🚀 PROFESSIONAL SUMMARY

Results-driven Senior Data Scientist with 8+ years of expertise in Generative AI, Machine Learning, and MLOps. Proven track record of delivering high-impact AI solutions that drive operational efficiency and cost reduction. Specialized in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures. Successfully led cross-functional teams to deploy scalable AI systems across telecommunications and analytics domains.

💡 CORE COMPETENCIES

🖥️ Programming & Development

Python (Advanced) SQL Statistical Modeling MLOps MLflow DVC CI/CD Docker Git

🤖 Generative AI & ML

Large Language Models RAG LangChain LlamaIndex PyTorch TensorFlow Keras Scikit-learn XGBoost NLP

🔧 Agentic Frameworks

LangChain Agents Crew.AI AutoGen OpenAI Function Calling Multi-Agent Architecture Task Decomposition Memory Management

☁️ Cloud & Visualization

Azure GCP AWS Power BI Tableau A/B Testing Anomaly Detection Predictive Modeling

💼 PROFESSIONAL EXPERIENCE

Senior Data Scientist
Fractal Analytics, Gurgaon
Nov 2023 - Present
  • Architected and deployed advanced predictive models using state-of-the-art machine learning algorithms, resulting in 25% improvement in model accuracy
  • Collaborated with cross-functional teams to streamline data processing workflows, reducing processing time by 40%
  • Delivered data-driven solutions that enhanced decision-making capabilities and operational efficiency across multiple client engagements
  • Mentored junior data scientists on best practices in ML model development and deployment
Data Scientist
Ericsson, Noida
Nov 2021 - Oct 2023
  • Led AI model development initiatives to enhance customer experience and operational efficiency for telecommunications clients
  • Designed and executed A/B testing strategies that improved user experience metrics by 30%
  • Automated data classification workflows using NLP techniques, reducing manual effort by 60%
  • Created interactive dashboards and visualization tools for stakeholder reporting and decision support
Data Scientist
Milliman, Gurgaon
Apr 2020 - Oct 2021
  • Performed comprehensive statistical analyses driving actionable insights and operational strategy improvements
  • Built interactive dashboards using Power BI and Tableau to support data-driven decision making
  • Developed predictive models for risk assessment and actuarial analysis in insurance domain
Software Engineer
Conduent, Gurgaon
Sep 2018 - Mar 2020
  • Utilized SQL and Python for large-scale data manipulation, analysis, and ETL pipeline development
  • Conducted statistical analyses that enhanced customer experience and operational metrics
  • Implemented data quality frameworks ensuring 99.5% data accuracy across processing pipelines

🎯 KEY PROJECTS & ACHIEVEMENTS

1. Billing SLM: AI-Powered Customer Billing Solution | Verizon
  • Fine-tuned Phi-3.5-mini model using Supervised Fine-Tuning (SFT) to resolve customer billing queries from complex JSON data
  • Automated bill summary generation and structured data creation using BigQuery, improving processing efficiency by 50%
  • Standardized diverse billing formats for efficient LLM training and inference across multiple systems
  • Reduced context length by 50%, significantly improving response speed and model efficiency
Impact: Achieved 85%+ accuracy on contextual billing Q&A, improved query response time, and reduced operational costs
Technologies: Phi-3.5-mini, Gemini Flash, Python, GCP, JSON, SFT
2. Network Genie: Generative AI Platform for Field Engineers | Verizon
  • Developed a comprehensive AI platform for field engineers and executives to streamline information retrieval and enhance operational efficiency
  • Designed and implemented RAG system for generating contextually relevant responses to technical and executive queries
  • Built multiple specialized agents for different data sources, optimizing query routing and response accuracy
  • Reduced system latency by 30% through optimized retrieval processes and caching mechanisms
Technologies: GPT-3.5-turbo, BAAI/bge-small-en-v1.5, Python, LangChain, FAISS
3. Reliability: Anomaly Detection for Sensor Data | C3 AI
  • Designed and implemented autoencoder models to accurately reconstruct sensor data addressing high-dimensional, noisy, and missing data challenges
  • Achieved 25% reduction in false positives compared to traditional anomaly detection methods
  • Enhanced sensor network reliability by reconstructing missing or corrupted sensor readings with 95% accuracy
Technologies: TensorFlow, Keras, PySpark, Python
4. Intelligent Field Work-Order Optimization | Ericsson
  • Developed predictive models to optimize operational costs by intelligently prioritizing relevant work orders
  • Leveraged advanced NLP techniques for analyzing unstructured text data, resulting in 35% cost savings
  • Improved operational efficiency by reducing work order volumes through data-driven prioritization strategies

🎓 EDUCATION

Master of Science (MSc) in Financial Engineering
WorldQuant University | Expected Apr 2027
Post Graduate Diploma (PGDM) in Business Analytics
Alliance University, Bangalore | Completed Jan 2022
Post Graduate Program (PGP) in Data Science
Springboard, Bangalore | Completed Nov 2020
Bachelor of Technology (B.Tech) in Computer Science & Engineering
IMS Engineering College | Completed Jun 2017

📜 CERTIFICATIONS

🎯 Machine Learning Advanced Level - Ericsson
🤖 Building End-to-End Generative AI Applications - Analytics Vidhya
🔧 Building Production-Ready RAG Systems Using LlamaIndex - Analytics Vidhya
⚡ Machine Learning Experienced Level - Ericsson
💡 Building LLM Applications Using Prompt Engineering - Analytics Vidhya

🏆 AWARDS & RECOGNITION

🔬 Patent Granted: "Operation Prediction in Wireless Communication Network"
⭐ Star of the Month Award for outstanding contributions to AI/ML projects
🚀 Successfully led 15+ high-impact AI and machine learning projects across telecommunications and analytics domains
💼 Recognized for developing scalable and efficient data science solutions that drove business value

🔍 TECHNICAL KEYWORDS

Machine Learning • Artificial Intelligence • Deep Learning • Natural Language Processing • Large Language Models • Generative AI • RAG • LangChain • Python • SQL • TensorFlow • PyTorch • MLOps • Cloud Computing • Data Science • Predictive Analytics • Anomaly Detection • Statistical Modeling • A/B Testing • Data Visualization