Dec 2024 – May 2025 · 5 mos · Gandhinagar · On-site

• Worked under the mentorship of Dr. Amit Mankodi, Dhirubhai Ambani University:
• Worked on large scale time series forecasting using both statistical and deep learning approaches.
• Built and optimized classical statistical models including ARIMA and SARIMA for real world noisy datasets.
• Developed deep learning based forecasting models using LSTM and GRU architectures to capture long term temporal patterns.
• Applied Facebook Prophet for robust trend and seasonality modeling on complex time series data.
• Designed automated pipelines for stationarity testing, outlier detection, and data preprocessing.
• Processed and analyzed over 500k data points, achieving a 15 percent improvement in MAPE through model tuning and comparative evaluation.
• Performed systematic comparison between statistical models and deep learning methods to identify performance tradeoffs and deployment suitability.

May 2024 – Jul 2024 · 2 mos · Remote

• Guide: Dr. Manish Gupta (DA-IICT) and Mr. Debdyut Hazra(Intel)
• Intel Unnati Industrial Training Program
• Worked on end to end sentiment analysis of online reviews for Intel chipset products.
• Collected and scraped large scale review data from multiple e commerce and tech review platforms.
• Performed data cleaning, preprocessing, and exploratory analysis to extract meaningful insights.
• Built and evaluated Machine Learning models and Deep Learning architectures for sentiment classification.
• Applied Transformer based models to improve sentiment prediction accuracy and handle contextual understanding.
• Compared traditional ML approaches with deep learning and transformer models to analyze performance tradeoffs.
• Gained hands on experience in NLP pipelines, model evaluation, and real world data challenges.

Jul 2021 – Aug 2021 · 1 mo · Delhi, India · On-site

• Research Intern under the Sri Venkateshwar Internship Program for Research in Academics, working on the synthesis, characterization, and application of biopolymer based nanocomposites.
• Focused on Guar Gum as the primary biopolymer, exploring its structural properties and potential applications through experimental analysis.