Apratim Bajpai — Project Manager
My background spans cell and molecular biology, biomechanics, and biophysics, with a particular emphasis on vascular cells and diseases. Over time, I have grown increasingly passionate about data science, especially its transformative applications in biotechnology and biomedical research. I view data science not just as a tool, but as a primary driver of innovation, enabling deeper insights into complex biological systems. Motivated by this potential, I have devoted significant time to developing expertise in machine learning and deep learning–based modeling and analysis. I am actively seeking opportunities where I can integrate my biological knowledge with cutting-edge data science approaches to uncover novel insights and drive impactful discoveries. My skill set bridges biology and data science, and includes scientific writing, oral scientific communication, risk management of research projects, bioinformatics, and computational modeling. Summary: ▪ Data-driven scientist with 8 years of experience in leveraging machine learning, deep learning, and statistical modeling to solve complex biological problems, supported by 11 peer-reviewed publications, 2 conference talks, and 1 book chapter. ▪ Technical specialist with a strong foundation in bioinformatics, image processing, and deep learning, along with microscopy and software development, consistently delivering results under tight timelines. ▪ Skilled communicator and collaborator, having led interdisciplinary efforts across 11 academic publications, 9 teaching/outreach programs, and 7 academic courses, while also managing teams in both academia and industry. Skills: Data Science · Deep Learning · Research and Development · Prototyping · Data Analysis · Project Management · Technical Writing · Presentation · Collaboration · Leadership Programming Languages: Python, R, MATLAB, SQL, C++ Data Science & Deep Learning: TensorFlow · Scikit-learn · Seaborn · NumPy · Pandas · Bioconductor (R) · ImageJ Lab & Experimental Techniques: Cell/Tissue Culture · Immunofluorescence Staining · siRNA/Viral Transfection · In Vitro Assays · Microfabrication · Surface Functionalization · Atomic Force Microscopy · Light/Confocal Microscopy · RT-qPCR
Stackforce AI infers this person is a Data Scientist specializing in biotechnology and biomedical research.
Location: New York, New York, United States
Experience: 11 yrs 6 mos
Career Highlights
- 8 years of experience in data-driven biological research.
- 11 peer-reviewed publications showcasing research impact.
- Expertise in machine learning and deep learning applications.
Work Experience
S&D Corp
Project Manager (2 yrs 10 mos)
Icahn School of Medicine at Mount Sinai
Postdoctoral Researcher (9 mos)
Postdoctoral Researcher (10 mos)
New York University
Data Scientist (5 yrs)
Graduate Teaching Assistant (4 yrs 8 mos)
NYU Tandon School of Engineering
Lead Mentor, Applied Micro-Bioengineering Lab (3 yrs 8 mos)
Larsen & toubro
Senior Engineer (1 yr)
Graduate Engineering Trainee (1 yr)
Education
Master of Science - MS at Georgia Institute of Technology
Doctor of Philosophy - PhD at New York University
Master of Science (M.S.) at New York University - Polytechnic School of Engineering
Bachelor of Technology (B.Tech.) at NIT Trichy
Full Stack Web Development Certification at Free Code Camp