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Nikita Sharma

AI Engineer and Data Scientist with ~4 years of experience building scalable Machine learning and Generative AI solutions. Specialized in NLP, Retrieval-Augmented Generation (RAG), data analytics automation, and customer intelligence. Known for driving real-time insight generation, optimizing marketing operations, and developing low-latency tools using LLMs and Python. Recognized for reducing manual effort, boosting analytics ROI, and accelerating business decisions through innovation.
  • Role

    Senior Associate Data Science (AI & Analytics)

  • Years of Experience

    4.2 years

Skillsets

  • Prompt Engineering
  • Scikit-learn
  • Diffusion models
  • Azure
  • HuggingFace
  • TensorFlow
  • Tealium IQ
  • Streamlit
  • SQL
  • Regression
  • rag
  • PyTorch
  • Python
  • Adobe Analytics
  • pandas
  • NumPy
  • NLP
  • Neural Networks
  • LLMs
  • LangChain
  • Heap.io
  • Google Analytics
  • FastAPI
  • EDA
  • Data Modeling
  • clustering

Professional Summary

4.2Years
  • Aug, 2021 - Present4 yr 6 months

    Senior Associate Data Science (AI & Analytics)

    Fiserv

Applications & Tools Known

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    NLP

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    TensorFlow Hub

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    Tealium

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    Streamlit

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    SQL

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    scikit-learn

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    Rag

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    Python

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    PyTorch

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    Pyspark

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    Pandas

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    Openai Api

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    NumPy

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    Adobe Analytics

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    Neural Networks

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    LLM

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    Keras

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    Azure Ai

Work History

4.2Years

Senior Associate Data Science (AI & Analytics)

Fiserv
Aug, 2021 - Present4 yr 6 months
    Generative AI & NLP Automation: Built a RAG-based assistant (searchGPT) using GPT-3.5, LangChain, and Streamlit to answer real-time business queries by retrieving internal knowledge; cut research time by 70% for the marketing intelligence team. Designed an insight generation tool using Streamlit that ingests CSV, PDF, or pasted text, auto-generates insights using LLM prompts, and summarizes findings for business teams reduced manual insight creation by 80%. Email Analytics & API Automation: Automated email content analysis across geographies using Populo API, reducing email report generation from 3 hours to 10 minutes, enabling targeted campaign diagnostics. Leveraged Adobe Experience Platform APIs to pull real-time campaign data and auto-generate client-facing PPTs reduced turnaround time from 2 hours to under 2 minutes and saved ~20 hours/week in manual effort. Search Optimization & Text Analytics: Applied BERTopic and HDBSCAN to 56,000+ support queries for thematic clustering; generated topic-wise summaries using LLMs to improve FAQ mapping and content strategy. Improved internal search success rate by 60% through fuzzy query matching (Levenshtein logic), auto-correction, and semantic keyword expansion across 48 websites. Analytics & Web Intelligence: Designed 135+ real-time data pipelines using Adobe Analytics, Google Analytics, and Tealium IQ for product performance, funnel optimization, and anomaly tracking. Created interactive dashboards and alert systems (Adobe, Heap.io) used by product teams to monitor engagement metrics on a basis. Automated marketing campaign workflows using Adobe Campaign optimized targeting and contributed to a 7% increase in product sales over 2 quarters. Leadership & Recognition: Conducted internal workshops on Python and Machine Learning for 30+ colleagues to build AI readiness across teams. Led Women in Tech initiatives, organizing monthly sessions to promote skill-building and mentorship. Trailblazer Award, Fiserv Annual Awards 2023 for pioneering Gen AI automation in analytics workflows.

Major Projects

1Projects

Quality Prediction of Red Wine using Machine Learning Techniques

Education

  • M.Tech Artificial Intelligence and Machine Learning

    BITS Pilani
  • B.Tech Computer Science & Engineering

    IMS Engineering College (2021)