Key Strengths

Demonstrated interest in Data Science through the 'shebuilds_UpHire' project, which involves AI-powered forecasting.
Experience with Python, a core language for Data Science, as seen in multiple projects like 'WattWise' and 'HTM'.
Familiarity with Jupyter Notebook, a common tool in data science workflows.
Basic understanding of Data Structures and Algorithms (DSA-using-CPP, LeetCode) which is foundational for efficient data processing.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a self-starter attitude. The diversity of projects, from web development to data science concepts, indicates a broad interest. However, the current experience level is 0, and the listed 'Data Scientist' role at Wells Fargo is in the future (starting 2026), making it difficult to assess current cultural fit based on professional experience. The projects show an inclination towards problem-solving and learning, which could align with a growth-oriented culture.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and a future role.

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Ahana Vishwakarma

Data Scientist

https://www.opentalent.in/ahana-vishwakarma

Hey there!

Wells Fargo

IndiaMember since June 13, 2026

https://www.opentalent.in/ahana-vishwakarma

Top Skills

HTMLJavaScriptCSSC++PythonDockerfileJupyter NotebookPowershellSCSSPHP

Skills

HTMLJavaScriptCSSC++PythonDockerfileJupyter NotebookPowershellSCSSPHP

Experience

Wells Fargo

Data Scientist

June 13, 2026 – Present

Projects

Plateful

April 21, 2023 – April 21, 2023

https://ahanavish.github.io/Plateful/

View Project

WattWise

April 11, 2023 – October 7, 2023

WattWise — GitHub repository

View Project

gsc

March 6, 2023 – June 4, 2023

WattWise is an AI-powered energy forecasting app that could be a useful tool for users who are looking to better manage their energy consumption and reduce their environmental impact.

shebuilds_UpHire

January 6, 2023 – January 8, 2023

UpHire will assist firms in determining how many of their applicants are searching for a job move following the training period with up to 98% accuracy, saving them time, money, and energy. The corporation may then carefully, and successfully plan its courses and invest in long-term retention plans.

View Project

LeetCode

January 20, 2022 – November 15, 2022

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)

View Project

SortingX

November 19, 2021 – April 11, 2022

SortingX is a sorting visualizer. It allows the users to select one of the 6 Sorting algorithms (Bubble, Heap, Insertion, Quick, Selection, Shell) and visualize how it runs, providing them a deeper understanding of how a specific algorithm works.

View Project

DSA-using-CPP

September 12, 2021 – January 30, 2022

This repository contains codes of all important operations of each Data Structure, in C++. It also contains codes of many general types of programming questions.

View Project

Key Strengths

Demonstrated interest in Data Science through the 'shebuilds_UpHire' project, which involves AI-powered forecasting.
Experience with Python, a core language for Data Science, as seen in multiple projects like 'WattWise' and 'HTM'.
Familiarity with Jupyter Notebook, a common tool in data science workflows.
Basic understanding of Data Structures and Algorithms (DSA-using-CPP, LeetCode) which is foundational for efficient data processing.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and a future role.