Education

Statistics for Data Analysis
"Covered comprehensive statistical inference, hypothesis testing (ANOVA, chi-square, t-tests), and regression modeling (Simple & Multiple) using R for data analysis"

Big Data Technologies
"Focused on distributed computing architectures and real-time analytics using Apache Spark, MapReduce, and Hive. Implemented data ingestion pipelines with Sqoop and MongoDB, applying probabilistic algorithms (Bloom Filters) for stream processing."

Computer Programming for Data Scientists
"Mastered algorithm design and advanced data structures for efficient computational problem-solving. Applied software engineering principles, including testing, debugging, and modular design, to build robust data science applications."

Computer Vision
"Explored the mathematical, artificial and biological concepts of visual perception, covering image formation, low-level feature extraction (filtering, edge detection), and mid-level processing (segmentation, stereo depth, motion). Analyzed high-level object recognition techniques while drawing parallels to biological neural mechanisms (V1/V2 cortex) to design bio-inspired vision systems."

Databases, Data Warehousing & Information Retrieval
"Designed and normalized relational databases (up to BCNF) using complex SQL and ER modeling, while mastering enterprise architecture through Dimensional Modeling (Star/Snowflake schemas) and NoSQL patterns (HBase). Implemented Information Retrieval algorithms for efficient text indexing, ranking, and query processing."

Data Mining
"Mastered the data mining lifecycle through implementation of supervised learning (SVM, Neural Networks, Decision Trees) and unsupervised clustering algorithms (K-Means, GMM). Applied statistical modeling and advanced techniques including Time Series Analysis, Association Rules, and NLP pipelines for robust pattern discovery and predictive analysis."

Pattern Recognition, Neural Networks & Deep Learning
"Specialized in Deep Learning architectures (CNNs, GANs, Autoencoders) and neural network optimization. Mastered statistical pattern recognition through SVMs, Ensemble Methods (Random Forests, Adaboost), and advanced feature extraction (PCA, ICA), alongside unsupervised learning techniques (Fuzzy K-Means, Hierarchical Clustering)"

Introduction to Data Visualisation
"Mastered visual perception theory and interaction design to build complex, web-based visualizations using D3.js and JavaScript. Applied advanced techniques for High-Dimensional Data (PCA, t-SNE, UMAP), Network Analysis (Graph Theory), and Spatial/Temporal simulation."

Data Structures & Algorithms
"Implemented core data structures (stacks, queues, trees, graphs) and analyzed algorithmic complexity (Time/Space) for efficient software development. Extended this knowledge to advanced techniques like Dynamic Programming and Greedy Algorithms."

Database Management Systems (DBMS)
"Designed robust relational databases using ER modeling and normalization techniques. Mastered SQL for complex data manipulation, transaction management, and studied advanced concepts like distributed databases and query optimization."

Computer Networks
"Studied the OSI and TCP/IP models, covering network protocols, IP addressing, routing algorithms, and transport layer mechanisms. Gained practical experience in network configuration and analysis."

Operating Systems
"Explored core OS concepts including process management, thread synchronization, memory paging, and file system architectures to understand system-level resource management."

Automata Theory
"Studied the mathematical foundations of computation, including finite automata, context-free grammars, and Turing machines, establishing the logic behind compiler design."

Logic Design & Computer Architecture
"Analyzed digital logic circuits and computer system hierarchy, focusing on instruction set architectures, CPU design, and memory organization techniques."

Internet Programming
"Built dynamic web applications using client-side (HTML/CSS/JS) and server-side technologies, focusing on responsive design, state management, and modern web standards."

Cryptography & Network Security
"Implemented security protocols and encryption algorithms (AES, RSA, DES) to safeguard network infrastructure and ensure data integrity against cyber threats."

Software Engineering & Project Management
"Applied SDLC methodologies (Agile, Waterfall) and project management tools to oversee the full software development lifecycle, ensuring quality and timely delivery."

Data Mining & Business Intelligence
"Utilized data mining techniques for pattern discovery and implemented Business Intelligence (BI) tools to derive actionable insights from large, complex datasets."

Cloud Computing & Services
"Explored cloud architectures (IaaS, PaaS, SaaS), virtualization technologies, and deployment strategies on platforms like AWS/Azure."

Wireless Networks & Mobile Computing
"Studied mobile communication standards, wireless protocols (Wi-Fi, Bluetooth), and network mobility management, alongside developing native Android applications."

Artificial Intelligence
"Investigated core AI concepts including search strategies, knowledge representation, logic, and introductory machine learning algorithms for intelligent system design."

Enterprise Network Design
"Designed scalable enterprise network architectures, focusing on redundancy, high availability, hierarchical network models, and infrastructure security."

Big Data Analytics
"Analyzed massive datasets using distributed computing frameworks and applied analytics to solve complex business problems, bridging the gap between raw data and decision-making."

Internet of Everything (IoE)
"Explored the interconnected ecosystem of people, processes, data, and things, focusing on smart systems, sensor networks, and IoT architectures."

User Interaction Design
"Designed intuitive user interfaces by applying Human-Computer Interaction (HCI) principles, usability testing, and user-centric design methodologies."

Digital Forensics & Cyber Law
"Learned techniques for identifying, preserving, and analyzing digital evidence to investigate cybercrimes, while understanding the legal frameworks governing information security."

Science Stream with a specialized focus on Computer Science and Mathematics.
Key Subjects:

• Computer Science
• Mathematics & Statistics
• Physics
• Chemistry
• English

Demonstrated early aptitude in quantitative and scientific disciplines
Key Subjects:

• Mathematics (96/100)
• Science & Technology (91/100)
• Social Sciences
• Languages (English, Marathi, Hindi)
• ICT