Sai
Hyderabad, Telangana, India
Experience: 3 years
Open to: Full-Time
Education: Masters
Availability: Within 30 Days
Skills: Azure, Data Warehouse, Databricks, Git, Java, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, No Code, NumPy, pandas, Pentaho, Power BI, Problem Solving, PySpark, Python, Python3, PyTorch, R, scikit-learn, Tableau, TensorFlow
Previously worked at: Fortune 500, IT Service Companies
Assessment Score: 100
- Data Science Expertise: With 3+ years of experience, demonstrated advanced proficiency in machine learning, deep learning, and natural language processing, applying innovative AI solutions in domains such as finance, operational automation, and image synthesis. Skilled in tools and frameworks like TensorFlow, PyTorch, FLAN-T5, and SBERT, showcasing expertise in predictive modeling and generative AI.
- Academic Foundation and Research Excellence: Holds a Post Graduate Diploma in Big Data Analytics from Goa Institute of Management and a Bachelor’s in Information Technology from SRM Institute of Science and Technology. Recognized for academic excellence with a nomination for the GIM Gold Medal and research contributions in diffusion models for image reconstruction, achieving a 15% improvement in visual quality.
- Impactful Professional Contributions: Successfully automated salary detection processes at HDFC Bank, reducing manual interventions by 45%, and developed income forecasting models, enhancing loan sanctioning accuracy by 25%. At TCS, implemented predictive churn models and customer sentiment analysis to significantly reduce churn rates in car finance services.
- Project Leadership and Innovation: Led the development of an AI-powered admissions chatbot at GIM, achieving a 48% improvement in user interaction outcomes. Spearheaded advanced diffusion models for enhanced image synthesis, reducing computational costs by 30% and increasing image fidelity by 20%, demonstrating leadership in cutting-edge AI applications.
- Technical Skillset and Tools: Proficient in Python, SQL, Power BI, TensorFlow, Keras, and advanced machine learning techniques, including supervised, unsupervised, and reinforced learning. Specialized in Generative AI technologies like LLMs, diffusion models, and custom loss functions, with hands-on experience in cloud platforms and scalable data pipelines.
- Recognition and Operational Achievements: Earned accolades for improving risk management strategies and operational efficiency, including a 30% reduction in data discrepancies for asset validation and a 20% enhancement in predictive model accuracy. Consistently delivered measurable outcomes across various AI-driven initiatives, contributing to organizational growth and client success.