Download the comprehensive professional resume and curriculum vitae of Priyanka Morajkar, an accomplished Data Scientist and AI Engineer based in Mumbai, Maharashtra, India. Currently pursuing Master of Science (M.Sc.) in Data Science and Artificial Intelligence from SVKM's Mithibai College of Arts, Chauhan Institute of Science and Amrutben Jivanlal College of Commerce and Economics, one of Mumbai's premier educational institutions.
Priyanka Morajkar is a dedicated and ambitious Data Science and AI Engineering professional with strong academic credentials and hands-on project experience in machine learning, neural networks, deep learning, computer vision, natural language processing, and AI system development. With expertise in Python programming, TensorFlow, Keras, Scikit-learn, and various data science tools and frameworks, she brings both theoretical knowledge and practical skills to every project.
Currently pursuing advanced studies at SVKM's Mithibai College of Arts, Mumbai, focusing on cutting-edge topics in artificial intelligence, machine learning algorithms, deep learning architectures, neural networks, statistical modeling, data analytics, predictive modeling, computer vision, natural language processing, and AI ethics. Active participant in college chess tournaments (Ranked 7th in Zonal Round), won 2nd prize in Chess at Annual Sports and Chemtrek Fest, and 2nd prize in Poster Making at Library event. Developed innovative solution to optimize OPD queues and hospital bed availability using Priority Queue algorithms.
Graduated from Kirti M. Doongursee College of Arts, Science and Commerce, Mumbai with excellent academic record and numerous achievements. Served as National Service Scheme (NSS) Volunteer for 2 years, contributing to community service and social development initiatives. Won multiple first prizes in technical competitions including Unique Programming Competition at Horizon Fest, Web Development Competition at Horizon Fest, Chess Championships at Horizon Fest and Nivesh Fest, Poster Making at Zoofiesta Fest, Photography at Zoofiesta Fest and Phoenix Fest (Somaiya College), and secured 2nd prize in Film Making at Zoofiesta Fest. Participated in prestigious Avishkar Innovation competition, selected in Street Play Top 3 at District Level RRC-NSS, participated in Zonal Level Chess Tournament, and achieved Top 3 position in Hackathon Synthexathon at R.D National College.
Completed from Maharshi Dayanand College of Arts, Science and Commerce (MD College), Mumbai (2017-2021). Represented college in Chess Tournament, demonstrating consistent excellence in both academics and extracurricular activities. Built strong foundation in computer science fundamentals, programming concepts, and problem-solving skills.
Completed from Convent Girls' High School, Mumbai (2016-2017). Represented school in Chess Tournament and actively participated as Eco-Club Volunteer, showing early commitment to environmental awareness and community service.
Python (Advanced) - Primary language for data science, machine learning, and AI development with extensive experience in scientific computing, data analysis, and model development. C++ - Strong foundation in object-oriented programming, algorithms, and data structures. HTML5 & CSS3 - Modern web development with responsive design principles and best practices. JavaScript - Client-side scripting, DOM manipulation, and interactive web applications. R Programming - Statistical computing and graphics for data analysis and visualization. Java - Object-oriented programming for enterprise applications and Android development.
Scikit-learn - Comprehensive machine learning library for classification, regression, clustering, and dimensionality reduction. Expertise in model selection, preprocessing, and evaluation. TensorFlow - Deep learning framework for building and training neural networks, computer vision models, and NLP applications. Keras - High-level neural networks API for rapid prototyping and experimentation with deep learning models. Seaborn - Statistical data visualization based on matplotlib for creating informative and attractive graphics. NumPy - Fundamental package for scientific computing with support for arrays, matrices, and mathematical functions. Pandas - Data manipulation and analysis library for working with structured data, time series, and data cleaning.
Git & GitHub - Version control, collaborative development, open source contributions, and project management. Jupyter Notebook - Interactive computing environment for data science workflows, exploratory analysis, and documentation. Microsoft Excel - Advanced data analysis, pivot tables, macros, and business intelligence. Canva - Graphic design, presentations, infographics, and visual content creation. Unity Game Engine - 3D game development, simulations, and interactive experiences with C# scripting.
MySQL - Relational database design, SQL queries, stored procedures, and database optimization. PostgreSQL - Advanced relational database with support for complex queries and data integrity. MongoDB - NoSQL document database for flexible schema design and scalable applications. SQLite - Lightweight embedded database for mobile and desktop applications.
Amazon Web Services (AWS) - Cloud infrastructure, EC2 instances, S3 storage, and serverless computing with Lambda. Google Cloud Platform (GCP) - Cloud services, BigQuery for analytics, Cloud ML Engine, and App Engine. Firebase - Backend as a Service (BaaS) for real-time databases, authentication, hosting, and cloud functions.
Exploratory Data Analysis (EDA) - Statistical analysis, data profiling, pattern discovery, and insight generation. Data Cleaning & Preprocessing - Handling missing values, outlier detection, feature scaling, and data transformation. Regression Analysis - Linear regression, polynomial regression, ridge regression, lasso regression for predictive modeling. Classification Algorithms - Logistic regression, decision trees, random forests, SVM, naive Bayes, and ensemble methods. Neural Networks - Feedforward networks, convolutional neural networks (CNN), recurrent neural networks (RNN), LSTM. Deep Learning - Advanced architectures, transfer learning, fine-tuning pre-trained models, and optimization techniques. Computer Vision - Image classification, object detection, image segmentation, facial recognition, and image processing. Natural Language Processing (NLP) - Text preprocessing, sentiment analysis, named entity recognition, language models, and text generation.
