Garlapati Anusha (アヌーシャ) — Data Scientist
I am a passionate AI engineer focused on creating Proofs of Concept (POCs) to address diverse business challenges. My work emphasises AI model fine-tuning and prompt engineering. I bring a strong foundation in data science, leveraging experience from my prior role as Data Scientist at KPIT, where I focused on predictive analytics for electric vehicle data and explored techniques for lithium-ion battery longevity prediction using advanced machine learning models. My journey into technology includes internships at Cognizant and Datalogy, where I gained expertise in data integration and machine learning. I am well-versed in Python, SQL, and a variety of tools for data analysis, natural language processing, time series, and machine learning. My advanced skill set includes implementing machine learning algorithms, time series analysis, and LLMs, along with generative AI and prompt engineering. I have also contributed to innovative research and projects, presenting at leading conferences, including the IEEE and EAI. In addition to my technical proficiency, I am keen on continuous learning. With a flexible mindset and a dedication to expanding my horizons, I am committed to integrating technical expertise with impactful research and development.
Stackforce AI infers this person is a skilled AI Engineer specializing in machine learning and data science for automotive applications.
Location: Bengaluru, Karnataka, India
Experience: 3 yrs 3 mos
Skills
- Machine Learning
- Data Science
Career Highlights
- Expert in AI model fine-tuning and prompt engineering.
- Strong foundation in predictive analytics for electric vehicles.
- Presented innovative research at leading conferences.
Work Experience
IBM
Data Scientist - Chief Analytics Office (2 mos)
AI Engineer (2 yrs 1 mo)
KPIT
Software Engineer (1 yr)
Cognizant
Intern (6 mos)
Education
Bachelor of Technology - BTech at Amrita Vishwa Vidyapeetham
Intermediate at Bhashyam IIT Junior College
Secondary Education at Bhashyam Public School