"Data! Data! Data! 'I cannot make bricks without clay' - Sherlock Holmes, The Adventure of the Copper Beeches, 1892. Data serves as the fundamental building block of functional and productive systems in society. However, the true value lies in our ability to analyze and unlock its secrets. I believe that the lens of analysis is paramount to deciphering the secrets of our day-to-day lives. With this principle in mind, I have honed my skills to: • Develop a commendable proficiency in computational and methodical informatics applications, enabling me to analyze and synthesize information across diverse multicultural environments. • Currently pursuing my Masters in Biotechnology, with a focus on Nanotechnology, while also taking additional courses in Data Science and Bioinformatics from renowned institutions. I leverage MOOC facilities to continuously expand my knowledge in this field. CORE SKILLS: • Proficiency in cutting-edge methodologies: NGS, drug design, molecular modeling, biological network analysis, and biophysics. • Expertise in Data Science with fluency in core languages like R and Python. • Proficient in data visualization and creating customized plots using Python and R. • Statistical prowess and adaptive selection of tools for diverse datasets. • Knowledgeable in biostatistical methods, accounting for overlooked variables in large demographics. • Actively involved in the development of ML tools for cancer detection and expanding to cover more disease detection systems. ACHIEVEMENTS: • Spearheaded the development of captivating pipelines and protocols for Next-Generation Sequencing (NGS), visualizing analyzed data in an alluring and easily understandable manner. • Pioneered the creation of DETECT-ALL, an innovative machine learning-based cancer detection application, securing a valuable grant from KIIT-TBI (Technology Business Incubator) through successful pitching. • Recognized as a top performer, advancing to the finale of the prestigious MSD Datathon. Contributed expertise to uncover insights from a crucial Drug Dataset, shedding light on factors impacting drug abusers and their treatment options. • Development of a Single Cell RNASeq analysis pipeline which can produce each and every detail required for analysis and visualization of samples taken from any part of the body ABOUT ME: ⦿ An individual who transformed a passion for computers, reading, and mathematics into impactful research. ⦿ Impeccable attention to detail and adept at navigating complex material. ⦿ Will deliver only after ensuring that I know what you want in detail.