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Achievement: Starstruck

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Achievement: Starstruck

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rishabh-panda/README.md

Hello, I'm Rishabh Panda! 🐼

Summary

Business Analyst with experience in the retail sector. Demonstrated expertise in developing products and tools using Python, with a strong focus on data-driven decision-making. A published author in IEEE. Proficient in leveraging SQL, Alteryx, and Tableau, transforming complex data into actionable insights. Adept at collaborating with cross-functional teams to deliver solutions that drive business growth and efficiency.

Awards

  • Retail Spotlight Award - Quarter 1, 2024, Bain & Company
    • Recognized for outstanding performance and valuable contribution to the Retail CoE (Centre of Excellence).

Professional Experience

  • Bain & Company | Analyst
    Jan 2024 – present
    Gurugram, India

    • Reprogrammed client-side Alteryx Designer workflows into optimized Python scripts, incorporating ETL processes to reduce execution time by 27% and significantly enhance data processing efficiency and workflow automation.
    • Optimized SQL scripts in AWS Redshift, boosting data processing by 17%, and managed 500GB+ client data storage in Amazon S3 buckets.
    • Hosted a session in the Retail CoE, which comprises around 100 individuals, showcasing innovative business use cases solved with Python, including those integrated with AI, highlighting the practical applications achieved.
    • Utilized Dask framework for parallel computing & distributed data processing, effectively handling Big Data.

  • Bain & Company | Analyst Intern
    Jan 2023 – Dec 2023
    Gurugram, India

    • Developed dynamic web applications using the Dash framework to overcome specific functional & visualization limitations inherent in Tableau.
    • Managed SQL Server databases for over 7 projects, writing complex queries, improving scalability.
    • Built a custom Python tool to streamline client-end raw data uploads, featuring a user-friendly menu for data manipulation directly on the server, improving efficiency and client data processing capabilities.

  • Highradius Technologies Pvt Ltd | Product Engineering Intern
    Jan 2022 – Apr 2022
    Bhubaneswar, India

    • Created an advanced FinTech web application for managing B2B invoices, integrating AI capabilities.
    • Improved model accuracy by meticulously cleaning and refining raw datasets using Python, enhancing the performance of the machine learning pipeline.
    • Boosted predictive accuracy for customer payment dates by 12%, achieving a robust regression model score of 94%.

Technical Skills

  • Languages & Tools: Python, SQL, C/C++, HTML, CSS, Git, OpenAI
  • Python Libraries: Pandas, Dash, Dask, NLTK, TableauHyperAPI, NumPy
  • Data Visualization: Plotly, Matplotlib, Seaborn, ggplot
  • Tech Stack: Visual Studio Code, SSMS, DBeaver, Alteryx, Tableau, Advanced Excel
  • AWS Services: Amazon Redshift, Amazon S3 Buckets, Amazon EC2

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. 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 1 1

  3. speech-enabled-prescription speech-enabled-prescription Public

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

    Jupyter Notebook 1

  4. 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

  5. engineering-minor-project engineering-minor-project Public

    Engineering Minor Project (EC-3082)-A machine learning-based solution to counter the negative impact of large scale industrial paper production on nature and the economy using Python.

    Jupyter Notebook