Data Science with less than a year in Python and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fresher aspiring to build a career in AI/ML and Data Science. Skilled in Python, SQL, and Machine Learning, with a passion for solving problems and working with data. Eager to learn and contribute to real-world projects.
Dharmsinh Desai University
BTech · Information Technology
August 1, 2023 – June 30, 2027
Oxford School of Science
12th Science
June 1, 2021 – May 31, 2023
Customer Churn Prediction MLOps Pipeline
June 24, 2026 – Present
Developed a machine learning model to predict customer churn using historical customer behavior data. Implemented experiment tracking, model versioning, and performance monitoring using MLflow. Built REST APIs with FastAPI to serve real-time predictions and enable seamless model integration. Containerized the application using Docker and automated testing and deployment through GitHub Actions.
VisualTalk – Real-time Sign Language Translator
June 24, 2026 – Present
Currently developing an end-to-end ASL-to-text conversion system to facilitate real-time communication for deaf and hard-of-hearing users. Engineering a data pipeline to categorize 36 distinct gesture classes using MediaPipe for precise hand landmark detection and tracking. Refining deep learning model performance within Jupyter Notebook, focusing on enhancing classification accuracy through iterative dataset augmentation.
ChatLED – WhatsApp-Based IoT Home Automation
June 24, 2026 – Present
Developed a low-cost home automation system allowing users to remotely control and monitor lighting via WhatsApp messaging. Integrated Twilio API and ThingESP cloud services to bridge communication between mobile messaging and hardware. Engineered firmware in C++ for NodeMCU (ESP8266) to process real-time commands such as “LED ON/OFF" and provide instant status feedback. Designed a scalable circuit architecture using breadboarding and resistors, with planned expansion for appliance control using relay modules.
Cultural Fit Analysis
The candidate's academic projects show a strong alignment with the target role of Data Science, particularly in AI/ML applications. The diversity of projects, ranging from MLOps pipelines to real-time sign language translation and IoT home automation, indicates a broad interest in technology and a willingness to explore different domains. This breadth of skills and project types suggests adaptability and a curious mindset, which are positive indicators for cultural fit in an innovative environment. The candidate's objective to 'learn and contribute to real-world projects' also aligns with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving attitude. The academic projects demonstrate an ability to work on complex, multi-faceted problems, suggesting good analytical and execution skills. The focus on end-to-end solutions (from model development to deployment and monitoring) implies a structured approach to project work. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific communication styles in a professional setting.