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Sk Ekbal

@skekbal

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Senior Data Scientist & ML engineer building production-ready GenAI, RAG, and predictive models.

India

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What I'm looking for

I’m looking for a role where I can build production-ready GenAI (RAG/agentic AI) and predictive models end-to-end, with strong MLOps practices, model monitoring, and close stakeholder collaboration. I want to mentor teams and deliver measurable business value.

I’m a Senior Data Scientist / Machine Learning Engineer with 8.5 years of experience designing, developing, and deploying end-to-end data science, machine learning, predictive analytics, NLP, GenAI, RAG, and agentic AI solutions. I focus on production outcomes—reliability, maintainability, and measurable business impact—backed by strong Python and SQL expertise.

At Thermo Fisher Scientific, I built and optimized RAG pipelines using vector databases (FAISS, Pinecone, MongoDB Atlas) to enhance retrieval accuracy and minimize hallucinations. I also designed knowledge graphs (Neo4j, RDF/SPARQL) for contextual reasoning and explainable AI outputs, and I developed agentic AI solutions with LangChain, LlamaIndex, and AutoGen for autonomous task execution and multi-agent orchestration. On an AI Assistant for E-Commerce initiative, I deployed the solution and improved product search efficiency by 35%, while leading a 5-member development team.

Earlier, I delivered forecasting and predictive models for EV battery State of Charge and vehicle range, and I led end-to-end projects covering problem definition, EDA, feature engineering, evaluation, and deployment support. I’ve also supported business-critical analytics like safety risk prediction—resulting in a 25% reduction in workplace incidents—and HR lending/attrition modeling using robust ML evaluation. I’m energized by ML lifecycle management, monitoring concepts, retraining strategies, and stakeholder collaboration that turns data into action.

Experience

Work history, roles, and key accomplishments

Current

Engineer II, Data Scientist

Current

Thermo Fisher Scientific

Aug 2024 - Present (1 year 9 months)

Built production-ready RAG and agentic AI systems using vector databases and knowledge graphs to improve semantic retrieval and reduce hallucinations. Deployed an e-commerce AI assistant that improved product search efficiency by 35% and increased engagement/conversions by 25%, while mentoring a 5-member team.

RAG Vector Databases Knowledge Graphs LlamaIndex AutoGen Prompt Engineering Embeddings REST API Model Serving Model Evaluation

Assistant Manager (Data Scientist)

Livguard EV-Drivetrain Private Limited

Nov 2023 - Aug 2024 (9 months)

Led end-to-end analytics for EV battery swapping operations, building predictive and forecasting models for state of charge (SOC) and vehicle range from sensor and usage data. Delivered actionable insights to senior management and supported operational decision-making using regression/deep learning models evaluated with MAE/MSE/RMSE.

Regression Modeling Deep Learning Feature Engineering EDA Hyperparameter Tuning Model Evaluation Predictive Analytics Data Validation

Data Scientist

Learnvista Private Limited

Aug 2022 - Oct 2023 (1 year 2 months)

Developed supervised ML models for predictive analytics and recommendation systems using Python, SQL, Spark/PySpark, and scikit-learn. Built industrial safety analytics that applied NLP to incident reports and implemented data-driven recommendations, reducing workplace incidents by 25%.

Python SQL Pyspark Hive scikit learn NLP Clustering Anomaly Detection Feature Engineering

Senior Assistant (Data Services)

DXC Technology

Jul 2018 - Apr 2022 (3 years 9 months)

Designed and implemented data science workflows across classification, clustering, regression, and dimensionality reduction, covering data prep, EDA, visualization, model training, and evaluation. Built loan repayment and employee attrition models, achieving approximately 80% accuracy for loan prediction and supporting HR decision-making using ROC-AUC and F1-based evaluation.

Classification Clustering regression Dimension Reduction EDA Feature Engineering Model Evaluation Cross Validation Data Visualization

Operations Associate

First Advantage Private Limited

Aug 2014 - Jul 2017 (2 years 11 months)

Managed operational workflows including data validation, quality checks, and reporting while performing analytical work to support business decisions. Built sentiment analysis and fraud prediction models using text/transaction feature engineering and classification, evaluating performance with confusion matrix, precision/recall, F1, and ROC-AUC.

Operations & Analytics Data Validation Sentiment Analysis Fraud Models Transaction Feature Engineering Classification Model Evaluation Confusion Matrix ROC AUC

Education

Degrees, certifications, and relevant coursework

Indira Gandhi National Open University (IGNOU)

Bachelor of Computer Applications, Computer Applications

Completed a Bachelor of Computer Applications (BCA) program from IGNOU in New Delhi.

Indira Gandhi National Open University (IGNOU)

Certification Course, Python, Statistics, Machine Learning, ASP.NET

Completed a certification course covering Python, statistics, machine learning, and ASP.NET, with additional exposure to AWS Well-Architected, Azure AI/ML, Azure OpenAI, Databricks, GenAI, RAG, and agentic AI.