Developed an advanced autonomous vehicle simulation in Unity game engine using neural networks evolved through genetic algorithms. Implemented real-time decision-making capabilities for dynamic obstacle avoidance and path planning. Created sophisticated simulation environment for testing autonomous navigation algorithms in controlled scenarios. Technologies used: Unity 3D, C# programming, Neural Networks architecture, Genetic Algorithms optimization, Game Physics simulation. Key achievements: Successfully demonstrated autonomous navigation with 95% obstacle avoidance rate, implemented adaptive learning system that improved performance over time, created realistic physics-based vehicle controls and environmental interactions.
Designed and developed intuitive web application using HTML5, CSS3, and JavaScript with seamless Spoonacular API integration. Enabled users to discover recipes based on available ingredients with smart search functionality and filtering options. Focused on creating clean, user-friendly interface with responsive design for optimal experience across devices. Technologies used: HTML5 semantic markup, CSS3 with Flexbox and Grid, Vanilla JavaScript ES6+, RESTful API integration, Responsive Web Design principles. Key features: Ingredient-based recipe search, nutritional information display, step-by-step cooking instructions, save favorite recipes functionality, mobile-responsive design.
Created comprehensive web platform to facilitate pet adoption and raise awareness about animal welfare. Designed accessible interface allowing users to browse various pet breeds with detailed information and adoption guidelines. Crafted emotionally engaging user experience to promote rescue adoption and ethical pet ownership. Technologies used: Web Development (HTML, CSS, JavaScript), UX/UI Design principles, Accessibility standards (WCAG), Content Management. Social impact: Aimed to connect potential pet owners with rescue organizations, promoted awareness about responsible pet adoption, highlighted importance of rescue animals over commercial breeding.
National Service Scheme (NSS) Volunteer (2 Years) - Actively participated in community service initiatives, social awareness campaigns, and rural development programs. Developed leadership skills, teamwork capabilities, and social responsibility. Eco-Club Volunteer - Environmental conservation activities, awareness campaigns, and sustainability initiatives during school years. Chess Player - Represented educational institutions at multiple levels with consistent tournament participation and numerous championship wins demonstrating strategic thinking and analytical skills.
Passionate about leveraging artificial intelligence and machine learning to solve real-world problems across various domains including healthcare, education, environmental sustainability, and social impact. Interested in ethical AI development, responsible technology innovation, and creating accessible AI solutions that benefit society. Seeking opportunities to work on challenging projects that combine technical excellence with meaningful impact.
Data Science Mumbai, AI Engineer India, Python Developer Resume, Machine Learning Expert CV, Deep Learning Specialist, Neural Networks Engineer, Computer Vision Developer, NLP Engineer, Data Analyst Mumbai, Statistical Modeling, Predictive Analytics, TensorFlow Developer, Keras Expert, Scikit-learn, Data Visualization, Big Data Analytics, Cloud Computing AWS GCP, Database Management SQL NoSQL, Web Development, Software Engineer, Algorithm Design, Problem Solving, Critical Thinking, Team Collaboration, Project Management, Research Innovation, Academic Excellence, Competition Winner, NSS Volunteer, Community Service, Mumbai University, Mithibai College, Computer Science Graduate, M.Sc. Data Science Student.
Email: priyankamorajkar291@gmail.com - For job opportunities, project collaborations, freelance work, consulting inquiries, and professional networking.
Phone: +91 8850425197 - Available for calls during business hours (9 AM - 6 PM IST) for urgent matters and quick discussions.
Location: Prabhadevi, Mumbai, Maharashtra, India - Available for in-person meetings in Mumbai and surrounding areas, open to remote work opportunities worldwide.
LinkedIn: linkedin.com/in/priyankamorajkar - Professional networking, career updates, and industry connections.
GitHub: github.com/priyankamorajkar - Open source contributions, project repositories, code samples, and technical portfolio.
Download Priyanka Morajkar's complete professional resume in PDF format for detailed information about education, skills, projects, achievements, and work experience. The resume is ATS-friendly, professionally formatted, and optimized for both human readers and applicant tracking systems used by recruiters and hiring managers.
Built in Unity with neural networks evolved using genetic algorithms. Developed functionality for real-time decision-making and obstacle avoidance. Simulated autonomous navigation in a controlled environment.
Designed using HTML, CSS, and JavaScript with Spoonacular API integration. Enabled users to search for recipes based on available ingredients. Focused on clean user interface and intuitive experience.
Created a web platform to browse pet breeds and access adoption guides. Crafted for accessibility and emotional user engagement. Aimed to raise awareness about rescue and ethical adoptions.
SVKM's Mithibai College of Arts | June 2024 – Present
Kirti M. Doongursee College | October 2021 – May 2024
Maharshi Dayanand College | July 2017 – October 2021
Convent Girl's High School | Jun 2016 | May 2017
Gained foundational knowledge of graph databases, including graph theory, node–relationship structures, and Cypher query language. Learned to model, read, and write data efficiently using Neo4j's graph patterns.
View CertificateMastered frontend development with React and backend development with Node.js. Learned professional developer best practices for real-world projects. Prepared for junior developer roles or freelance web development opportunities.
View CertificateLearned document preparation, advanced typesetting, mathematical and scientific notation, table and figure formatting, creating templates for reports and certificates, and producing professional, publication-ready documents using LaTeX.
Certificate PendingI'm always open to discussing new opportunities and innovative projects in AI and data science.