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Data Science with less than a year in Python, Machine Learning & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Focused and detail-oriented B.Tech graduate in Computer Science and Engineering with strong problem-solving, communication, and teamwork skills. Proactive and adaptable, with a solid foundation in Python programming, SQL, and data analysis using NumPy, Pandas and Power BI. Eager to contribute to real-world solutions and grow in a challenging professional environment.
M. Dasan Institute of Technology
B.Tech · Computer Science and Engineering
November 1, 2021 – April 1, 2025
Emjay VHSS
Class XII
June 1, 2020 – March 1, 2021
Emjay VHSS
Class X
June 1, 2018 – March 1, 2019
PySpiders
Data Science using Python - Intern
August 1, 2025 – April 1, 2026
Bengaluru, Karnataka, India
Cyberbullying Detection Project
June 19, 2026 – Present
Developed a cyberbullying detection system using Python by implementing LSTM for harmful comment detection and CNN with Dlib for face detection and blurring. Used MySQL to store user data, comments, and image metadata while ensuring secure and accurate data handling.
AI RAG Chatbot
June 19, 2026 – Present
Developed an AI-powered Retrieval Augmented Generation (RAG) chatbot using Python, LangChain, and FAISS. Processed documents through semantic chunking and embeddings to enable intelligent question answering. Integrated multi-tool agents with search and calculator functionalities.
Employee Attrition Dashboard
June 19, 2026 – Present
DevDeveloped an Employee Attrition Dashboard in Power BI to identify key factors behind employee turnover, enabling HR insights on departmental attrition trends and helping reduce hiring costs through data-driven analysis.
Stock Price Prediction using Machine Learning
June 19, 2026 – Present
Built a stock price prediction model using Random Forest with Python. Performed data preprocessing, exploratory data analysis (EDA), and evaluated model performance using R2 score.
Deloitte Data Analytics Job Simulation
Forage
June 1, 2026 – Present
5-day Industrial Training in Python
Unknown
June 1, 2026 – Present
Full Stack Web Development Workshop
NIT
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in applying data science to various domains, including AI chatbots, cyberbullying detection, HR analytics, and financial prediction. This breadth of application, coupled with an internship focused on practical ML, suggests adaptability and a willingness to explore different challenges. The listed soft skills like collaboration and leadership also point towards a positive cultural fit within a team-oriented environment. However, all experience is academic or internship-based, so the ability to navigate complex organizational cultures is unproven.
Soft Skills & Operational Fit
The candidate highlights problem-solving, collaboration, quick learning, leadership, analytical thinking, and attention to detail as soft skills. These are valuable for a Data Science role, indicating a proactive and team-oriented approach. The academic projects and internship suggest an operational fit for data-driven environments, though the lack of professional experience beyond an internship means practical application in a corporate setting is yet to be fully proven.