AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated interest in Data Science and Data Analysis through multiple personal projects.
Experience with Jupyter Notebook for data manipulation and visualization.
Familiarity with various machine learning tasks including regression, clustering, and classification.
Practical application of data analysis techniques to real-world datasets (e.g., Titanic, Iris, Retail, Credit Card Approvals).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards data analysis and machine learning, which aligns well with a Data Analyst role. The diversity of projects (image processing, retail analysis, medical data, credit card approvals) suggests a broad interest in applying data science across different domains. The current role as a Data Analyst at The Sparks Foundation further strengthens the alignment. However, the experience level is listed as 0, and the start date for the current role is in the future (2026), which requires clarification. This discrepancy makes a definitive cultural fit assessment challenging without further information.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a proactive approach to learning and applying data science concepts. However, without psychometric test results or interview data, it is not possible to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Shivdeep Mishra

Data Analyst

https://www.opentalent.in/shivdeep-mishra

Data Analyst

The Sparks Foundation

IndiaMember since June 13, 2026

https://www.opentalent.in/shivdeep-mishra

Top Skills

Jupyter NotebookPython

Skills

Jupyter NotebookPython

Experience

The Sparks Foundation

Data Analyst

June 13, 2026 – Present

Projects

LGMVIP-DataScience

August 13, 2021 – August 28, 2021

All the tasks of the Data Science Internship under LetsGrowMore.

View Project

Titanic---Machine-Learning-from-Disaster

August 3, 2021 – August 3, 2021

Titanic---Machine-Learning-from-Disaster — GitHub repository

View Project

Color-Identification-in-Images-

Object-Detector

July 13, 2021 – July 14, 2021

Implementation an object detector which identifies the classes of the objects in an image or video.

View Project

Exploratory-Data-Analysis---Retail

July 11, 2021 – July 11, 2021

Analyzing data to find out the weak areas where you can work to make more profit.

View Project

Iris-Dataset-Optimum-Number-of-Clusters

July 5, 2021 – July 5, 2021

Prediction using Unsupervised ML. From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

View Project

Student-Score-Prediction

July 2, 2021 – July 13, 2021

Predict the percentage of an student based on the no. of study hours. This is a simple linear regression task as it involves just 2 variables.

View Project

Predicting-Credit-Card-Approvals

May 28, 2021 – May 28, 2021

Build a machine learning model to predict if a credit card application will get approved.

View Project

Dr.-Semmelweis-and-the-Discovery-of-Handwashing

May 18, 2021 – May 18, 2021

Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing. In 1847, the Hungarian physician Ignaz Semmelweis made a breakthough discovery: he discovers handwashing. Contaminated hands was a major cause of childbed fever and by enforcing handwashing at his hospital he saved hundreds of lives.

View Project

Investigating-Netflix-Movies-and-Guest-Stars-in-The-Office

May 7, 2021 – May 7, 2021

Applied the foundational Python skills I learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.

View Project

Key Strengths

Demonstrated interest in Data Science and Data Analysis through multiple personal projects.
Experience with Jupyter Notebook for data manipulation and visualization.
Familiarity with various machine learning tasks including regression, clustering, and classification.
Practical application of data analysis techniques to real-world datasets (e.g., Titanic, Iris, Retail, Credit Card Approvals).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit