Pranjal
Prayagraj, Prayagraj Division, Uttar Pradesh, India
Experience: 3 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: CPP, LLMs/ChatGPT, Matplotlib, MSSQL, NumPy, Oracle, pandas, Python, Python3, scikit-learn
Previously worked at: US-based Companies
Assessment Score: 75
- Educational Background
Holds a B.Tech in Electrical Engineering from IIT Hyderabad (2017-2021), with a CGPA of 7.08. Prior to this, completed CBSE X with a CGPA of 9.4 and CBSE XII with 73.2% from New RSJ Public School, Prayagraj, UP. - Professional Experience – Machine Learning Engineer
Currently working as a Machine Learning Engineer at Reventics since September 2021 in Hyderabad. Developed an NLP-based program for Medical Charts to increase efficiency, improving precision by 25%. Automated in-production scripts and enhanced physician engagement rates, resulting in a 15% increase in physician reimbursement revenue. - Machine Learning & NLP Expertise
Proficient in Python, C++, NLP tools like Spacy and NLTK, and deep learning frameworks including TensorFlow and Keras. Skilled in data preprocessing, model development, and implementation of NLP and deep learning solutions for real-world applications. - Projects
Led the Voice Recognition AI Toy Car project at IIT Hyderabad, using Arduino and LSTM deep learning models to control a toy car through voice commands. This project highlighted expertise in both hardware integration and advanced machine learning techniques. - Certifications & Online Courses
Completed multiple MOOCs, including Machine Learning, NLP with Probabilistic Models, and DeepLearning.ai Specialization on Coursera, enhancing skills in machine learning, natural language processing, and deep learning methodologies. - Additional Skills and Achievements
Strong understanding of data structures, algorithms, and SQL. Actively participated in extracurricular activities such as mentoring freshers through Sunshine Counselling Group and volunteering for NSS events. Achieved AIR 2243 in JEE Advanced 2017 and AIR 3 in the National Science Olympiad.