Anshu
Faridabad, Faridabad Division, Haryana, India
Experience: 0 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: Python
Previously worked at: IT Service Companies
Assessment Score: 50
- Strong Educational Background
Pursuing a B.Tech in Mechanical Engineering from Maharaja Agrasen Institute of Technology with an impressive 84% and relevant coursework in machine learning, data science, and quantitative analysis, including training from IIT Bombay and Udemy. - Data Science Internship Experience
Gained practical experience as a Data Scientist Intern at Evoastra Ventures, where web scraping solutions and data cleaning techniques improved data collection efficiency by 60% and data presentation clarity by 55%, supporting better business decisions. - Hands-on Machine Learning Experience
Developed predictive models and applied machine learning techniques such as PCA, logistic regression, and grid search to enhance model performance, notably improving fraud detection accuracy to 95.94% in a Credit Card Fraud Detection project. - Proficiency in Data Analytics and Preprocessing
Leveraged skills in data preprocessing, scaling, and dimensionality reduction to optimize machine learning models, addressing class imbalances and handling large datasets efficiently, which led to improved results in fraud detection and sentiment analysis. - Natural Language Processing Expertise
Designed and implemented a sentiment analysis model using NLP techniques, including data preprocessing, stemming, and stopword removal, achieving 79% accuracy in analyzing restaurant reviews with a Support Vector Classifier (SVC). - Effective Problem Solving and Project Management
Demonstrated strong problem-solving abilities by improving model performance and achieving significant results in real-world applications, such as reducing false positives by 80% in fraud detection, showcasing both technical and analytical expertise in data science projects.