Summary
Overview
Work History
Education
Skills
Projects
Leadership & Extracurriculars
Timeline
BusinessAnalyst

Nakul Sharma

https://www.linkedin.com/in/nakul-sharma-2b14461b2/

Summary

Results-oriented business analyst with a strong foundation in data engineering, machine learning, and artificial intelligence (AI). Expertise in designing cloud-native ETL frameworks, optimizing data workflows, and developing AI-driven solutions. Committed to delivering innovative, scalable systems that drive efficiency and support business objectives.

Overview

5
5
years of professional experience

Work History

Business Analyst

Barclays Bank Plc
Pune
08.2023 - Current
  • Engineered scalable AWS DMS pipelines to hydrate high-volume Oracle databases (1B+ rows) into S3 for Machine Learning model training; built config-driven, reproducible data workflows using Lambda, Glue, Athena, IAM, Lake Formation, EventBridge, and CloudFormation, reducing expected delivery time by 90 days compared to existing pipelines.
  • Developed Daf-E (DataForge Engine), a cloud-native, no-code ETL framework for data ingestion, transformation, and scheduling across S3 data lake layers; enabled non-AWS users to build automated analytic workflows, reducing feed processing time by at least 50%.
  • Designed and optimized large-scale data pipelines and workflows, ensuring scalability, reliability, and cost efficiency across cloud-based platforms.
  • Implemented robust data quality, validation, and governance frameworks, ensuring accuracy, consistency, and compliance for analytics and machine learning initiatives.

Business Analyst • Internship

Barclays Bank
Pune
05.2022 - 07.2022
  • I built jenkins pipelines to automate the CI/CD process
  • Built a dashboard in Grafana linked with SQL Database.
  • Worked on developing semantic analysis models for some NLP use-cases at customer end.

Junior Machine Learning Engineer • Internship

Omdena
Virtual
09.2021 - 02.2022

Built and optimized ML models for detection and prediction of global forest fires using sensor apparatus developed by Dryad Networks GmbH; leveraged time-series analysis and predictive modeling to enhance early warning and risk mitigation.

Artificial Intelligence Intern • Internship

Bariflo Labs Private Limited
Virtual
10.2020 - 09.2021
  • Company Overview: It is an aquaculture based company
  • I worked on developing marine life detection models using Computer vision and Weather condition detection models.
  • I also applied for a patent with a company for a Feed Detection System.
  • It is an aquaculture based company

Data Science Intern • Internship

Dataoms
Virtual
12.2020 - 05.2021
  • Developed an anomaly detection system for real-time DG motor sensor streams using an autoencoder-based architecture; leveraged H2O for model optimization, improving fault detection accuracy and operational reliability.

Education

Bachelor of Technology (B.Tech) - Computer Science

NIT Rourkela
01.2023

Senior Secondary (XII) - Science

Saupins
01.2019

Skills

  • Programming & Data Science: Python, SQL, Data Science Methodologies, Microsoft Excel, spark, C
  • Machine Learning & AI: Machine Learning, Deep Learning, Neural Network Design, Natural Language Processing (NLP), Computer Vision, scikit-learn,scipy, tensorflow, keras, OpenCV, Hugging Face, LangChain
  • Cloud & Big Data (AWS): Amazon EC2, AWS Lambda, Amazon S3, AWS Glue, AWS Cloud Services
  • Data Engineering & ETL: ETL Process Management, Data Governance Practices, Data Pipeline Design
  • Optimization & Integration: Model Optimization, Automation, Scalable Data Solutions

Projects

Intelligent Q&A Chatbot with RAG and LLMs

  • Designed and implemented a Retrieval-Augmented Generation (RAG) chatbot leveraging Large Language Models (LLMs) from Hugging Face for context-aware Q&A.
  • Integrated vector databases and embeddings for efficient document retrieval, enabling accurate responses from domain-specific knowledge bases.

AI-Powered Complaint Forum (Hackathon – IIT Guwahati, 2nd Place)

  • Developed an AI-driven complaint classification system using NLP models (BERT, DistilBERT) and LLMs to automatically categorize complaints and route them to the relevant department.
  • Applied data augmentation techniques to enhance training data quality, improving model accuracy and robustness for multi-class text classification.
  • Delivered a scalable and automated solution that streamlined complaint handling, reducing manual triage efforts and improving response efficiency.

Hippocampus Activity Monitoring (Indo-Korean Research Project)

  • Collaborated with a professor on an EEG-based research project to predict hippocampus activity related to leukemia triggers and reactions.
  • Developed hybrid time-series detection models by combining traditional statistical approaches (ARIMA/VAR) with deep learning methods (LSTMs) for improved accuracy.

Leadership & Extracurriculars

  • Project Lead – Cyborg (Robotics Club, NIT Rourkela): Directed robotics projects, mentored team members, and organized workshops/competitions to foster innovation in robotics and automation.
  • Secretary – ML4E (Machine Learning Club, NIT Rourkela): Coordinated technical sessions, hackathons, and research discussions, promoting hands-on learning in AI/ML applications.
  • Vice President – DrillNBass (Music Society, NIT Rourkela): Led cultural initiatives, managed events and performances, and enhanced student engagement through music and creative arts.

Timeline

Business Analyst

Barclays Bank Plc
08.2023 - Current

Business Analyst • Internship

Barclays Bank
05.2022 - 07.2022

Junior Machine Learning Engineer • Internship

Omdena
09.2021 - 02.2022

Data Science Intern • Internship

Dataoms
12.2020 - 05.2021

Artificial Intelligence Intern • Internship

Bariflo Labs Private Limited
10.2020 - 09.2021

Bachelor of Technology (B.Tech) - Computer Science

NIT Rourkela

Senior Secondary (XII) - Science

Saupins
Nakul Sharma