Sunny Verma

Sunny Verma

+•• ••••• •••••••••••@•••••.com

Ex Data Scientist @Spinnaker Analytics | Generative AI | Data Scientist & Analyst | Machine Learning | Deep Learning | Power BI & Tableau | Building End-to-End Data Projects · 0.5 yrs

I’m Sunny Verma, a Data Scientist & Analyst specialized in building end-to-end Machine Learning pipelines and GenAI applications. During my time as a Data Scientist Intern at Spinnaker Analytics, I focused on processing and analyzing complex datasets of 200,000+ records to drive actionable business solutions and develop custom AI tools. My work centers on bridging traditional data analytics with modern Large Language Model (LLM) architectures. 🔹 Core Capabilities: Data Analytics & Visualization: Python, SQL, Exploratory Data Analysis (EDA), Business Intelligence Machine Learning & Modeling: Predictive Modeling, Feature Engineering, Deep Learning Generative AI & LLMs: RAG Architectures, LangChain, LangGraph, Prompt Engineering, LLM Integration 🔹 What Drives Me: I'm passionate about solving real-world business problems through data-driven decisions and cutting-edge AI—whether that’s automating complex workflows or building intuitive RAG-based systems. 📌 Looking For: Full-time opportunities as a Data Scientist, Data Analyst, ML Engineer, or GenAI/LLM Developer. 📩 Open to connecting with fellow practitioners, recruiters, and tech enthusiasts!

  • Delhi
  • Open to Delhi · Noida
  • Hybrid, On-site, Remote
  • In 15 days

Ask about Sunny

Skills

Claimed

Microsoft ExcelSQL ProgrammingWork Planning and PrioritizationAdaptabilityTaking OwnershipFocused WorkTime ManagementHR AnalyticsCustomer Churn PredictionDecision Tree ModelingRandom Forest ModelingEnsemble Learning

Proof of Experience

Data Scientist

Spinnaker Analytics · Jan 2026 – Jul 2026

  • Architected end-to-end data analytics pipelines and machine learning solutions to extract actionable insights from large-scale complex datasets.
  • 🔹 Key Contributions & Impact:
  • Data Processing at Scale: Processed, cleaned, and engineered features for 200,000+ raw data records using Python (Pandas, NumPy) and SQL, improving data quality and feature relevance.
  • Machine Learning & Analytics: Built, evaluated, and tuned predictive ML models (Classification, Regression, EDA) to translate raw data into business intelligence dashboards and operational insights.
  • Generative AI & LLM Exploration: Developed experimental RAG (Retrieval-Augmented Generation) workflows and prompt logic using LangChain to automate information retrieval from unstructured datasets.
  • Cross-Functional Collaboration: Partnered with senior data teams to present model performance metrics, data visualizations, and strategic recommendations.

Proof-of-Work

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Proof of Education

Bachelor of Arts

University of Lucknow · 2024 — 2026

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