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Ishan-Kotian/README.md

Hi there, I'm Ishan Kotian

🎓 Graduate Student in Business Analytics at the Carlson School of Management, University of Minnesota – Twin Cities.

💼 Former Data Analyst at Capgemini with experience in Python, SQL and SAP HANA.

🔍 Passionate about leveraging data to drive business insights and decision-making.

About Me

I've always believed that behind every dataset lies a story waiting to be told and an opportunity to drive impact. As an MS in Business Analytics graduate at the Carlson School of Management ('25), I combine a strong foundation in data science and engineering with hands-on consulting experience to help organizations turn data into strategic advantage.

My recent work at Carlson Analytics Lab includes:

  • Developing an NLP-powered grant-matching platform for a top medical research organization, reducing manual review time by 80+ hours per week.
  • Leading NCAA athlete data analyses using causal inference and experimental design, providing actionable policy and performance insights.
  • Optimizing logistics through Python-based geospatial clustering, improving warehouse efficiency by 18%.

Previously at Capgemini, I automated global sales data pipelines (Python/SQL), built dashboards in Tableau, and delivered $2M+ revenue opportunities through advanced segmentation and pricing analytics.

I'm passionate about leveraging analytics to drive measurable business outcomes in product and marketing analytics. Let’s connect if you’re interested in data-driven decision making or have opportunities where analytics can make a difference!

💻 Tech Stack:

Python R MySQL AWS Google Cloud Streamlit Apache MySQL Keras Matplotlib NumPy Pandas PyTorch scikit-learn Git GitHub Jira Apache Spark Power Bi Docker Tableau Google Gemini Databricks

📫 Let's Connect

LinkedIn

Kaggle

Feel free to reach out for collaboration or just to say hi!

📧 Email: [email protected], [email protected]

📄 Resume

You can view or download my resume here.


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  1. Stock-Price-Forecasting-for-High-Frequency-Trading Stock-Price-Forecasting-for-High-Frequency-Trading Public

    Forecasted NASDAQ auction closing prices in the final 10 minutes using a stacked CatBoost–GRU–Transformer model. Achieved a MAE under $0.25/share, supporting short-term price signal detection for h…

    Jupyter Notebook

  2. Cats-vs-Dogs-Image-Classification-using-ResNet-50 Cats-vs-Dogs-Image-Classification-using-ResNet-50 Public

    Image classification of cats vs. dogs using transfer learning with ResNet-50. Achieved ~98% accuracy using Keras and TensorFlow on the Kaggle Dogs vs. Cats dataset.

    Jupyter Notebook

  3. Boeing-Business-and-Financial-Case-Study Boeing-Business-and-Financial-Case-Study Public

    Business and financial case study analyzing Boeing’s strategy, 5C’s, 4P’s, and financial trends (2018–2023), including recommendations for operational recovery and market expansion.

  4. Real-Time-Movie-Recommendation-System Real-Time-Movie-Recommendation-System Public

    Spring Semester Trends Project

    Python

  5. Measuring-Display-Ad-Impact-A-Causal-Analysis-of-Star-Digital-s-Campaign Measuring-Display-Ad-Impact-A-Causal-Analysis-of-Star-Digital-s-Campaign Public

    Evaluated the effectiveness of Star Digital's display advertising campaign using randomized controlled trial data. Applied causal inference techniques to measure true ad impact while addressing att…

  6. Causal-ROI-Analysis-of-Sponsored-Search-Ads-at-Bazaar.com Causal-ROI-Analysis-of-Sponsored-Search-Ads-at-Bazaar.com Public

    Assessed the return on investment of Bazaar.com's sponsored search ads using Difference-in-Differences regression on a natural experiment. Corrected flawed pre-post estimates by isolating true ad i…