Experience

Data Scientist with 2.5+ years of industry experience spanning analytics engineering, statistical modeling, and applied AI. I started by building the data foundation — designing models, ETL pipelines, and KPI dashboards — then moved into ML, developing forecasting systems, churn models, and RAG pipelines for Fortune 500 clients. Currently focused on Agentic AI, LLM orchestration, and building intelligent systems that go beyond the notebook into production.

Professional Experience

Data Scientist

The Modern Data Company · Hyderabad, India

January 2024 – Present

Architected and deployed a multi-stage ensemble forecasting framework, achieving a 26% improvement in shipment accuracy by isolating high-fidelity demand signals to optimize supply chain inventory capital.
Spearheaded the use of Survival Analysis and Kaplan-Meier estimators to quantify customer churn, achieving a 21% increase in predictive power via advanced behavioral feature engineering.
Executed unsupervised clustering and dimensionality reduction on regional sales data to uncover seasonal trends, increasing reporting efficiency by 19% and enabling targeted marketing strategies.
Pioneered the design of a Retrieval-Augmented Generation (RAG) system using semantic search and vector embeddings to drastically reduce research time and streamline data science workflows.
Engineered high-dimensional predictive architectures utilizing XGBoost and Deep Learning to model brand-level performance, yielding a 33% uplift in shipment forecast accuracy for global distribution operations.

Analytics Engineer

The Modern Data Company · Hyderabad, India

July 2023 – December 2023

Designed and maintained robust data models that served as the single source of truth for business metrics across multiple Fortune 500 client engagements.
Wrote advanced SQL queries and transformations to surface granular insights from complex, multi-source datasets — forming the data foundation for downstream ML pipelines.
Defined and implemented KPIs in collaboration with stakeholders, translating ambiguous business questions into measurable, trackable metrics.
Built and maintained reporting dashboards that gave non-technical teams real-time visibility into business performance and operational health.
Designed and documented ETL workflows to ensure reliable, auditable data flow from raw ingestion through to analytics-ready layers.

Data Analyst Intern

Dr. Reddy’s Laboratories · Hyderabad, India

June 2022 – December 2022

Enhanced critical data integrity for pilot scale ML initiatives by architecting and deploying automated statistical validation pipelines, which resulted in a measurable 30% increase in dataset reliability and feature quality.
Conducted deep-dive Exploratory Data Analysis (EDA) to mitigate systemic data inconsistencies, effectively preventing downstream model bias and ensuring high-fidelity outputs within the global data ingestion pipeline.

Skills

Modeling & Stats

Supervised/Unsupervised LearningXGBoostLightGBMPyTorch / TensorFlowDeep LearningTime SeriesSurvival AnalysisA/B Testing

Generative AI & Agents

Multi-Agent OrchestrationAgentic RAG (LangGraph)LLM Fine-tuning (LoRA/PEFT)Prompt EngineeringGoogle GeminiVertex AIVector DBs (Chroma / Pinecone)Browser Automation AgentsLangfuse (Observability)