Ansh
Sant Kabir Nagar, Gorakhpur Division, Uttar Pradesh, India
Experience: 3 years
Open to: Fractional, Full-Time, Part-Time
Education: Bachelors
Availability: Within 30 Days
Skills: C, CPP, Docker, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, PostgreSQL, Python, Python3, PyTorch, scikit-learn, Selenium, TensorFlow
Previously worked at: IT Service Companies, Startups
Assessment Score: 80
- Experience in Data Science and Machine Learning
With over 2.5 years of experience in data science and machine learning, demonstrated expertise in applying AI models and data-driven strategies across sectors like insurance and drug discovery, achieving high-impact solutions with precision and efficiency. - Strong Academic Background
Graduated with a B.Tech in Electrical Engineering from IIT Kanpur, supplemented by a Minor in Industrial and Management Engineering. Recognized for exceptional academic achievements, including a top rank in the IIT-JEE exams and securing All India Rank 570 in KVPY 2016. - Significant Contributions in Crop Insurance and Healthcare
As a Data Scientist at Kshema General Insurance, developed innovative AI-driven solutions, such as an automated crop insurance claims system and an object detection model for crop type identification. Previously, as Junior Data Scientist at Innoplexus, contributed to groundbreaking drug discovery models using LLMs, NLP, and computer vision. - Leadership and Mentorship in Data Science Projects
Led cross-functional teams at Innoplexus, guiding junior data scientists in building ML pipelines and achieving business goals. Recognized with the Best Performer award for playing a key role in securing important partnerships through data-centric strategies. - Expertise in AI Models and Techniques
Proficient in developing and deploying cutting-edge machine learning models, including generative AI for drug development, GCN models for gene interaction prediction, and satellite-based pixel classification for flood and crop damage mapping. Experienced with frameworks like TensorFlow, PyTorch, and Hugging Face, among others. - Innovation and Intellectual Property
Demonstrated a strong innovation track record with multiple patents filed, covering drug target prediction, antibody sequence generation, and protein structure analysis, further reinforcing a solid foundation in applied AI and deep learning techniques.