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tradingtrendz
January 29, 2025 – Present
Tradingtrendz.in provides daily analysis of ETF volume traded on the Indian Stock Market, empowering you to make smarter trading decisions.
View Projectnewspapersales-predict-simp-linear-regression-py
September 6, 2021 – September 6, 2021
Newspaper sales margin prediction by applying Simple Linear Regression machine learning model using Python.
View Projectsalary-simp-linear-regression-py
September 6, 2021 – September 6, 2021
To predict the salary hike of an employee by applying Simple Linear Regression Machine learning model.
View Projectsimp-linear-regression-del-py
September 6, 2021 – September 6, 2021
Predicting delivery time of food by applying Simple Linear Regression Machine learning model using Python.
View Projectjupyter-night-mode
April 21, 2021 – April 21, 2021
Python code to invoke night mode for Jupyter Notebook
View Projectglass-classify-ml-knn
March 25, 2021 – March 25, 2021
Preparing a Machine Learning Model for glass classification using KNN Algorithm.
View Projectwordopt-count-get-py
February 24, 2021 – February 25, 2021
Optimized python code to get the most occuring word from any text file of any size including different coding styles.
View Projectstock-risk-eval-normaldis-py
February 9, 2021 – August 5, 2021
Computing BEML and GLAXO stock risks and returns for daily trading data from 2010 to 2016 using normal distribution and descriptive statistics in Python.
View Projectca-housing-python-explore
January 29, 2021 – January 29, 2021
Exploring the data drawn from the U.S. Census report on California housing block groups using descriptive stats in Python.
View Projectairquality-descrip-r-plots
January 27, 2021 – February 24, 2021
Analyzing the daily air quality measurement in New York City with descriptive statistics plots in R.
View ProjectCultural Fit Analysis
The candidate shows initiative through numerous personal projects, indicating a self-starter attitude. The projects are diverse within the data science domain, suggesting a broad interest in applying analytical techniques. However, without team-based projects or professional experience, it's difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration or problem-solving approaches.