Machine Learning Computer Science

CONTACT

SKILLS

LANGUAGES

: +91-773*******

**************@*****.***

Bhubhaneswar,India

Twitter Sentiment Analysis

• Analyzed and classified user sentiments using Python, NLP (NLTK), and Machine Learning

Implemented sentiment analysis on Twitter data to identify user opinions

(positive, negative, neutral).

Utilized Python with NLTK for text preprocessing (tokenization, stopword removal, stemming, lemmatization).

Applied machine learning models (Logistic Regression, Naïve Bayes, SVM) for sentiment classification.

Languages: Java, Python, C,

C++, HTML, CSS, JavaScript

Tools & Technologies: Git, VS

Code, MySQL, Android

Studio

Concepts: Data Structures

and Algorithms, DBMS, OOPs

English (Fluent)

Nepali(Fluent)

Hindi(Intermediate)

SHUBHAM MISHRA

FRESHER

PROJECTS

PROFILE

BTech Computer Science and Engineering student with strong problem-solving and analytical skills.

Knowledge of backend development, machine learning, and web technologies. Quick learner with the ability to adapt to new tools and environments. Experienced in working on academic projects with a focus on practical applications.

Strong teamwork, communication, and time management skills. Looking to contribute to impactful projects and grow in a dynamic organization.

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EDUCATION

Bachelor of Technology in Computer Science Engineering Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar 2022 – 2026 CGPA: 7.7/10 (upto 6 semster)

Higher Secondary (+2 Science)

GoldenGate International College, Nepal

CGPA: 2.62/4

Schooling

CGPA: 3.25/4

Contact this candidate