PRANAV NAYAK 
<PRESIDIO_ANONYMIZED_PHONE_NUMBER> | <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>|<PRESIDIO_ANONYMIZED_URL> | github.com/pranav1001 | TABLEAU 
EDUCATION 
The University of Texas at Dallas 
Master of Science, Information Technology and Management  
January 2023- December 2024 
GPA 3.86 
Relevant Coursework- Python, Databases for Business Analytics, Data Visualization, Data Warehousing with SAP, Big Data, Adv. Statistics 
for Data Science, Cloud Computing, Product Management, Tech and New Product Development, and Project Management. 
Symbiosis Institute of Technology Pune, India 
July 2017- June 2021 
Bachelor of Technology, Information Technology 
Relevant Coursework: Data Structures, Design and analysis of Algorithms, Artificial Intelligence, Neural Networks, Distributed Systems 
PROFESSIONAL EXPERIENCE 
Intelliswift Software Inc. 
Associate, Data Management and Analytics 
July 2021- March 2022 
• Optimized SQL queries for the Conversion Factory, a cloud data migration and analytics tool, enhancing performance and 
efficiency by 30% through indexing and caching strategies. 
• Automated data migration pipelines using PySpark, enabling scalable data extraction, transformation, and loading (ETL) 
processes from various sources into PostgreSQL, significantly improving data integrity and system performance. 
• Led the design and management of PostgreSQL databases, including schema design and table creation, to support 
Conversion Factory's backend systems, integrating with external services for seamless data exchange.  
Symbiosis Centre for Applied Artificial Intelligence 
Research Assistant, Healthcare AI 
June 2020 – June 2021 
• Engineered a multimodal deep learning framework for real-time stress monitoring using modalities like posture, facial 
features, and ECG and employed neural networks and data fusion techniques to predict stress levels. 
• Achieved an accuracy of 96.67% on the SWELL-KW dataset, reduced the model loss to 0.036. 
• Secured funding from Symbiosis Research Fund and published the research paper in the Journal of Healthcare Engineering, titled- 
Employing Multimodal Machine Learning for Stress Detection. 
• Developed deception detection models using the Bag-of-Lies dataset project titled ‘Multimodal AI for Neurophysiological 
Behavior Analysis’ funded and partnered with the Defense Research & Development Organization, India. 
Blue Bricks Pvt. Ltd. 
Software Engineer Intern (Co-op) 
December 2019 – June 2020 
• Developed an advanced NLP-based content analysis tool, automated data scraping, and created models for topic prediction 
and article suggestions. Enhanced user engagement by 40% with personalized insights and summaries. 
• Executed social media user profiling for NISSAN by extracting profiles across platforms and applying NLP for interest-based 
categorization. Utilized CNN-to-LSTM and text analysis algorithms to segment users and improve marketing strategies by 29%.  
PROJECTS 
Helmet and Number Plate Detection 
• Created an end-to-end application for Helmet and Number Plate Detection for driver safety. Implemented YOLOv3 and CNN
based OCR models to achieve an accuracy of 93% and store defaulters’ data in a MongoDB database. 
Symbi Learn [Platform for online courses] 
•      Developed an online course platform using HTML, CSS, JavaScript, PHP, and MySQL, featuring login, tracking, and dashboards. 
Designed MySQL schemas for content and user analytics, showcasing transferable database management skills. 
DATA VIZ: Developed advanced dashboards that track, analyze, and visualize KPIs across multiple data sources. Tableau Profile 
LEADERSHIP EXPERIENCE 
• Led a team of 40+ members to plan and organize technical workshops, competitions, and seminars. Mentored students to 
learn new technical skills and build industry-grade projects as the ideation and event head of Google DSC. 
• Organized 24 events to promote entrepreneurship as the head of E-CELL SIT. Represented college and won 2nd place in the 
National Entrepreneurship Challenge 2018. 
SKILLS & CERTIFICATIONS 
• Technical: Python, SQL, Java, R, PostgreSQL, NoSQL, MongoDB, Spark, BigQuery, NumPy, Pandas, Matplotlib, OpenCV, Scikit Learn, 
Keras, TensorFlow, PyTorch, JavaScript, Spark, Hadoop, Kafka, Docker, Kubernetes. 
• Certifications: AWS Cloud Practitioner, AI/ML by Maker’s Lab, GCP Essentials, Datacamp- Data Analysis and Data Engineering 

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