Amarendra Deo — Data Scientist

As a Senior Data Science Engineer, I bring nearly 4 years of end-to-end experience in building scalable data platforms and deploying cutting-edge machine learning and AI solutions across diverse domains. My expertise spans the full data lifecycle—from raw data ingestion and pipeline orchestration to advanced modeling and GenAI-driven innovation. With a strong foundation in big data ecosystems (Apache PySpark, Databricks, Apache Airflow) and programming in Python, I design and implement robust, production-grade ETL pipelines, data lakes, and streaming solutions to support high-volume data needs. I focus on building systems that are reliable, modular, and optimized for real-time analytics and ML consumption. On the Data Science side, I apply advanced statistical techniques and machine learning algorithms (regression, classification, clustering, deep learning, recommendation systems) to deliver actionable insights. My experience includes: - Natural Language Processing (NLP): Sentiment analysis, topic modeling, machine translation, custom Named Entity Recognition (NER), chatbot frameworks - Computer Vision: Object detection and tracking using YOLO, MediaPipe; dataset labeling using CVAT and Roboflow - Generative AI: Developing and fine-tuning LLM-based solutions for enterprise use cases, prompt engineering, RAG pipelines, and text summarization In recent roles, I’ve also led initiatives involving GenAI integration into business workflows—such as automated content generation, intelligent assistants, and semantic search—leveraging tools like OpenAI, Hugging Face, and vector databases. I am passionate about blending strong data engineering foundations with advanced AI/ML capabilities to create impactful, intelligent systems. I thrive in cross-functional environments and enjoy mentoring teams, driving best practices, and turning complex data problems into scalable solutions.

Stackforce AI infers this person is a Data Science Engineer with expertise in Fintech and AI-driven solutions.

Location: Greater Delhi, Delhi, India

Experience: 4 yrs

Skills

Generative Ai
Machine Learning
Mlops
Data Engineering
Natural Language Processing

Career Highlights

Nearly 4 years of end-to-end data science experience.
Expertise in Generative AI and machine learning solutions.
Strong foundation in big data ecosystems and data engineering.

Work Experience

Paytm

Senior Data Scientist (1 yr 1 mo)

Data Scientist - MLOPs (1 yr 11 mos)

IQud Tek LLP

Machine Learning Engineer (1 yr)

FERO.Ai

NLP Intern (2 mos)

Amarendra Deo

Data Scientist

Greater Delhi, Delhi, India4 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Nearly 4 years of end-to-end data science experience.
Expertise in Generative AI and machine learning solutions.
Strong foundation in big data ecosystems and data engineering.

Stackforce AI infers this person is a Data Science Engineer with expertise in Fintech and AI-driven solutions.

Contact

Skills

Core Skills

Generative AiMachine LearningMlopsData EngineeringNatural Language Processing

Other Skills

Team ManagementETL DevelopmentML Model OptimizationData OrchestrationMachine Learning ModelsStatistical TechniquesData IntegrationNLP ResearchMultilingual NLP Model DevelopmentRecommender SystemsArtificial Intelligence (AI)Python (Programming Language)Data AnalysisAmazon Web Services (AWS)Image Segmentation

About

Experience

4 yrs

Total Experience

2 yrs

Average Tenure

3 yrs

Current Experience

Paytm

2 roles

Senior Data Scientist

Promoted

Apr 2025 – Present · 1 yr 1 mo · Noida, Uttar Pradesh, India

As a Senior Data Scientist, I lead AI initiatives across Generative AI, traditional machine learning, and data engineering. My current focus is 50% on building and deploying GenAI solutions for unstructured data using LLMs and RAG pipelines, 30% on developing ML models for structured data, and 20% on designing scalable data pipelines. I also manage and mentor a team of three, driving end-to-end project execution and innovation.

Generative AIMachine LearningData EngineeringTeam Management

Data Scientist - MLOPs

May 2023 – Apr 2025 · 1 yr 11 mos · Noida, Uttar Pradesh, India

As an MLOps Data Scientist, my primary responsibility is to work at the intersection of machine learning and data engineering to develop ETLs, design ML model pipeline architectures, and optimize model performance for integration into the product
ML Problem Statements :- Unsupervised(Anomaly detection, Fraud detection, Customer segmentation) and Reinforcement Learning
Algorithms :- Gaussian Mixture Models(GMMs), DBSCAN, K-nearest neighbors(KNN), Local Outlier Factor (LOF)
Data Orchestration tools :- Apache Airflow, Apache PySpark, Apache Pig
Databases :- SQL, Postgres, Redis, Vector Database(PgVector, Milvus)
Data Warehouse :- Amazon Redshift, Databricks, Snowflake
Additionally - GIT, Docker, Kuberflow, Jenkins

ETL DevelopmentML Model OptimizationData OrchestrationMLOpsData Engineering

Iqud tek llp

Machine Learning Engineer

Apr 2022 – Apr 2023 · 1 yr · Gandhinagar, Gujarat, India · On-site

As a Machine Learning Engineer, My main responsibility was developing, implementing, and maintaining machine learning models that can analyze and interpret complex data and make accurate predictions. I was responsible for designing, implementing, deploying and performing statistical techniques to make scalable machine-learning solutions that can be integrated into various products and services.
ML Problem Statements :- Supervised(Regression and Classification) and Unsupervised(Clustering)
Algorithms :- SVM, Logistic Regression, CATBoost, LightGBM, XGBoost, SVD++, LightFM, DeepFM
Data Orcharsatration tools :- Apache Kafka, Apache Airflow, Apache PySpark, Apache Pig
Databases :- SQL, Postgres, Graph Database(Neo4j), Vector Database(PgVector, Milvus)
Data Warehouse :- Amazon Redshift, Azure Databricks, Snowflake, Google BigQuery
Cloud Platforms - Python Anywhere, Heroku, AWS, AZURE, HuggingFace
Additionally - GIT, Docker

Machine Learning ModelsStatistical TechniquesData IntegrationMachine LearningData Engineering

Fero.ai

NLP Intern

Jan 2022 – Mar 2022 · 2 mos · Ahmedabad, Gujarat, India · On-site

As an NLP Intern, I was responsible for assisting with NLP research and development projects. Here I worked closely with senior NLP Engineers to develop and improve NLP models and algorithms. My responsibilities include data collection, cleaning, and analysis, as well as testing and evaluating NLP solutions.
I had designed & developed a Multilingual NLP Model for a Chatbot(RASA Framework) and Integrate It with different Channels like WhatsApp, Slack, and Facebook.
NLP Problems :- Text Classification, Name Entity Recognatation(NER), Text & Speech Translation
NLP Algorithms :- NaiveBayes, SVM, BERT, BART, GPT3, Transformers, HuggingFace
NLP Frameworks :- NLTK, SpaCy, SparkNLP, Textblob, OpenAI

NLP ResearchMultilingual NLP Model DevelopmentNatural Language Processing