Shrey
Raipur, Raipur Division, Chhattisgarh, India
Experience: 6 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: CPP, Django, Git, JavaScript, Jupyter Notebooks, Kubernetes, LLMs/ChatGPT, Matplotlib, MongoDB, MySQL, NumPy, pandas, PostgreSQL, Power BI, Problem Solving, Python, Python3, React, STL, Tableau, TensorFlow, Visual Basic, WordPress
Previously worked at: Startups
Assessment Score: 60
- Educational Background
Currently pursuing a B.Tech in Electronics and Communication Engineering from the National Institute of Technology, Raipur, with a CGPA of 8.05. Completed Class 12 and 10 with high academic excellence (95.6% and 94.4%, respectively). - Internship Experience
Participated in the Amazon ML Summer School (July 2023), gaining insights into Machine Learning and Deep Learning from applied scientists. Completed an ML internship at Pantech Solutions (Sept–Oct 2024), where they developed a License Plate Recognition system and an AI-driven tool for detecting malarial cells in blood smears, improving diagnostic efficiency. - Project Experience: Tweet Sentiment Analysis
Developed a sentiment analysis tool for tweets using NLP techniques and machine learning libraries such as scikit-learn, Pandas, and TensorFlow to analyze and evaluate public sentiment. - Project Experience: PUBG Placement Win Prediction Tool
Built a predictive model using CatBoost to forecast player placements in PUBG games, processing in-game feature data for enhanced prediction accuracy. - Technical Skills
Proficient in Python (Numpy, Pandas), SQL, C++, and machine learning frameworks like TensorFlow, Keras, and scikit-learn. Experienced with tools like Power BI, Tableau, and Google Colab, as well as web technologies like HTML, CSS, JavaScript, ReactJS. - Achievements and Recognition
Selected for Amazon ML Summer School 2024 from over 80,000 applicants. Active on coding platforms with achievements like solving 800+ DSA problems, earning 5-star ratings in SQL on HackerRank, and receiving badges on Kaggle for Python and dataset creation.