Data Science with less than a year in Machine Learning & NLP
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Assessing your cultural and operational fit
Entry-level Data Scientist skilled in machine learning, deep learning, NLP, and statistical modeling with hands-on experience with end-to-end data pipelines. Proficient in Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch for building predictive and classification models. Passionate about transforming data into actionable insights and deploying intelligent solutions that supports evidence-based decision making.
Priyadarshini Bhagwati College Of Engineering, Nagpur
B.Tech · Information Technology
February 1, 2021 – July 1, 2024
Mathuradas Mohota College Of Science
12th
April 1, 2019 – March 1, 2020
Cojag Smart Technology Pvt. Ltd.
Intern, Software Development
January 1, 2026 – March 1, 2026
Nagpur, Maharashtra, India
Sentiment Analysis on Twitter Data
December 1, 2025 – December 1, 2025
• Developed a 3-class Sentiment classifier(Positive, Negative, Neutral) on Twitter data. • Implemented MultiNomial Naive Bayes with CountVectorizer for supervised sentiment classification. • Generated neutral sentiment labels using Vader rule-based scoring to overcome limitation. • Evaluated model performance using accuracy metrics and maintained version control via GitHub.
View ProjectResume Scanner
November 1, 2025 – November 1, 2025
• Built an automated resume screening system to match resumes with job descriptions using NLP techniques. • Designed text preprocessing pipeline including regex cleaning, tokenization, stopword removal, lemmatization and TF-IDF Vectorizer. • Implemented cosine similarity to rank resumes based on relevance, improving screening efficiency. • Achieved accurate resume-job matching and structured ranking suitable for HR automation use cases.
View ProjectData Science
Fortune Cloud Technologies
July 1, 2025 – Present
Data Analytics
Fortune Cloud Technologies
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects are relevant to the Data Science domain, showing alignment with the target role. The certifications and personal projects demonstrate initiative and a passion for the field. However, the limited professional experience and project diversity suggest a need for further development in real-world application and team dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on defined tasks. The internship, though brief, suggests exposure to a professional environment. However, there is insufficient data to assess collaboration, stress handling, or advanced problem-solving skills.