Pranjal
Prayagraj, Prayagraj Division, Uttar Pradesh, India
Experience: 4 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: CPP, Docker, Git, LLMs/ChatGPT, Matplotlib, NumPy, pandas, Python, Python3, PyTorch, TensorFlow
Previously worked at: US-based Companies
Assessment Score: 80
- Educational Background
Completed a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT) Hyderabad, graduating with a CGPA of 7.08. Completed secondary education with a CGPA of 9.4 and higher secondary education with a percentage of 73.2%. - Current Role and Experience
Working as a Machine Learning Engineer at Reventics since September 2021, specializing in Natural Language Processing (NLP) and Deep Learning (DL) for medical chart analysis. Developed NLP-based solutions to increase the efficiency of medical coders and clinical documentation improvement specialists. - Key Achievements in NLP and Deep Learning
Designed and implemented an NLP-based Rule Engine to analyze medical charts, improving precision by 25%. Built deep learning models that enhanced critical care counts by 3.1%, significantly improving physician engagement and increasing physician reimbursement revenue by up to 15%. - Voice Recognition AI Project
Developed a voice recognition system for a toy car using Arduino and deep learning techniques at IIT Hyderabad. Employed LSTM layers to process sequential voice commands and control the car’s movements, showcasing practical application of deep learning in real-time control systems. - Technical Skills
Proficient in Python, C++, NLP, and data analysis tools such as TensorFlow, Keras, spacy, and scikit-learn. Well-versed in machine learning, data structures, algorithms, and using tools like Jupyter Notebook and VSCode for development and experimentation. - Extracurricular Activities and Achievements
Actively involved in mentoring and team-building activities through the Sunshine Counselling Group. Participated in the National Service Scheme (NSS) for community events. Achieved an All India Rank (AIR) of 2243 in JEE Advanced 2017 and AIR 3 in the National Science Olympiad.