AI Engineer with less than a year in Machine Learning & Time Series Forecasting
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Master's student in Data Science with strong expertise in machine learning, time series forecasting, and business intelligence. Proficient in Python, SQL, and Power BI with practical experience across predictive analytics, AI solutions, and dashboarding. Developed industry projects in demand forecasting, credit scoring, and e-commerce analysis. Published research-level work in hybrid deep learning (LSTM) and statistical (ARIMA) models for stock price prediction. Passionate about applying AI/ML techniques to solve real-world business challenges, with proven achievements in both academic and industry settings.
Christ University, Pune
Master of Science · Data Science
August 1, 2023 – June 30, 2025
St. Xavier College, Ranchi
Bachelor of Science (Hons) · Statistics
August 1, 2019 – June 30, 2022
Tata Steel Ltd.
Intern
February 1, 2025 – May 31, 2025
India
E-commerce Sales Analysis
April 1, 2025 – April 1, 2025
Built an ETL pipeline to integrate CSV datasets into MySQL. Executed 10+ SQL queries to analyze sales trends, product performance, and customer behavior. Key Insight: Identified top-selling categories, improving inventory planning.
View ProjectCredit Score Prediction Web App
December 1, 2024 – December 1, 2024
Developed a full-stack application predicting credit scores with real-time user feedback. Integrated TailwindCSS & HTML for responsive UI.
View ProjectStock Market Prediction (SVM)
May 1, 2024 – May 1, 2024
Trained an SVM model (RBF Kernel) on NSE data (2020-2024) for SBI, ICICI, HDFC stocks. Achieved 87% accuracy after hyperparameter tuning.
View ProjectCultural Fit Analysis
The candidate's academic background in Data Science and Statistics, coupled with projects in e-commerce, credit prediction, and stock market analysis, demonstrates a diverse interest in applying AI/ML across various domains. The internship at Tata Steel Ltd. shows exposure to an industrial setting. The target role of 'AI Engineer' aligns well with the candidate's stated interests and technical skills, particularly in predictive analytics and model development. The academic nature of most projects and the current student status suggest a learning-oriented individual, which can be a good cultural fit for teams that value continuous improvement.
Soft Skills & Operational Fit
The candidate lists problem-solving, collaboration, communication, and adaptability as soft skills. The project descriptions and internship experience suggest an ability to work on defined tasks and contribute to project goals. The automation of data/reporting workflows indicates an operational mindset towards efficiency.