Arpit Rawat

Business Analyst

New Delhi, Delhi, India3 yrs 8 mos experience

Highly Stable

Key Highlights

3+ years of experience in data analytics and machine learning.
Expertise in Generative AI and Large Language Models.
Proficient in building predictive models and interactive dashboards.

Stackforce AI infers this person is a Data Analyst with strong expertise in SaaS and AI-driven analytics.

Contact

Skills

Core Skills

Machine LearningData AnalysisLarge Language Models (llm)EtlData Visualization

Other Skills

PythonSQLTableauPower BIPredictive ModelingData CleaningData CollectionStatistical Data AnalysisAWS SageMakerHypothesis TestingDashboardsPresentation SkillsSoft SkillsAnalyticsQuantitative Analytics

About

Highly motivated and detail-oriented Data Analyst with 3+ years of experience in statistical modelling, machine learning, and data visualisation, along with hands-on expertise in Generative AI and Large Language Models (LLMs). Proficient in Python, SQL, and Excel, with practical experience in building predictive models, fine-tuning LLMs, developing RAG pipelines, and applying prompt engineering for business use cases. Skilled at data manipulation, trend analysis, and delivering actionable insights through interactive dashboards in Tableau and Power BI. Adept at solving complex problems and committed to continuous learning and innovation in AI. Seeking a Data Scientist role to apply advanced analytics and GenAI expertise in driving impactful business solutions.

Experience

3 yrs 8 mos

Total Experience

3 yrs 4 mos

Average Tenure

4 mos

Current Experience

Hoi - your travel companion

Operational Analyst

Jan 2026 – Present · 4 mos · New Delhi, Delhi, India · On-site

Ocube services

Data Analyst

May 2022 – Sep 2025 · 3 yrs 4 mos · Noida, Uttar Pradesh, India

Designed and implemented predictive ML models (classification & regression) to optimise business decision-making, improving accuracy by 20%.
Built RAG-based GenAI assistant integrating LangChain and vector DB (FAISS/Pinecone) for knowledge retrieval, reducing manual query resolution time.
Automated ETL pipelines with Python & SQL, processing datasets of 10M+ records, reducing data preparation time by 40%.
Conducted EDA and hypothesis testing on large datasets to derive customer insights and improve retention strategy.
Developed interactive dashboards in Tableau and Power BI, enabling leadership to track KPIs in real time.
Deployed ML models on AWS SageMaker with continuous monitoring for performance and drift.
Fine-tuned LLMs for internal knowledge automation, improving response accuracy and reducing manual effort.

Machine LearningLarge Language Models (LLM)PythonSQLData VisualizationTableau+10