Apr 2025 – Oct 2025 · 6 mos · India · Remote

• Conducted sentiment analysis on movie reviews, achieving an impressive accuracy of 90%.
• Developed a recommendation system, reaching over 80% accuracy to enhance user experience.
• Collaborated with a dynamic team at The Developers Arena, a startup focused on innovative tech solutions.
• Gained hands-on experience in data analysis, machine learning, and natural language processing.

Jan 2025 – Mar 2025 · 2 mos · India · Remote

• Predictive Analytics & Risk Assessment: Developed machine learning models using decision trees and XGBoost to assess credit risk, reducing potential credit losses by 15%.
• Customer Retention Insights: Built a churn prediction model using logistic regression and random forest, incorporating feature engineering and Power BI dashboards for data-driven retention strategies.
• Data Exploration & Visualization: Conducted extensive EDA, identifying key patterns and trends, and presented actionable insights through detailed reports and visualizations.
• Business Impact: Enabled businesses to make informed strategic decisions and enhance operational efficiency.

Dec 2024 – Jan 2025 · 1 mo · India · Remote

• 🚀 Project Highlight: Built an advanced Twitter Sentiment Analysis Hybrid Model leveraging DistilBERT for contextual embeddings and GRU for sequence modeling, achieving exceptional accuracy in predicting sentiments.
• 💡 Key Contributions:
• Designed and implemented a robust text preprocessing pipeline using NLTK, reducing noise and optimizing data quality.
• Integrated DistilBERT embeddings for capturing contextual information and GRU layers for efficient sequential data processing.
• Developed and fine-tuned the model using TensorFlow, achieving high accuracy and improved computational efficiency.
• Tokenized textual data with a max-length approach for consistent input to the model, ensuring reliable training and predictions.
• Conducted comprehensive evaluations with a classification report, showcasing precise sentiment categorization on a large-scale Twitter dataset.

Nov 2024 – Jan 2025 · 2 mos · India · Remote

• "Engaged in a Data Science & Machine Learning internship at Gilbert Research Center , specializing in key concepts like data visualization, PCA, regression, and neural networks. Contributing to clinical diagnostic AI projects through hands-on programming assignments and practical applications, enhancing expertise in machine learning for healthcare solutions and innovation."

Mar 2024 – Mar 2024 · 0 mo · India · Remote

• Completed a customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills, identifying essential client data and outlining a strategic investigation approach.
• Conducted efficient data analysis using Python, including Pandas and NumPy. Employed data visualization techniques for insightful trend interpretation.
• Completed the engineering and optimization of a random forest model, achieving an 85% accuracy rate in predicting customer churn.
• Completed a concise executive summary for the Associate Director, delivering actionable insights for informed decisionmaking based on the analysis.

Mar 2022 – May 2022 · 2 mos · India · Remote

• Worked on a Python-based project, "3 Dice Roller Shuffle," demonstrating core and advanced programming skills.
• Gained practical experience in Python programming, implementing coursework in a real-world environment.
• Successfully collaborated with the team, contributing to project development and execution.
• Exhibited strong problem-solving abilities, technical proficiency, and teamwork throughout the internship.