EDUCATION
The University of Texas at Dallas	January 2023- December 2024 Master of Science, Information Technology and Management		GPA 3.86 Relevant Coursework- Python, Databases for Business Analytics, Data Visualization, Data Warehousing, Big Data, Adv. Statistics for Data Science, Cloud Computing, Product Management, Tech and New Product Development, System Analysis, and Project Management.
Symbiosis Institute of Technology Pune, India	July 2017- June 2021
Bachelor of Technology, Information Technology [Minor: Machine Learning and Analytics]
Relevant Coursework: Data Structures, Design and analysis of Algorithms, Artificial Intelligence, Neural Networks, Distributed Systems
PROFESSIONAL EXPERIENCE
Intelliswift Software Inc.	July 2021- March 2022
Associate, Data Management and Analytics
•	Engineered a data migration solution leveraging Spark, GCP, Kafka, and SQL at BlackRock, integrating financial data from multiple sources and performing business rule validation, improving the data quality by 36% for real-time analytics.
•	Automated data migration pipelines using PySpark, enabling scalable data extraction, transformation, and loading (ETL) processes from various sources into PostgreSQL, improving data integrity and system performance by 25%.
•	Engineered and deployed 25 ML and DL APIs using Flask and FastAPI, with a user-friendly UI, resulting in a 40% increase in user engagement and supporting over 1,000 daily cloud server users.
•	Engineered Apache Airflow data pipeline workflows, streamlining extraction, transformation, and loading processes, leading to a 30% reduction in processing time.
Symbiosis Centre for Applied Artificial Intelligence	June 2020 – June 2021
Research Assistant, Healthcare Analytics
•	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 a prediction improvement of 18% and accuracy of 96.67% on the SWELL-KW dataset, reducing 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.	December 2019 – June 2020
Machine Learning Engineer Intern (Co-op)
•	Developed an advanced Natural language Processing-based content analysis tool, automated data scraping, and created models for topic prediction and article suggestions. Enhanced user engagement by 40% with personalized insights.
•	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 [Tensorflow, YOLO, OCR, SQL, Computer Vision, Reporting Analytics.]
•	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]
•		Established a web application using HTML, CSS, JavaScript, PHP, and MySQL for studying and creating online courses with proper functionalities such as login, progress tracking, submitting assignments, and dashboards.
DATA VIZ: Developed advanced dashboards that track, analyze, and visualize KPIs across multiple data sources. Tableau Profile
LEADERSHIP EXPERIENCE
•	Ideation Head: Led 40+ members in Google DSC events, mentoring in technical project development.
•	Lead at E-CELL SIT. Represented the University 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, Jira, Confluence, JavaScript, Spark, Hadoop, Kafka, Docker, Kubernetes, git, BitBucket, GitHub.
•	Certifications: AWS Cloud Practitioner, AI/ML by Maker’s Lab, GCP Essentials, Datacamp- Data Analysis and Data Engineering


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