Adarsh Mamidpelliwar

AI Researcher

Hyderabad, Telangana, India7 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expertise in Deep Learning and Computer Vision.
Proficient in Python and MLOps for cloud deployment.
Strong background in Generative AI and LLMs.

Stackforce AI infers this person is a Data Science expert with a focus on Deep Learning and AI technologies.

Contact

Skills

Core Skills

Data AnalysisModel Development

Other Skills

Amazon Web Services (AWS)Analytical SkillsArtificial Intelligence (AI)CollaborationComputer VisionContinuous LearningConvolutional Neural Networks (CNN)Data MiningData ModelingData ScienceData VisualizationData WranglingDeep LearningDeep Neural Networks (DNN)Docker Products

About

1. Passionate about State-of-the-Art technology in Deep Learning 2. Passionate about Image processing, Generative AI and LLMs 3. Great background in Computer Vision 4. Solid fundamentals in Machine Learning, MLOps, and cloud deployment 5. Experience in the model optimization process for edge device deployment 6. Proficiency in Python 7. Self-motivated and great teammate

Experience

7 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

2 yrs 4 mos

Current Experience

Yash technologies

Senior Data Scientist

Jan 2024 – Present · 2 yrs 4 mos · Hyderabad, Telangana, India

Innominds

Data Scientist

Feb 2021 – Jan 2024 · 2 yrs 11 mos · Hyderabad, Telangana, India · Hybrid

Innodatatics * innovation | data | analytics

Associate Data Scientist

Feb 2019 – Feb 2021 · 2 yrs · Hyderabad, Telangana

Freelance

Data Science Consultant

Sep 2018 – Feb 2019 · 5 mos · Remote

Data Analysis: Analyse datasets to identify trends, patterns, and insights. Transform complex data into understandable and actionable information.
Data Wrangling: Clean, manipulate, and manage data from diverse sources to prepare it for analysis.
Model Development: Develop and implement statistical models and machine learning algorithms to solve specific business problems.
Collaboration: Work closely with client team, to understand business needs and deliver data-driven solutions.
Report Generation: Prepare reports and presentations to communicate findings.
Continuous Learning: Stay updated with the latest trends and techniques in data science, machine learning, and deep learning.

Data AnalysisData WranglingModel DevelopmentCollaborationReport GenerationContinuous Learning