Shubhapriya
Bardhaman, Burdwan Division, West Bengal, India
Experience: 2 years
Education: Masters
Availability: Immediate
Skills: CPP, LLMs/ChatGPT, Matplotlib, NumPy, pandas, Python, Python3, PyTorch, scikit-learn, TensorFlow
Previously worked at: IT Service Companies, Startups
Assessment Score: 50
- Educational Background
The candidate holds an M.Tech in Multimedia Information Processing from IIT Kharagpur (2022) and a BE in Computer Science from Burdwan University (2018), with a strong foundation in machine learning, deep learning, and data science. - Professional Experience
With experience in various AI and data science roles, the candidate has worked as a Data Scientist at Gaius Networks (Flipped.ai), contributing to the development of a CV parser and implementing advanced NLP techniques. They have also served as an AI Research Intern at Metapix, building models for virtual fitting applications, and as a Deep Learning Intern at Med Tour Easy Pvt. Ltd., focusing on image classification for sign language recognition. - Technical Skills
Proficient in Python, C++, Keras, TensorFlow, PyTorch, Scikit-learn, Numpy, and Pandas. Experienced with machine learning and deep learning models including CNN, LSTM, decision trees, and random forests. Skilled in SQL, AWS, and utilizing frameworks like Llama2 and Langchain for natural language processing tasks. - Key Projects and Accomplishments
The candidate has successfully developed a resume parser application using Llama2 and Langchain, contributing to improved resume analysis efficiency. They also developed a classifier for ad tracking fraud prediction, employing advanced boosting algorithms such as XGBoost and AdaBoost to enhance prediction accuracy. Notably, their work on a weather data summary generator achieved a 75% BLEU score improvement using LSTM and GloVe embeddings. - Hackathons and Virtual Experience
Participated in several hackathons and virtual internship programs, including a Data Analytics program at ANZ, where they applied exploratory data analysis and predictive analytics techniques, and a Software Engineering program at JP Morgan Chase, which involved working with stock price data. - Certifications and Professional Development
The candidate has earned certifications in Machine Learning with Python from IBM and has participated in notable hackathons, including the Machine Hack Taxi Trip Fare Prediction challenge, further showcasing their hands-on experience and passion for continuous learning in the data science field.