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Data Science with less than a year in Machine Learning and Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with experience in applying machine learning and deep learning models to develop innovative solutions in retail and banking sector to address business-critical challenges, including classification, predictive, forecasting and statistical A/B testing. Adept at collaborating with cross-functional teams to derive actionable insights from complex datasets, improving business performance and decision-making.
University College of Engineering – BIT Campus, Trichy
Bachelor of Technology · Information Technology
August 1, 2021 – June 30, 2025
AI Variant
Data Science Intern
August 1, 2025 – January 1, 2026
Bengaluru, Karnataka, India
Orbitz IT Solutions
Artificial Intelligence and Machine Learning Intern
June 1, 2024 – August 1, 2024
Chennai, Tamil Nadu, India
Amazon Product Review Text Sentiment Analysis
June 24, 2026 – March 1, 2026
• Developed deep learning models like ANN and ML models like Logistic, Random Forest using Sklearn for analyzing different reviews provided on kaggle to perform Sentiment Prediction. • Trained and evaluated multiple ML models and compared performance metrics to identify the best model. • Optimized hyperparameters to improve classification accuracy.
MLOPS Indian Flight Price Prediction
June 24, 2026 – November 1, 2025
• Developed a complete end-to-end ML pipeline and deployed on Azure for Indian Flight Price Prediction • Built automated workflows using Power Automate for data ingestion, monitor pipeline execution, trigger deployment notifications, and send failure alerts, ensuring reliable end-to-end ML operations. • Implemented and compared multiple regression algorithms to predict flight prices and identify market trends.
Cultural Fit Analysis
The candidate's academic projects and internships show a strong alignment with the target role of Data Science, covering areas like NLP, regression, sentiment analysis, and MLOps. Their involvement with Google Developer Program and exploration of Generative AI, LLMs, and Agentic AI indicates a curiosity and willingness to explore diverse and emerging technologies, which is a positive for cultural fit in an innovative environment. The breadth of tools and platforms used also suggests adaptability.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying new technologies, as evidenced by their involvement in the Google Developer Program and diverse project work. Their project descriptions suggest an ability to work on end-to-end solutions and communicate insights through visualizations. However, without specific assessment data on communication or teamwork, it's difficult to fully assess soft skills and operational fit beyond what's implied by project descriptions.