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Janhvi Kridutta

@janhvikridutta

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Aspiring data analyst with a strong foundation in data science.

India

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What I'm looking for

I am looking for a role that fosters growth, collaboration, and innovation in data-driven decision-making.

I am a passionate data analyst with a solid foundation in data science and engineering. My recent internship experiences at CyborgIntell and Sparks Foundation have equipped me with hands-on skills in data preparation, feature engineering, and model validation. I successfully led projects that enhanced model accuracy and optimized loan approval efficiency, demonstrating my ability to deliver impactful results.

In addition to my internship experiences, I have worked on various projects that showcase my technical expertise. From optimizing RAG models to developing stock trading strategies, I have consistently applied my knowledge of Python, SQL, and machine learning frameworks to solve complex problems. My dedication to continuous learning is evident in my academic background, where I earned a B.E. in Computer Engineering with a focus on machine learning and data science.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

CyborgIntell

Jan 2024 - May 2024 (4 months)

Led data preparation and feature engineering efforts, enhancing model accuracy by 20%. Developed logistic regression models with 95% accuracy for customer risk classification and created a risk assessment system optimizing loan approval efficiency by 15%.

Data Analysis Logistic Regression Risk Assessment Python SQL Pandas Tableau

Data Science Intern

Sparks Foundation

Jan 2023 - Jun 2023 (5 months)

Executed data cleaning and preprocessing using Pandas and SQL, optimizing Random Forest algorithms to achieve 94% prediction accuracy. Designed dynamic Tableau dashboards for detailed analysis.

Data Cleaning data preprocessing Random Forest Python SQL Pandas Tableau Data Integrity Optimization Data Visualization

Education

Degrees, certifications, and relevant coursework

AISSMS Institute of Information Technology

Bachelor of Engineering, Computer Engineering

2019 - 2023

Grade: 8.2/10

Completed a Bachelor of Engineering in Computer Engineering with a GPA of 8.2/10. Relevant courses included Machine Learning, Data Science and Statistics, Natural Language Processing, and Deep Learning, providing a strong foundation in both theoretical and practical aspects of computer engineering.