shrishti@18
About me
I am an analytical and detail-driven B.Tech student in Mathematics & Computing with a strong foundation in building end-to-end data pipelines, predictive machine learning models, and interactive visual dashboards. Proficient in Python, SQL, Power BI, and Tableau, I specialize in transforming raw, unstructured datasets into clear, actionable business intelligence. My practical experience spans designing automated AI content quality frameworks that slashed manual data-editing lifecycles by 40%, optimizing normalized relational database schemas managing over 1,000 records, and engineering real-time computer vision tracking systems. Driven by rigorous data hygiene and structural problem-solving, I combine technical execution with crisp stakeholder reporting to deploy high-impact analytics solutions.
Work Experience
Machine Learning & Data Analytics Intern
Xylofy AI
May 5, 2026
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May 29, 2026
Completed an advanced AI and Data Analytics internship, graduating with Distinction (92/100). Developed an end-to-end fraud detection system featuring robust dataset preprocessing, class imbalance handling via SMOTE, and multi-model implementations optimized using Optuna. Integrated Explainable AI (SHAP) for transparent risk segmentation and designed an interactive dashboard to translate complex machine learning metrics into actionable business insights.
Education
Btech in Mathematics and Computing
Under Graduation
September 16, 2024
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Present
Degree & Institution: Bachelor of Technology (B.Tech) in Mathematics and Computing Madhav Institute of Technology and Science (MITS), Gwalior Timeline: September 2024 – May 2028 Academic Standing: Current cumulative CGPA of 7.7 Academic Description: "Currently pursuing a rigorous Bachelor of Technology degree in Mathematics & Computing, a specialized program that bridges advanced mathematical theory with foundational computer science principles. My coursework covers core engineering domains including Data Structures & Algorithms, Object-Oriented Programming (OOP), Database Management Systems (DBMS), Operating Systems, and Discrete Mathematics. This mathematical and computational background provides me with a strong analytical foundation, which I actively apply to optimizing machine learning models, designing complex database architectures, and engineering structured, clean backend pipelines."