plotting methods available in Seaborn API for statistical data exploration.
View ProjectStockMarket-Data-Analysis-Vizualization
June 4, 2020 – July 29, 2020
Using Python to extract, perform data analysis & visualizations, and derive insights from the historical day-to-day price-volume data of various stocks registered on National Stock Exchange(NSE) of India.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and primarily focused on data science and machine learning challenges. While this aligns with the target role of Data Scientist, the lack of team-based projects, professional experience, or diverse domain exposure limits the assessment of cultural fit and adaptability within a professional team environment. The experience level is 0, indicating a lack of professional experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on practical application and problem-solving. However, without psychometric test results or interview data, it is not possible to assess soft skills, work attitude, stress handling, or team collaboration.