Open to opportunities

Vikas Thamke

@vikasthamke1

Message

Data Scientist with expertise in Machine Learning and AI innovations.

India

Message

What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to leverage my AI expertise to drive impactful projects.

I am a passionate Data Scientist with an M.Tech in Computer Science from IIT Kanpur, where I ranked among the top 5 percentile of my class. My expertise lies in Machine Learning, Deep Learning, Natural Language Processing, and Generative AI. I have successfully developed and deployed AI-driven models that significantly improved accuracy in various applications, including ECG analysis and forecasting.

Throughout my career, I have led cross-functional teams remotely, utilizing tools like GitHub, Slack, and FastAPI to foster collaboration and deliver scalable AI solutions. My projects, such as the Hybrid Log Classification System and Car Damage Detection, showcase my ability to integrate advanced technologies and optimize processes, achieving remarkable results in efficiency and accuracy.

Experience

Work history, roles, and key accomplishments

Data Science Intern

AtliQ Technologies

Jan 2025 - Jan 2025 (0 months)

Devised XGBoost models with 92% accuracy, explored and analyzed data, derived over 10 visual insights, and improved business forecasting. Integrated MLflow and DagsHub to streamline machine learning experiment tracking, leading to a 15% reduction in model development cycle time.

XGBoost MLFlow Data Analysis Machine Learning

Project Lead

Self-Employed

Jan 2025 - Jan 2025 (0 months)

Engineered a hybrid log classification system improving accuracy by 40% and developed a FastAPI server for seamless integration. Built a car damage classification system using CNNs, achieving 80% test accuracy and reducing inspection time by 60%.

fastAPI CNN Image Processing

Senior Software Developer

Agasta Software Pvt. Ltd

Jul 2023 - Nov 2023 (4 months)

Refined ECG analysis algorithms, improving heart rate and PQRST peak detection accuracy by 40%. Implemented Minnesota codes for ECG classification, increasing anomaly detection accuracy by 30%. Orchestrated a remote team in neural network classifier development, delivering the project 2 weeks ahead of schedule.

ECG Deep Learning Neural Networks Agile Methodologies Remote Team Management

Researcher

Self-Employed

Jun 2022 - Jun 2023 (1 year)

Conducted trade-off analysis on AI model fairness, adopting feature weighting techniques to minimize algorithmic bias. Evaluated the FairSense algorithm against IBM's AI Fairness 360 toolkit, achieving a 15% higher fairness score.

Feature Weighting AI Bias Trade Off Evaluation

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Kanpur

Master of Technology, Computer Science and Engineering

Grade: CGPA 8.71/10

Completed a Master of Technology (M. Tech) in Computer Science and Engineering, ranking among the top 5 percentile in a batch of 85 students. Focused on advanced topics such as Machine Learning, Data Mining, Information Retrieval, and Deep Learning.

Amity University Jaipur

Bachelor of Technology, Computer Science & Engineering

Earned a Bachelor of Technology (B. Tech) in Computer Science & Engineering, gaining foundational knowledge and skills in computer science principles and practices.