Hi, I'm Shloki!

I'm a Master's student in Data Science at the University of Michigan, Ann Arbor, passionate about transforming complex data into meaningful insights. I've worked with diverse datasets ranging from financial trends and sports analytics to NLP and predictive modeling, leveraging machine learning, statistical analysis, and visualization to drive impactful solutions

Actively seeking full-time opportunities in Data Science & ML from May '25.

Related Experience

Data Scientist Intern

Rocket Mortgage | May 2024 - Aug 2024

Worked on predictive modeling and data analysis to enhance mortgage approval processes.

Curriculum Development and Revision Aide (CDRA)

University of Michigan - School of Information | Oct 2023 - May 2024

Beta tested and improved Business SQL and Applied NLP courses to enhance student learning.

Data Analyst Intern

MedTourEasy | Sept 2022 - Oct 2022

Predicted blood donations using statistical modeling and data visualization techniques.

Research Assistant

University of Michigan - School of Public Health | Ongoing

Building relational databases and analytical dashboards for an mHealth research study using RShiny.

Projects

  • Lyrics Based Search Engine

    Evaluated ranking models for a lyrics-based search engine using MAP, NDCG scores, for statistical and semantic ranking models.

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  • Net Gains

    Assessed 50,000 soccer matches through statistical analysis, data manipulation, and classification modeling to uncover match outcome patterns.

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  • News Category Prediction

    Used NLP & ML on the MIND dataset (100k+ articles) for news categorization, sentiment analysis, and personalized recommendations.

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  • Predicting Travel Mode Choice

    Machine learning-based travel mode prediction using NHTS 2017, analyzing income, fuel prices, and vehicle usage for sustainable transport planning.

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  • Twitter Sentiment Analysis

    Analyzed and classified tweets by sentiment using machine learning, applying text analysis techniques like tokenization and lemmatization.

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  • Mine Escape

    Developed an optimal pathfinding algorithm using priority-based search to simulate a miner’s escape, implementing multiple priority queue structures.

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  • Among Us

    Applied graph algorithms to optimize travel routes, solving MST and TSP problems with heuristic and branch-and-bound techniques.

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  • Fakebook Database System

    Designed a relational database for a social media platform using SQL and ER modeling, integrated JDBC, and migrated analytics to MongoDB.

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  • IR Search Engine

    Built a search engine from scratch, implementing indexing, ranking models, learning-to-rank, deep learning retrieval, and personalization across five phases.

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Skills

Proficient in data science and cloud computing. Adept at working in cross-functional teams, problem-solving, and effectively communicating technical insights to drive impactful solutions.

  • Programming Languages
    Python
    C++
    SQL
    R
    MATLAB
  • Database Technologies
    Java
    MongoDB
    Oracle
  • Data Visualization
    Power BI
    Tableau
    Matplotlib
    Seaborn
  • Cloud & AI Technologies
    ML & Deep Learning
    TensorFlow
    Scikit-learn
    AWS Athena & Sagemaker
    NLTK

Initiatives

DOW Sustainability Fellow (2024)
Content & Research, Girl Up Now (2020-2021)

Engaged in sustainability initiatives and gender advocacy efforts.