Samartha K Achar
Data AnalystData Analyst with 4 months of experience
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 4 months of experience
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Trainee Decision Scientist with 4 months of experience in data engineering, analytics optimization, and data solution development. Proven ability to contribute to ETL processes, enhance data quality, and collaborate in agile sprints for analytical reporting. Skilled in Python, Java, SQL, cloud technologies, and full-stack web development, with a strong foundation in building scalable applications and implementing AI models. Dedicated to leveraging data for business problem-solving and client engagement.
M.S. RAMAIAH UNIVERSITY OF APPLIED SCIENCES, BANGALORE
B.Tech · Information Science Engineering
June 14, 2021 – July 6, 2025
Mu Sigma
Trainee Decision Scientist
August 1, 2025 – November 1, 2025
Bengaluru, Karnataka, India
CoreCraft: Building a modern computer using first principles
June 19, 2026 – Present
Constructed a 16-bit CPU and memory from NAND gates using the Nand2Tetris methodology. Designed and implemented logic gates, ALU, RAM, and CPU (HDL), along with an assembler, VM, compiler, and OS. Developed a layered computing system, rigorously tested through unit, integration, and system validation.
Bed-and-Breakfast Booking System (Coursera)
June 19, 2026 – Present
Built a Java-based application for managing bookings, room availability, and user interactions in a Bed-and-Breakfast scenario. Used JDBC for database connectivity and SQL for data storage/retrieval. Demonstrated solid understanding of application architecture, validation logic, and interaction design through command-line interface and data persistence.
Art Style Transfer with Facial Preservation (Capstone Project)
June 19, 2026 – Present
Developed a CNN-based style transfer model using PyTorch and VGG-16 to preserve facial features in stylized images with artistic filters. Implemented facial preservation with perceptual loss using VGG-16 and face loss using OpenFace & MTCNN. Built an explainable AI system using Grad-CAM and LLama 3.1 for visual and textual interpretation of model behavior. Created a Front-End Interface using Flask that allows seamless interactions with the Style Transfer Model.
Full-Stack Online Quiz Application (Coursera)
June 19, 2026 – Present
Developed a full-stack quiz app using Spring Boot and Spring MVC, enabling user login, question generation, score tracking, and result history. Implemented dynamic page rendering and front-end logic with HTML/CSS/JS and secured endpoints with Spring Security. Applied object-oriented principles and REST APIs to connect front-end forms with persistent back-end logic.
Student Management System
June 19, 2026 – Present
Developed a front-end and back-end interaction scenario for Student Record Management using Tkinter Python GUI and MySQL. Designed key aspects of the Front-end including layout, User Interface (UI) and overall user experience. Created a dynamic application that can store and retrieve data from a database. The PyMySQL package is used here to manage database operations using Python.
Smart Clinic Management System (Coursera)
June 19, 2026 – Present
Designed and implemented a microservices-based web application for managing patient records, appointments, and staff roles using Spring Boot, RESTful APIs, and Hibernate ORM with both SQL and NoSQL databases. Built responsive UI interfaces for admins and users using HTML/CSS/JavaScript and containerized the full stack using Docker. Integrated CI/CD workflows and published complete documentation on GitHub.
Scalable Hybrid Web Infrastructure on AWS with High Availability (Coursera)
June 19, 2026 – Present
Architected and deployed a fault-tolerant, scalable PHP/MySQL web application across public and private subnets using Elastic Load Balancer, Auto Scaling, and CloudFormation templates. Configured a VPN tunnel between on-prem and AWS, implemented NAT Gateway for private subnet access, hardened infrastructure with bastion host and security groups, and managed identity via IAM policies
AWS Cloud Solutions Architect Professional Certificate
Coursera
July 1, 2025 – Present
IBM Java Developer Professional Certificate
Coursera
July 1, 2025 – Present
Machine Learning Specialization
Stanford University & DeepLearning.AI - Coursera
January 1, 2025 – Present
Blockchain Specialization
State University of New York, Buffalo - Coursera
January 1, 2025 – Present
Ramaiah Hackathon
Institution's Innovation Council (IIC)
September 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background and numerous Coursera certifications (Machine Learning, AWS, Blockchain, Java) demonstrate a strong drive for continuous learning and self-improvement, which is a positive cultural indicator. The diversity of academic projects, ranging from low-level CPU design to full-stack web applications and AI/ML models, shows a broad technical curiosity and willingness to tackle different challenges. This breadth, while not always directly aligned with a pure Data Analyst role, indicates adaptability and a strong learning aptitude. The trainee experience at Mu Sigma, a data analytics firm, further aligns with the target role, suggesting an understanding of the industry's demands.
Soft Skills & Operational Fit
The candidate's experience in a trainee role at Mu Sigma, involving collaboration in agile sprints and structured training in business problem-solving, suggests a foundational understanding of operational workflows and teamwork. The project descriptions indicate an ability to work on complex, multi-faceted problems, which aligns with the problem-solving aspect of a Data Analyst role. However, direct evidence of advanced soft skills like stakeholder management or complex presentation skills is not explicitly detailed.