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Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated interest in data science and machine learning through personal projects.
Experience with Python for data analysis and model building.
Familiarity with Jupyter Notebook for data exploration and presentation.
Exposure to basic statistical concepts (descriptive statistics, normal distribution) and simple linear regression.

Cultural & Operational Fit

Cultural 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.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Prathik Mohan

Data Scientist

https://www.opentalent.in/prathik-mohan

Mumbai, India.Member since June 12, 2026

https://www.opentalent.in/prathik-mohan

Top Skills

HTMLPythonJupyter NotebookR

Skills

HTMLPythonJupyter NotebookR

Projects

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.

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newspapersales-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.

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simp-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.

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jupyter-night-mode

April 21, 2021 – April 21, 2021

Python code to invoke night mode for Jupyter Notebook

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glass-classify-ml-knn

March 25, 2021 – March 25, 2021

Preparing a Machine Learning Model for glass classification using KNN Algorithm.

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wordopt-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.

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stock-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.

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ca-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.

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airquality-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 Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects.
Experience with Python for data analysis and model building.
Familiarity with Jupyter Notebook for data exploration and presentation.
Exposure to basic statistical concepts (descriptive statistics, normal distribution) and simple linear regression.

Cultural & Operational Fit

Cultural Fit Analysis

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.