Satwik
New Delhi, Delhi, India
Experience: 3 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: C, Java, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, Python, Python3, scikit-learn, Selenium, TensorFlow
Previously worked at: IT Service Companies
Assessment Score: 99
- Educational Background
The candidate is pursuing a B.Tech in Computer Science and Engineering at the Indian Institute of Information Technology, Sonepat, with a CGPA of 8.58 (2021–2025). They completed their Class 12 with 97.4% at Kendriya Vidyalaya, AFS, Thiruvananthapuram (2020–2021). - Hackathon Experience
Participated in the GSTN Analysis Hackathon (Sep–Oct 2024), where the candidate collaborated on developing a predictive model for GST analytics using AI/ML techniques. They worked with a dataset of 900,000 records and achieved an accuracy of 96% and an F1-Score of 0.955. - Project Work: Women Safety Analytics
Developed a real-time monitoring system (WoSaFT) to enhance women’s safety using advanced analytics. The system can monitor, analyze, and report gender distribution and detect suspicious scenarios, contributing to strategic safety planning. - Project Work: Coronary Heart Disease Prediction
Engineered a predictive model for estimating the 10-year risk of Coronary Heart Disease. By combining Random Forest and Artificial Neural Networks, the model improved its accuracy from 80% to 90%, aiding early risk detection. - Project Work: Attendance System using Face Recognition
Designed and implemented an automated attendance system using facial recognition. The system reduced manual tracking time by 80%, achieved over 95% accuracy, and minimized errors compared to traditional attendance methods. - Technical Skills and Tools
The candidate is proficient in Python, C, Java, SQL, and has hands-on experience with tools and libraries such as MySQL, TensorFlow, Keras, Scikit-learn, OpenCV, Selenium, and Jupyter Notebook, with coursework covering Machine Learning, AI, Data Structures, and Computer Vision.