Ankit Akash

Data Scientist

https://talent.gravityer.com/ankit-akash

@Cognizant

Bengaluru, Karnataka, IndiaMember since June 20, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'sales_forcast', 'telco_churn_project', 'bostonhousepricing', and 'KMeans'.
Experience with Python and Jupyter Notebook for data science tasks.
Basic understanding of web deployment concepts with Flask and Dockerfile for ML models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong personal initiative and a focus on self-directed learning, which can be a positive indicator for cultural fit in a proactive environment. The diversity of projects, from DSA to web development and machine learning, suggests a broad interest in technology. However, the lack of team-based or collaborative projects makes it difficult to assess their fit within a team-oriented culture.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, and no interview data is available.

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Projects

telco_churn_project

June 14, 2026 – Present

This project is an end-to-end production machine learning pipeline designed to predict customer churn in the telecommunications industry.

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bostonhousepricing

May 28, 2026 – Present

A Machine Learning web application that predicts Boston housing prices using a Linear Regression model built with Scikit-learn and deployed using Flask and Render.

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KMeans

April 19, 2026 – Present

This project demonstrates the implementation of the KMeans Clustering Algorithm using Python in a Jupyter Notebook. The California Housing Dataset is used to analyze housing data and identify patterns related to house pricing through clustering techniques.

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portfolio

February 16, 2024 – February 16, 2024

A Personal Portfolio Website build using ReactJS and Tailwind CSS

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sales_forcast

October 24, 2023 – December 1, 2023

This repository houses a robust machine learning project that leverages Linear Regression to forecast sales, utilizing Python and its powerful data science libraries.

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web-progamming

November 13, 2022 – November 23, 2022

An Assignment on frames using HTMl, CSS and JavaScript

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DSA

October 14, 2022 – January 19, 2023

Programs under data structures and algorithms

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ankit-akash

October 14, 2022 – Present

Config files for my GitHub profile. Added a README.md file

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TheWebDudes

March 9, 2022 – March 9, 2022

A portfolio website build on react and styled with tailwind

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ankitakash

December 8, 2020 – November 8, 2022

first ever repository

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'sales_forcast', 'telco_churn_project', 'bostonhousepricing', and 'KMeans'.
Experience with Python and Jupyter Notebook for data science tasks.
Basic understanding of web deployment concepts with Flask and Dockerfile for ML models.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, and no interview data is available.

Ankit Akash

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit