Kartik Chincholikar

Kartik Chincholikar

$10/hr
Machine Learning, Data Science, Education
Reply rate:
-
Availability:
Hourly ($/hour)
Location:
Pune (Poona) [Poona], Maharashtra, India
Experience:
1 year
Kartik Chincholikar Phone-Alt - | Envelope-| GLOBE Website | Map-marker-alt Pune, India EXPERIENCE Equitech Futures Associate Researcher, Teaching Assistant • • • • Identified risk factors for chemotherapy-induced nausea and vomiting (CINV) in breast cancer patients Collaborated with domain experts and enabled efficient distribution of expensive antiemetic medicines Assisted students with data cleaning, EDA, feature selection, NLP(transformers/BERT) and Bayesian modelling Evaluated the feasibility of AI solutions for various domain-specific problems YouTube Creator (@Kartikc @Kartikc) @Kartikc • • • • • • • January 2020 – Present Pune, India Elucidated Machine Learning concepts using visualizations and simulations, totalling 1300+ hours of watch time Gained recognition from Professors and leading AI Researchers from Qualcomm AI Research, the University of Waterloo, the University of Amsterdam, the University of Chicago and the University of Oxford Implemented Machine Learning models from scratch with NumPy Highlights: Group Networks, Hypothesis, Group Equivariant Equivariant Neural Neural Networks Networks Manifold Manifold Hypothesis Hypothesis Statistical Statistical Learning Learning Theory Theory Badminton School Founder • March 2022 – April 2023 Chicago, IL (Remote) September 2017 – January 2021 Pune, India Built an annotation tool to manually collect the data from videos of Badminton players Derived Derived insights insights from sequential data of 40+ Badminton players to find "Patterns of Play" on YouTube YouTube reaching 2.5 million viewers and garnering 34,000 Subscribers Taught the basics of Badminton on YouTube, Coached beginner and intermediate badminton players of all ages PROJECTS Group Equivariant Neural Networks • • • Improved upon Patchcore-inspection Patchcore-inspection (Industrial Anomaly Detection) by replacing non-equivariant convolutional neural networks with pre-trained equivariant ones Visualized and animated a forward pass through an equivariant neural network architecture The The resulting resulting video video was acknowledged by leading researchers Taco Cohen (Qualcomm AI Research), Gabriele Cesa (Qualcomm AI Research), and Erik Bekkers (University of Amsterdam) Gamification • • Implemented a gamified points system which motivated 300+ runners to train consistently Built an Android app to display leader-boards and to enable runners to share post-run photos and screenshots with friends EDUCATION Maharashtra Institute of Technology BE Mechanical Engineering • 2012 – 2016 Savitribai Phule Pune University, India Coursework: Operations Research, Industrial Automation, Manufacturing, Materials Science, Numerical Methods SKILLS Languages : Python, SQL, Java, HTML/CSS, JavaScript Machine Learning Stack : ETL, EDA, NumPy, matplotlib, pandas, Scikit-Learn, PyTorch, PyG, TensorFlow Tools : Google Cloud Platform (BigQuery, Vertex AI, Cloud Storage), GitHub, Notion, Adobe Photoshop, Adobe Premiere Pro, Canva
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