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Achievement: Starstruck

Achievements

Achievement: Starstruck

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rishabh-panda/README.md

Hello, I'm Rishabh Panda!

Summary

Results-driven Data Engineer, Backend Developer, and Business Analyst with 2+ years of experience in designing, building, and testing scalable data and AI-driven solutions. Proficient in Python, SQL, Alteryx, FastAPI, and advanced Prompt Engineering, with expertise in leveraging Generative AI and LLMs for automation, analytics, and product development.

  • Migrated Alteryx Designer 2020.3 workflows to robust Python & SQL-based ETL pipelines, optimising I/O-heavy processes and reducing manual migration efforts by 95% and turnaround time by 30% using GenAI.
  • Designed and scaled a Sentiment Analysis tool for an Australian Pub Chain, enabling customer sentiment tracking and insights at scale.
  • Built an OCR-powered competitor intelligence tool using Azure Document Intelligence + GPT-5 LLM for a Dutch-Belgian multinational retail & wholesale holding company, extracting SKU data from product images. Achieved 70% reduction in turnaround time through parallel processing, caching, and image pre-processing techniques.
  • Developed and deployed backend services with Uvicorn, FastAPI, and SwaggerUI for testing and production-grade scalability.
  • Organised and led 5 intra-CoE technical sessions (3 on GenAI) and a 1-day bootcamp for 115+ participants, covering Custom GPT configuration, API integration, zero-defect prompt engineering, and AI-driven client-facing accelerators.

Awards

  • Retail Spotlight Award – Q1 2024, Bain & Company
    • Recognised for outstanding performance and valuable contribution to the Retail CoE.
  • Retail Spotlight Award – Q4 2024, Bain & Company
    • Recognised for exceptional contributions and performance within the Retail CoE.
  • Retail Spotlight Award – Q2 2025, Bain & Company
    • Awarded for exceptional performance, technical innovation, and impactful delivery within the Retail CoE.

Technical Skills

  • Languages & Tools: Python, SQL, C/C++, HTML, CSS, Git, FastAPI, Uvicorn, SwaggerUI, OpenAI
  • Python Libraries: Pandas, LangChain, Boto3, Dash, Dask, NLTK, TableauHyperAPI, NumPy, PyODBC, psycopg2
  • Data Visualization: Plotly, Matplotlib, Seaborn, ggplot
  • Tech Stack: Visual Studio Code, SSMS, DBeaver, Alteryx, Tableau, Advanced Excel
  • Cloud & Services: Amazon Redshift, Amazon S3, Amazon EC2, Azure Document Intelligence

Feel free to connect with me on LinkedIn to discuss analytics, data, or anything tech-related.


Rishabh's GitHub Stats

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  1. digital-signal-processing digital-signal-processing Public

    Fundamental continuous and discrete-time signals and their implementations using Matrix laboratory. Concepts include CTS, DTS, Amplitude modulation, Amplitude demodulation, Double sideband suppress…

    Python 21 4

  2. speech-enabled-prescription speech-enabled-prescription Public

    Speech Enabled Medical Prescriptor using Google Web Speech API and SpeechRecognition.

    Jupyter Notebook 1

  3. color-space-translator color-space-translator Public

    Converting colors from RGB to HSI of an image given in RGB color space by computing the Hue (H), Saturation (S), Intensity (I) percentages and vice-versa.

    Python 3

  4. applied-openai-llms applied-openai-llms Public

    Test scripts for running advanced prompts on OpenAI models using API keys

    Jupyter Notebook

  5. filebatch-prefixer filebatch-prefixer Public

    A Python script designed to simplify file organization by automatically adding or updating date prefixes to filenames based on their modification dates or existing prefixes. This tool is particular…

    Python

  6. microwave-engineering-files microwave-engineering-files Public

    This repo contains my engineering lab experiment simulations and reports for MWE. Softwares Used: CST Studio Suite 2019, Scilab 6.1.0. MWE is the area of science and technology concerned with the s…

    Scilab 2 1