Data Science with less than a year in data analytics, web development, and machine learning.
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Assessing your cultural and operational fit
Detail-oriented Data Analyst and ReactJS Developer with a strong background in data analytics, web development, and machine learning. Skilled in utilizing data to generate insights, building interactive applications, and optimizing operational processes. Adept at deploying scalable applications using ReactJS and improving data-driven decision-making. Proven ability to enhance user experience and system performance through effective use of data analysis and full-stack development. Strong communicator and team player with a focus on cross-functional collaboration.
Dr. M.G.R. Educational and Research Institute, Chennai
B.Tech · Computer Science & Engineering (Data Science & AI)
August 1, 2021 – June 30, 2025
Vishwa Chethana pu college, Bengaluru
12th Standard · Science (PCMCs)
June 1, 2019 – May 31, 2021
Silent Speech Recognition (TensorFlow, NLP)
October 1, 2025 – June 1, 2026
Led the analysis of lip movement data and worked with TensorFlow to develop a model that translates lip movements to text for speech-impaired individuals. Analyzed datasets and used machine learning techniques to refine the model, achieving 85% accuracy. Applied NLP techniques to enhance text recognition, improving real-time performance and user experience.
Deep Fake Detection (ResNet + LSTM)
October 1, 2025 – June 1, 2026
Analyzed video datasets and developed a machine learning model using ResNet and LSTM for detecting deep-fake videos. Processed and cleaned video data to improve the model's accuracy, achieving 92% on benchmark datasets. Conducted statistical analysis to assess the model's performance and fine-tuned it for real-time video analysis.
Machine Learning using Watson Studio
IBM
June 1, 2026 – Present
Business Intelligence
IBM
June 1, 2026 – Present
React js developer
Udemy
June 1, 2026 – Present
Artificial Intelligence Analyst
IBM
June 1, 2026 – Present
Big Data Engineer
IBM
June 1, 2026 – Present
Introduction to Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of AI and data science, from accessibility (silent speech recognition) to security (deep fake detection). Participation in hackathons and national competitions suggests a drive for innovation and a competitive spirit. The listed certifications cover a broad range of relevant skills, indicating a commitment to continuous learning and adaptability, which aligns well with a dynamic technical culture.
Soft Skills & Operational Fit
The candidate highlights strengths in creative problem-solving, leadership, collaboration, and effective communication. These are valuable soft skills for a Data Science role, especially in team-oriented environments. The project descriptions suggest an ability to work through complex technical challenges and deliver measurable results (e.g., model accuracy).