Naga
Hyderabad, Telangana, India
Experience: 2 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, Power BI, Python3, scikit-learn, Selenium
Previously worked at: Startups
Assessment Score: 50
- Educational Background and Certifications
Holds a PG Diploma in Data Science from the International Institute of Information Technology Bangalore (IIIT B), and a Doctor of Pharmacy (Pharm D). Further bolstered skills with certifications in practical ML implementation, Python, and Generative AI from platforms like HackerRank and 360Digitmg. - Data Science Internship and Freelancing Experience
Currently working as a Data Science intern at Agie Ai Technology, contributing to Generative AI projects. Accumulated 2 years of freelancing experience, specializing in statistical analysis, machine learning, and predictive modeling for business and healthcare, delivering actionable insights and driving decision-making. - Technical Skills and Expertise
Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn), MySQL (Joins, SubQueries, Stored Procedures), machine learning (Scikit-learn), deep learning (PyTorch, TensorFlow), and data visualization tools (Power BI, Streamlit). Adept in using APIs, cloud platforms (AWS EC2), and frameworks for Natural Language Processing and Generative AI. - Project Experience in Healthcare and Business
Led impactful projects such as Pharmaceutical Pre-Authorization Analysis, which reduced authorization needs by 25%, and Credit Risk Analysis, achieving 96.76% accuracy. Demonstrated success in applying ML algorithms to real-world healthcare and business data, driving improvements in prescription processing and client risk identification. - Pharmaceutical Data Research and Analysis
Gained valuable experience as a Senior Researcher in Global Data Plc., conducting extensive drug life cycle research, analyzing clinical trial data, and validating pipeline product updates from various regulatory sources. Proficient in leveraging literature research and regulatory databases for data-driven decision-making. - Multidisciplinary Projects and Personal Contributions
Executed multiple personal and professional projects, including the development of an AI-driven content generation system and a pharmaceutical data scraping project, applying advanced ML techniques like Word2Vec, K-means Clustering, and Linear Regression to predict substitutes and market trends.