Bhonagiri
Hyderabad, Telangana, India
Experience: 3 years
Open to: Fractional, Full-Time, Part-Time
Education: Bachelors
Availability: Immediate
Skills: Git, Grafana, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MongoDB, MySQL, NumPy, pandas, Python, scikit-learn, TensorFlow
Previously worked at: Fortune 500, India-based Companies, Product Companies, Startups
Assessment Score: 79
- Experience Overview: A Data Science Intern with hands-on experience in machine learning and data analysis, having worked as a Data Scientist Consultant at Rubixe, where significant contributions were made in data collection, cleaning, analysis, and model development for business optimization.
- Project Development: Led several impactful projects, including a Speech-to-Speech Bot using Large Language Models, an AI Chatbot with Google’s Generative AI, and a Flight Price Prediction model that improved accuracy by 15%. Also developed a deep learning model to predict rice leaf diseases, achieving 95% accuracy and reducing crop loss by 30%.
- Technical Skills: Proficient in Python, SQL, and machine learning algorithms (e.g., Linear Regression, SVM, KNN, XGBoost). Strong knowledge of deep learning algorithms (ANN, CNN), NLP techniques (NLTK, Spacy), and Generative AI models (Gemini-1.5, LangChain), along with tools like Jupyter Notebook, Google Colab, and GitHub.
- Educational Background: Holds a Bachelor of Engineering (B.E.) in Mechanical Engineering from Matrusri Engineering College with a CGPA of 6.59. Demonstrated strong academic performance in intermediate studies (87.8%) and 10th grade (GPA: 8.3).
- Certifications & Skills Development: Certified Data Scientist by the International Association of Business Analytics (IABAC) and NASSCOM. Focused on continuous learning, with skills in machine learning, deep learning, NLP, and Gen AI technologies to develop actionable insights and solutions.
- Collaboration & Teamwork: Demonstrated excellent collaboration skills by working closely with cross-functional teams on real-world projects, effectively communicating insights through data visualization and ensuring timely project completion with practical experience in data science methodologies.