Computer Science Data

Paridhi Talwar

+1-617-***-**** - *******@**.*** - linkedin.com/in/paridhi-talwar/ - github.com/paridhitalwar EDUCATION

Boston University Boston, MA, USA

Master of Science in Computer Science Sep 2023 - Dec 2024 Selected Coursework: Software Engineering, Data Science, Web Mining and Graph Analytics, Big Data Analytics SRM University Tamil Nadu, India

Bachelor of Technology in Computer Science Jul 2019 - Jun 2023 Selected Coursework: Data Mining and Analytics, Artificial intelligence, Semantic Web, Compiler Design, Biometrics TECHNICAL SKILLS

Programming Languages: C, C++, Python, MATLAB, HTML/CSS, JavaScript, Java, R, SQL, Latex Libraries and Tools: GitHub, JIRA, MongoDB, Pivotal Tracker, scikit learn, NLTK, Streamlit, Cypress, Scipy Technologies and Frameworks: TensorFlow, Flask, React, Google Cloud, AWS, Azure, PySpark, PyTorch, Tableau PUBLICATIONS

• Talwar, P., Jain, A., & Pinsky, E. (2025). Should You Sleep or Trade Bitcoin? ITISE 2025 (11th International Conference on Time Series and Forecasting), Canaria, Spain. WORK EXPERIENCE

SYREN CLOUD INC Remote

Data Science Intern Jun 2024 - Aug 2024

• Developed multi-horizon forecasting models (ARIMA, Prophet) on 500M+ retail data, boosting accuracy by 30%.

• Applied lag features, rolling statistics, and holiday effects, enhancing 12-month predictions and reducing bias by 12%.

• Optimized forecasting with SKlearn, ARIMA, StatsForecast, and XGBoost, reducing errors using MASE and RMSE.

• Processed 50M+ sales records, integrating holiday variables to improve forecast reliability and reduce deviations by 15%.

• Enhanced model inference speed by 35% through optimized parallelized pipelines, improving inventory allocation efficiency.

• Tools Used: ARIMA, Prophet, XGBoost, Sklearn, StatsForecast, Pandas, Numpy, Matplotlib, Seaborn, Jupyter Notebook. COMPUTACENTER INDIA PRIVATE LIMITED Bangalore, India Associate Technical Analyst Intern Jan 2023 - Jun 2023

• Automated IT infrastructure monitoring and deployment with PowerShell and Hyper-V, reducing manual tasks by 35%.

• Improved ticket resolution time efficiency by enhancing troubleshooting processes and root cause analysis.

• Analyzed 100,000+ logs and system metrics to identify critical bottlenecks, improving server response times by 15%.

• Implemented comprehensive system performance improvements, resulting in a 20% boost in overall infrastructure efficiency

• Tools Used: PowerShell, Hyper-V, Python, Git, JIRA, Azure, Microsoft Teams OPTUM GLOBAL SOLUTIONS(INDIA) PRIVATE LIMITED Bangalore, India Software Developer Intern Jun 2022 - Aug 2022

• Developed a teleconsulting app, enhancing accessibility for over 500+ users/week and reducing wait times by 15%.

• Integrated Google Maps API for accurate location services, enhancing overall appointment scheduling efficiency.

• Optimized medical record retrieval processes with MySQL, reducing retrieval times by 30% and ensuring HIPAA compliance

• Deployed the app using Azure Kubernetes Service (AKS), improving scalability and reducing downtime by over 20%.

• Tools Used: MongoDB, Google Maps API, Azure AKS, Flask, React, HTML, CSS, Javascript, Microsoft Teams PROJECTS

• Smart Fridge, Served as the requirements leader for a smart fridge application, designing the solution using Python, React, Flask, and MongoDB. Enabled users to track inventory, plan meals with an intuitive calendar interface, and receive personalized recipe suggestions and customizations via LLM-powered Gemini chat integration, optimizing meal management and enhancing user experience. Github

• Alcohol Brewing Data Analysis, Analyzed brewing parameters, quality metrics, and sales trends using PySpark and Spark SQL on Google Cloud Platform with a 2.5 GB dataset. Implemented machine learning models to predict quality outcomes and optimize brewing processes. Developed real-time dashboards for stakeholders, enabling data-driven decisions and improving overall operational efficiency and product consistency.

• Focused Study, A distraction free learning environment delivered as a web app. Developed using YouTube API, React, Python Flask and Firebase Realtime Database. The Agile methodology, incorporating sprints, user stories, and sprint planning, is adeptly executed through JIRA across the entire software development lifecycle. Github

• Animal Intrusion Detection System, Led the development of a real-time detection system using Mask RCNN and OpenCV, training the model on a diverse animal image dataset to achieve high accuracy, and integrating an alert system to notify authorities instantly upon detecting intrusions.

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