Ankit Tyagi

Data Scientist

https://www.opentalent.in/ankit-tyagi-1

Senior Data Scientist with 10 years of experience in marketing, pricing analytics and assortment.

Victoria's Secret

Key Strengths

Demonstrated interest in MLOps practices through multiple personal projects (MLOps_CI_Tutorial, MLOps_mlflow_tutorial, MLOps_pipeline_dvc_tutorial, MLOps_Docker_Tutorial, MLOps_DVC_Tutorial).
Familiarity with core data science concepts like statistical learning (ISLR_Notes_codes), time series forecasting (Time-Series-Forecasting), and neural networks (Neural-Network-from-scratch).
Experience with Python for data science and machine learning tasks.
Exposure to tools like Jupyter Notebook, MLflow, DVC, and Docker.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong self-driven learning approach, particularly in MLOps and core data science topics. However, the projects are primarily tutorials or notes, indicating a learning phase rather than independent problem-solving or contribution to larger systems. The single listed professional experience as a Data Scientist at Victoria's Secret is current but lacks details on responsibilities or achievements, making it difficult to assess alignment with a senior role or specific cultural fit beyond a general interest in the field.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

MLOps_Docker_Tutorial

February 9, 2026 – Present

Docker Tutorial by Vikash Das

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MLOps_CI_Tutorial

February 9, 2026 – Present

CI tutorial by Vikash Das

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MLOps_mlflow_tutorial

January 30, 2026 – Present

This repo is for learning experiment tracking using mlflow

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MLops_pipeline_dvc_tutorial

January 29, 2026 – Present

This repo is for learning pipeline creation using dvc and mlops practices by Vikash Das

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MLOps_DVC_Tutorial

January 12, 2026 – Present

This is a repo to follow DVC tutorial by Vikash Dash

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web-scraping

November 10, 2025 – Present

This repository has all the codes following Python web scraping course

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Neural-Network-from-scratch

November 10, 2025 – November 10, 2025

Following the book from sentdex

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ISLR_Notes_codes

September 23, 2019 – August 19, 2020

A repository based on my notes and codes in Python from the book Introduction to Statistical Learning

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Time-Series-Forecasting

November 19, 2018 – April 19, 2019

Notebooks on Time series forecasting

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Coding-the-matrix-Code

September 29, 2018 – August 28, 2019

This repository has python codes for "Coding the Matrix" linear algebra in python

View Project

Key Strengths

Demonstrated interest in MLOps practices through multiple personal projects (MLOps_CI_Tutorial, MLOps_mlflow_tutorial, MLOps_pipeline_dvc_tutorial, MLOps_Docker_Tutorial, MLOps_DVC_Tutorial).
Familiarity with core data science concepts like statistical learning (ISLR_Notes_codes), time series forecasting (Time-Series-Forecasting), and neural networks (Neural-Network-from-scratch).
Experience with Python for data science and machine learning tasks.
Exposure to tools like Jupyter Notebook, MLflow, DVC, and Docker.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Ankit Tyagi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit