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Data Science | Machine Learning | Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Basic-deep-learning-applications
March 7, 2020 – March 7, 2020
Basic deep learning applications
View ProjectSectorwise-stock-data-visualization
December 17, 2019 – December 17, 2019
Sectorwise stock data visualization using Tableau and Matplotlib
View ProjectLogistic-Regression-without-scikit-learn
December 13, 2019 – December 13, 2019
Logistic Regression without scikit-learn
View ProjectMusic-pattern-recognition-and-recommendation-system
November 18, 2019 – December 30, 2019
Goal of project : Deliver Music pattern recognition and recommendation model to increase TRP of 9x Jhakaas music channel
View ProjectHadoop-and-Hive-Stock-Market-Analysis
November 12, 2019 – April 24, 2020
Hadoop-and-Hive-Stock-Market-Analysis — GitHub repository
View ProjectTwitter-Sentiment-Analysis
October 27, 2019 – September 30, 2020
Twitter-Sentiment-Analysis
View ProjectTableau-Visualizations
October 22, 2019 – October 23, 2019
Tableau-Visualizations — GitHub repository
View ProjectTensorFlow-Object-Detection-Candlestick-chart-doji-pattern
September 3, 2019 – December 14, 2019
Using tensorflow API creating doji candlestick recognizer
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns well with a Data Scientist role. The diversity of projects, from sentiment analysis to stock market analysis and recommendation systems, indicates a broad interest within the field. However, all projects are personal, which might suggest a lack of experience in collaborative or production environments. The absence of professional experience or education details makes it difficult to fully assess cultural fit in a team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.