Nikhil Amin Email & Phone Number

New York, Ny, Us

• Spearheaded the strategic development of AI-driven use cases for an innovative platform, focused on optimizing operational workflows and enhancing productivity for private equity and asset management firms.• Partnered with cross-functional teams to architect AI solutions leveraging NLP for intelligent document processing, LLMs for automating research workflows, and advanced data extraction techniques to manage and organize unstructured data from complex data rooms.

Greater London, England, United Kingdom

Greater London, England, United Kingdom

• Participated in the acquisition and restructuring of a renowned brand in administration, contributing to writing of the investment memo including product, operations and due diligence from lawyers, financial analysis and real estate evaluators in addition to sourcing and analyzing specific data from a vast data room to support strategic decisions. • Sourced over 200 potential investment deals, conducted preliminary L1 analysis on 100 of these opportunities which included presenting key facts, product positioning, science-backed insights and funding highlights showcasing robust deal-sourcing and evaluation capability.• Engaged with 21 founders to gather in-depth financial and operational insights followed by an L2 assessment that evaluated sales, gross margins, growth projections, EBITDA and equity share. • Collaborated closely with the financial lead on the M&A process to conduct two thorough L3 assessments to be presented to founding partners, which involved reviewing clinical research, analyzing product mechanisms, market insights, calculating gross profit margins, estimating company valuations, assessing ownership distribution and structure for stakeholders for both before and after investment and reviewing the income statement to ensure robust financial planning and strategy.• Authored a comprehensive primer on longevity in cosmetics, distilling complex scientific concepts such as stem cells, growth factors, exosomes, and epigenetics, into actionable insights for the founding partners. • Gained expertise in investor relations and capital raising processes in the successful $50 million fundraising effort for the firm’s inaugural fund, through identifying over 20 institutions. • Worked alongside senior partners to understand post-investment growth, involving the appointment of key personnel, strategic business planning and value creation on 3 portfolio companies.

New York, United States

• Initiated and led discussions with industry leaders and investors at a NeuroTech event, culminating in a report on current research trends, competitive positioning, and growth potential of NeuroTech companies.• Connected with over 500 leaders in the AI, BioTech, and NeuroTech industries on LinkedIn, expanding professional network and fostering potential collaboration opportunities.• Constructed a machine learning Python program leveraging Sentiment Analysis on Reddit data, to predict daily stock price movements of the S&P 500, illustrating proficiency in advanced data analytics and predictive modeling.• Developed a deep-learning Python model using an LSTM Neural Network to forecast currency pair price movements in the Foreign Exchange Market.

London, England, United Kingdom

• Contributed to the discussion to implement a machine learning algorithm within the Semel AI platform that will increase accurate cancer detection and identification of appropriate procedures from large datasets by 53%.• Collaborated with oncologists to evaluate the effectiveness of SDRT and Image-guided technology in minimizing damage to healthy tissue while delivering targeted radiation doses to tumors resulting in a reduction in side effects for the patient and adherence with risks and ethics.

London, England, United Kingdom

• Collaborated with computational neuroscientists, namely Dr Neil Oxtoby PhD, in the Progression of Neurodegenerative Diseases group at the UCL Centre for Medical Image Computing. • Authored a technical bioinformatics review research on a ML algorithm [SuStaln] application in early Alzheimer's diagnosis and frontotemporal dementia, identifying 10 pivotal research studies.• Evaluate SuStaln's ability to uncover disease phenotypic heterogeneity with distinct temporal progression patterns, highlighting critical thinking and written skills.

London, England, United Kingdom

• Leveraged Watson Knowledge Studio's NLP software to annotate hundreds of snippets from both unstructured and structured data provided by M&A teams. Categorized data into tax, legal, financial, and other relevant areas, resulting in the development of 50 concise due diligence reports that streamlined information for M&A analysts.• Partnered with senior associates to analyze these large unstructured and structured data sets, identify potential gaps, and provide project management expertise on increasing keyword detection by 20%. • Collaborated with data scientists to build Inside-Out, a platform that leverages financial news and public opinions to evaluate potential M&A companies, contributing to more informed decision-making by directors.

Stanford, California, United States

• Presented innovative research proposing the utilization of nanorobotics to reduce invasiveness in complex cardiothoracic procedures, contributing to the development of an innovative surgical approach.• Collaborated within a multidisciplinary team to achieve a remarkable 90% success rate in performing Proximal and Distal Coronary Artery Bypass and Aortic Valve Replacement on a porcine heart, demonstrating proficiency in agile surgical techniques and teamwork.

Master Of Science - Ms, Computer Science

Bachelor Of Science - Bs, Neuroscience