Job Description
Enrollment in Bachelors or Master's degree program in Computer Science, Engineering, Mathematics or Statistics
Relevant industry experience in analytics and development activity 
Acumen for business flow understanding and expertise in data preparation and pre-processing 
Automation oriented mindset 
Excel/Access knowledge, including knowledge of macros. VBA programming (to manage / develop custom reports)
Programming languages (e.g. C#, .NET, Java etc.) would be a plus
SQL, PL/SQL, SQL Server, SSIS knowledge and experience
Experience with Tableau, PowerBI or any other visualization tool
PHP would be an advantage (to manage / develop portal)
New wave programming for machine learning - like Python would be considered a plus 


This is the job role and below is my resume
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
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
·      Designed REST APIs for Conversion Factory- a cloud data migration and analytics tool for Banking and Finance.
·      Automated the data loading, verification, and migration processes from different databases to a central database, reducing errors and increasing efficiency by 30%.
·      Developed APIs for 25 Machine and Deep Learning Components using Flask and FastAPI, created an interactive UI with HTML, CSS, and JS, integrated it with the backend, and deployed the components on the cloud server.
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
Data Science Intern (Co-op)
·      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 [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
·      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.
·      Managed a 7-member team and the entire budget for college Techfest in the capacity of Finance Co-Head 2019.
·      Organized 24 events to promote entrepreneurship as a part of the Executive Council 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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