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Data Science with less than a year in Machine Learning, NLP, and Data Analysis
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Assessing your cultural and operational fit
Highly motivated Data Scientist Intern with a Master of Science degree, specializing in machine learning, natural language processing, and data analysis. Proven ability to develop high-accuracy models, optimize workflows, and communicate complex technical concepts. Proficient in Python, cloud deployment, and various ML/AI frameworks. Eager to apply skills to impactful data-driven projects.
Sri Hari Pg College
Master of Science
N/A – Present
Loyola Degree Collage YSRR
Bachelor of Science
N/A – Present
British Airways
Data Scientist Intern
January 1, 2026 – June 1, 2026
India
The Spark Foundation
Data Scientist intern
January 1, 2026 – June 1, 2026
India
Email Spam Classification
June 28, 2026 – Present
Generated and put into action a highly accurate web-based email spam classifier utilizing natural language processing techniques, resulting in an impressive 94% accuracy score for the extended model. Collected, processed, and evaluated over 5,000 entries from Kaggle's database using the Python Pandas library to build a binary classification model for spam detection. Carried out a system that reduced manual workload by 90% and quickly tagged suspected emails for human review, demonstrating technical skills and optimizing workflow processes.
View ProjectTwitter Sentimental Analysis
June 28, 2026 – Present
Spearheaded the development and implementation of a cutting-edge machine learning model utilizing NLP techniques to achieve an 83% success rate in predicting consumer sentiment from online feedback. Pioneered innovative machine learning approaches such as sentiment analysis and intention detection, resulting in a 25% increase in customer satisfaction and driving product improvement initiatives. Employed NLP and logistic regression techniques to develop a model for text analysis that achieved an 83% success rate. Deployed the model in the cloud for real-time analysis, resulting in a 50% reduction in processing time and showcasing strong technical skills and an ability to implement cloud-based solutions
View ProjectCultural Fit Analysis
The candidate's academic projects and internships align well with a Data Science role, showcasing a clear interest and foundational skill set in the domain. The diversity of projects (spam classification, sentiment analysis) and the mention of networking with professionals from various companies suggest an eagerness to learn and engage with the broader data science community. The unpaid internships and project achievements indicate a proactive and self-driven individual.
Soft Skills & Operational Fit
The candidate demonstrates an ability to communicate technical concepts, as evidenced by LinkedIn engagement on projects. Networking skills are also highlighted through active engagement on LinkedIn. The project descriptions indicate a results-oriented approach, focusing on accuracy scores and efficiency improvements. However, the experience level is very junior (internships only), which might require significant operational guidance in a senior role.