Nikhil
Faridabad, Faridabad Division, Haryana, India
Experience: 15 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: NumPy, pandas, Python, PyTorch, R, scikit-learn
Previously worked at: India-based Companies
Assessment Score: 50
- Experienced Data Scientist in Healthcare
Over 4 years of experience in data science, specializing in machine learning, statistical modeling, and AI applications in healthcare. Currently working at the Translational Health Science and Technology Institute, focusing on risk prediction models, image-based forecasting, and socioeconomic data analysis related to adverse birth outcomes. - Educational Background
Holds a Bachelor of Technology in Electronics and Communication Engineering from Lovely Professional University. Additionally, the candidate has completed multiple specialized certifications in statistics, probability, and machine learning, further enhancing their analytical skills. - Work Experience in Healthcare and Research
At THSTI, the candidate develops and validates machine learning and deep learning models for preterm birth prediction and ultrasound-based gestational age estimation. They also designed R-based dashboards to automate processes, significantly improving operational efficiency. Previously, they led data analysis and modeling projects as a Research Assistant, collaborating on public health initiatives. - Research Contributions and Publications
Actively engaged in publishing research on various aspects of prenatal health, including immune marker changes during pregnancy and the development of deep learning models for gestational age estimation. Notable work includes contributions to the Garbh-Ini cohort on birth outcome prediction and external validation of healthcare models. - Technical Proficiency and Data Science Skills
Proficient in statistical modeling, machine learning, and data analysis tools such as R, Python, RShiny, SQL, and various Python libraries (e.g., Numpy, Pandas, Scikit-learn). The candidate has a strong background in building and implementing predictive models and has a passion for automating data-related tasks to improve efficiency. - Certifications and Interests
Holds several certifications in probability, statistics, machine learning with Python, and public health analytics. Outside of work, the candidate has interests in swimming, football, and gaming, demonstrating a well-rounded personality with a balance of professional expertise and personal hobbies.