Nandan Pandey

AI Researcher

Hyderabad, Telangana, India5 yrs 8 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in developing AI-driven data solutions.
Proven track record in optimizing data pipelines.
Skilled in machine learning and deep learning applications.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on analytics and machine learning.

Contact

Skills

Core Skills

LangchainRetrieval-augmented Generation (rag)Machine LearningXgboostData VisualizationData Analysis

Other Skills

AirflowAmazon EC2Amazon QuickSightAthenaBitbucketBusiness AnalysisBusiness AnalyticsC (Programming Language)C++Deep LearningDjangoFAISSGenAIGitGoogle Ads

About

AI enthusiast with 4 years of experience in Data Specific domain. My expertise lies in Data Cleaning, Creating ETL pipelines, Optimisation and provide valuable insights through dashboard that helps businesses in taking decisions on time resulting in revenue growth. Experienced in using Python, SQL, Pandas, Pyspark, Jenkins, Airflow, Git and APIs Also experienced in creating RAG application using Langchain, VectorDBs, Hierarchical Retrieval and Reranking Technique. I have expertise in Maths, Statistics, Machine Learning and Deep learning concepts such as CNN, RNN, NLP, Transformers.

Experience

5 yrs 8 mos

Total Experience

1 yr 9 mos

Average Tenure

8 mos

Current Experience

Cloudangles

Senior AI Engineer

Oct 2025 – Present · 8 mos · Hyderabad, Telangana, India · On-site

Policybazaar for business

3 roles

Assistant Manager - Analytics

Apr 2025 – Oct 2025 · 6 mos

AI Engineering: Developed a multi-agent chatbot using LangChain to process and store PDFs and FAQs as FAISS embeddings,
enabling LLM-driven, context-rich responses to policy and claim queries. Created a SQLDatabaseChain as a fallback
for retrieval from RAG Chain and Used Rank Fusion technique to ReRank chunks for better precision. Target is to
reduce CRM agent workload by 30–35% through RAG Pipeline.

Problem SolvingProject CoordinationLangChainGenAIFAISSRetrieval-Augmented Generation (RAG)+1

Team Leader - Analytics

Apr 2023 – Mar 2025 · 1 yr 11 mos

1. Developed a lead scoring system across products using customer journey data and call interaction data and Wordcloud
of sales pitch, leveraging XGBoost and classified leads into high and low priority, achieving a 7% uplift in conversion.

Problem SolvingPySparkPandasAirflowGitBitbucket+9

Senior Analyst

Dec 2021 – Mar 2023 · 1 yr 3 mos

Developed numerous dashboards for product, marketing and business stakeholders to track KPIs and take data driven
decision in real time that saves 25+ hours per week of manual work using Python, Pandas, SQL, REST APIs and
Quicksight(Visualisation).
Setup the Data Pipeline using CI/CD Pipeline & ETL and migrate data from Replica Database to Athena/Hive and setup
the auto deployment using Jenkins and automated scheduling via Airflow with 99% consistency across multi-source
data integrations using automated schema checks.

Problem SolvingPythonSQLPandasRestAPIGoogle Sheets+7