Nilanjan Das

Data Analyst

Bengaluru, Karnataka, India4 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data engineering and business intelligence.
Proficient in developing AI-driven solutions.
Strong background in data science and research.

Stackforce AI infers this person is a Data Engineering and AI specialist with a focus on business intelligence and research.

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Skills

Core Skills

Data EngineeringBusiness IntelligenceArtificial IntelligenceData Science

Other Skills

Agile MethodologiesAnalytical SkillsAnalyticsApplied PhysicsArtificial Intelligence (AI)Azure Data FactoryAzure DatabricksAzure SQLCI/CDClassificationConsumer Packaged Goods (CPG)Data AnalysisData AnalyticsData BricksData Visualization

Experience

4 yrs 2 mos

Total Experience

2 yrs

Average Tenure

Current Experience

Nihilent

2 roles

Data Analyst

Nov 2024 – Sep 2025 · 10 mos · On-site

In a client-facing development role, I have been responsible for designing and implementing robust data solutions to drive business intelligence and automation. My work includes:
Building and maintaining ETL pipelines using Azure Databricks, ADF, and CI/CD processes integrated with Git for version control and streamlined deployment.
Utilizing Kafka to manage and streamline real-time data flow across distributed systems.
Developing and integrating GenAI-powered chatbots to deliver contextual summaries, enable interactive data visualizations, and support intelligent user experiences.
Empowering users with conversational interfaces to perform actions such as request creation and incident logging, leveraging the capabilities of Generative AI.
Automating complex data extraction and transformation workflows using Python and Large Language Models (LLMs).
Built and maintained Power BI dashboards for real-time KPI monitoring and business reporting.
Actively participating in Agile delivery cycles through Jira, contributing to sprint planning, estimation, and cross-functional collaboration.
Delivering tailored analytics solutions to enterprise clients across ITSM, Oil & Gas, and FMCG sectors, ensuring alignment with their strategic goals.

GitAgile MethodologiesData BricksCI/CDKafka StreamsGenerative AI Tools+7

Trainee Data Analyst

May 2024 – Nov 2024 · 6 mos · On-site

The university of burdwan

Research Analyst

Aug 2020 – Jun 2023 · 2 yrs 10 mos · Greater Kolkata Area · On-site

In an academic research setting, I applied data science techniques to study biomolecular interactions with fabricated membranes. Key achievements and learnings include:
Conducted quantitative research and data analysis to explore physicochemical behaviors in membrane systems.
Applied Python for data preprocessing, feature engineering, and building predictive models for material optimization.
Created impactful data visualizations to support scientific storytelling in research publications and presentations.
Collaborated in interdisciplinary research efforts, resulting in peer-reviewed journal publications
Gained deep insights into biomolecular dynamics, material science, and the integration of data science in research workflows

PythonData AnalysisData VisualizationStatistical Data AnalysisData Science