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ML Engineer with less than a year in NLP, Generative AI & Data Analysis.
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Assessing your cultural and operational fit
Integrated M.Tech student in Artificial Intelligence with a strong foundation in Machine Learning, Deep Learning, NLP, and Generative AI. Possesses hands-on experience in developing sentiment analysis pipelines, fake news detection, and recommendation systems. Proficient in Python, Java, SQL, and various ML frameworks like TensorFlow and Scikit-learn. Eager to apply analytical and modeling skills to real-world challenges.
Vellore Institute of Technology
Integrated M.Tech · Artificial Intelligence
August 1, 2022 – Present
Fin Infocom
ML Intern
October 1, 2025 – December 1, 2025
Hyderābād, Telangana, India
Stock Market Sentiment Analysis Using Reddit Data
June 24, 2026 – Present
Collected stock-related discussions using the Reddit API (PRAW) and performed NLP preprocessing. Queried and filtered relevant data using SQL before applying feature engineering techniques. Applied VADER sentiment analysis and TF-IDF vectorization to extract sentiment features. Designed and trained an LSTM-Attention deep learning model to classify investor sentiment. Evaluated model performance using classification metrics to analyze sentiment trends.
Fake News Detection Using Machine Learning
June 24, 2026 – Present
Built a fake news detection model using Passive Aggressive Classifier with TF-IDF vectorization. Performed data cleaning and feature engineering using Pandas. Used SQL queries to filter and organize dataset records prior to model training. Evaluated performance using Precision, Recall, and F1-Score.
Music Recommendation System
June 24, 2026 – Present
Developed a recommendation system using collaborative filtering techniques. Preprocessed user-item interaction data using Python and Pandas. Achieved over 90% prediction accuracy and evaluated performance using MSE and RMSE.
Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
Oracle Cloud Infrastructure
June 1, 2026 – January 1, 2025
Oracle Cloud Infrastructure 2025 Certified Data Science Professional
Oracle Cloud Infrastructure
June 1, 2026 – January 1, 2025
Cultural Fit Analysis
The candidate's academic projects and internship align well with an ML Engineer role, demonstrating a clear interest and foundational experience in the field. The diversity of projects (recommendation systems, sentiment analysis, fake news detection) shows a breadth of application within ML. The certifications further indicate a proactive approach to skill development relevant to the target role. However, all experience is academic or internship-based, which might limit exposure to corporate cultural dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and follow structured development processes. The academic nature of projects suggests a strong learning aptitude. However, without specific behavioral assessments or interview data, it is difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication in a professional setting.