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Ayush Pandey

Ayush Pandey

Data Analyst and Machine Learning Engineer

New Delhi, India
80
Profile Score

About

Data Analyst and Machine Learning Engineer with 3 years of industry experience. Proficient in machine learning, predictive modeling, and classification, worked with tools like Python, Scikit-Learn, TensorFlow, and MLflow. Skilled in SQL, ETL, HiveQL, and ImpalaQL, RAG architecture specializing in building data-driven solutions, scalable ML pipelines, agentic AI ecosystem.

Skills & Expertise (25)

Python Advanced
8.1/10
3
Years Exp
PyTorch Advanced
7.8/10
3
Years Exp
TensorFlow Advanced
7.8/10
3
Years Exp
Pandas Advanced
7.8/10
3
Years Exp
scikit-learn Advanced
7.8/10
3
Years Exp
SQL Advanced
7.4/10
3
Years Exp
Matplotlib Advanced
7.4/10
3
Years Exp
Seaborn Advanced
7.4/10
3
Years Exp
XGBoost Advanced
7.4/10
3
Years Exp
Keras Advanced
7.4/10
3
Years Exp
Decision Trees Intermediate
7.2/10
3
Years Exp
Hugging Face Intermediate
7.2/10
2
Years Exp
A/B testing Intermediate
7.2/10
3
Years Exp
Hypothesis Testing Intermediate
7.2/10
3
Years Exp
Google BigQuery Intermediate
7.2/10
3
Years Exp
Hive QL Intermediate
6.9/10
3
Years Exp
RAG Intermediate
6.5/10
1
Years Exp
Ollama Intermediate
6.5/10
1
Years Exp
LLaMA Intermediate
6.5/10
1
Years Exp
LangChain Intermediate
6.5/10
1
Years Exp
LangGraph Intermediate
6.5/10
1
Years Exp
LlamaIndex Intermediate
6.5/10
1
Years Exp
MLflow Intermediate
6.5/10
1
Years Exp
Streamlit Intermediate
6.5/10
1
Years Exp
Pinecone Intermediate
6.5/10
1
Years Exp

Work Experience

Algorithm Developer & Data Science Intern

HEALTHCARE TECHNOLOGY INNOVATION CENTER IIT Madras

Jul 2021 - Oct 2021

Crafted advanced mathematical models identifying key biometrics influenced by exercising; findings provided essential data leading to a redesign of core application features based on user feedback trends reported monthly. Coordinated with the team in developing and designing other features for the repose app which helped to raise revenue generation by 10% through the app purchases. Engineered an ECG based classification model for sleep stage analysis having testing accuracy of 87%

Data Analyst

TATA CONSULTANCY SERVICES

Dec 2021 - May 2025

Coordinated in designing queries for extraction of data as required by Clients using Oracle SQL, HiveQL, and ImpalaQL and Google Big Query. Collaborated with other team members to design classification models using ensemble and boosting methods to classify customers as delinquent /non-delinquent which increased the test accuracy to 90%. Helped the client to achieve an increase in customers by 20% by analyzing the best customer-based offers in various quarters and collaborating in solving issues by crafting visualization dashboards using Power BI. Designed a database system to detect, analyze and store the number of failed transactions to detect fraudulent attempts in hive tables by collecting data from various business sources. Collaborated in designing python scripts for ETL jobs to efficiently collect data from various API’S and filter them according to business needs. The ETL design reduced the error in data by 15%

Education

Bachelor of Technology in Chemical Engineering - VEER SURENDRA SAI UNIVERSITY OF TECHNOLOGY

2017 - 2021 · Afghanistan

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceMar 2026

Availability Details

Visa Status

Citizen

Relocation

Open to Relocation

Skills (25)

Python PyTorch TensorFlow Pandas scikit-learn SQL Matplotlib Seaborn XGBoost Keras +15 more