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ANIKET GHOSH

ANIKET GHOSH

Certified

Data Scientist

National Institute of Technology Calicut | Kerala, India

Technologies

Collaborate for excellence.

My Work

Take a look at my latest work.

github

HybridRAG-AC

PythonGit
github

Vulnerability Agent

SQLGitShell
github

Time-Series Price Forecasting

GitSpreadsheets
github

Alzheimer’s Disease Detection

PythonGitTheory
github

HybridRAG-AC

PythonGit

My Certifications

These are the industry credentials that I’ve earned.

Data Scientist Associate

Data Scientist Associate

Other Certificates

AILABS Artificial intelligence and Machine learning

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate Python
Intermediate SQL

My Work Experience

Where I've interned and worked during my career.

Aniket Ghosh | May 2023 - Present

AI Engineer

AI Engineer AI Engineer Icon Events India · InternshipIcon Events India · Internship May 2023 - Dec 2023 · 8 mosMay 2023 to Dec 2023 · 8 mos RemoteRemote preparing and cleaning data for model development, support fine-tuning and deployment of generative AI models, collaborate with cross-functional teams to integrate AI workflows into real-world applications, monitor and improve model performance, and document your work while ensuring ethical AI practices are upheld
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Aniket Ghosh | Dec 2021 - Present

Data Quality Engineering

Managing the entire process of preparing high-quality, labeled datasets for training artificial intelligence (AI) and machine learning (ML) models. This is a strategic role that oversees data annotators and ensures that the labeled data meets strict quality standards

Aniket Ghosh | Dec 2020 - Present

Data Analyst

During my internship, I analysed the company’s refund-transactions dataset to identify patterns of high-volume refund instances and root-cause drivers such as product category, region, or customer segmentation. I cleaned and pre-processed the raw data in SQL and Excel, developed pivot-tables and Python scripts to compute refund metrics (like refund rate, mean time-to-refund, refund cost per order), and visualised trends in PowerBI to highlight operational inefficiencies. I also proposed data-driven recommendations to reduce refund frequency and mitigate cost leakage by flagging key risk factors for the operations team. During my internship, I analysed the company’s refund-transactions dataset to identify patterns of high-volume refund instances and root-cause drivers such as product category, region, or customer segmentation. I cleaned and pre-processed the raw data in SQL and Excel, developed pivot-tables and Python scripts to compute refund metrics (like refund rate, mean time-to-refund, refund cost per order), and visualised trends in PowerBI to highlight operational inefficiencies. I also proposed data-driven recommendations to reduce refund frequency and mitigate cost leakage by flagging key risk factors for the operations team.

My Education

Take a look at my formal education

MTech in Artificial Intelligence & Data AnalyticsNational Institute of Technology Calicut | 2026
BTech in Computer Science Engineeringcomputer science engineering | 2023

About Me

ANIKET GHOSH

Data Scientist with strong foundations in statistical modeling, large-scale data processing, and ML system design, experienced in building Spark-based pipelines on AWS EMR, deploying ML models with MLOps best practices, and translating experiments in

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