1. Data support and management for ML based Clinical trial prediction model. Data support in terms of:o Data extraction and cleaning o Preparation of training datao Drug/disease Feature makingo Biological validation 2. Identifying promising US & EU pharma & biotech for investment based on o Clinical trial data readout date o Trial PoS from CTP model3. Investment research on selected companies based on PoS & readout date-o Biological analysis/validation of the pipelineo Fundamental research on companya Financial Analysisb Pipeline Analysisc Drug NPV Data o Analysis of the commercial opportunity including a Market share estimationb Competitive landscape4. Biotech dashboard for investors to shortlist most promising investment opportunity. Biotech Dashboard is a unique automated dynamic fundamental research dashboard that exhibitso Investment worthiness of a company on a scale of 1 to 10, where 10 indicates the best and 1 indicates the least attractive investment option. The scaling captures 100+ fundamental and product specific parameters.o Expected upside/downside based on positives or negative data presented in CT readouto CTP-based probability of success for the lead candidate for which data readout is coming upo Historical and upcoming clinical trial readouts and price actions post readouts in the pasto Biological & Commercial analysis of pipelineo DCF value of the company (NPV by drug)5. Data validation/support for other ongoing projects

1. Data support and management for ML based Clinical trial prediction model. Data support in terms of:o Data extraction and cleaning o Preparation of training datao Drug/disease Feature makingo Biological validation 2. Complete R&D pipeline analysis - standalone and versus competitor o Disease/trial prioritizationo Trial level SWOT analysis and feature building via publications3. Creation of therapeutic index in term of most innovative companies4. Identifying promising US & EU pharma & biotech for investment based on o Clinical trial data readout date o Trial PoS from CTP model5. Investment research on selected companies based on PoS & readout date-o Biological analysis/validation of the pipelineo Fundamental research on companya Financial Analysisb Pipeline Analysisc Drug NPV Data o Analysis of the commercial opportunity including a Market share estimationb Competitive landscape

• Responsible for end-to-end development activity and performance of a data terminal for Heckyl’s flagship product FiND from scratch as a Product Head • Creation of analytics from the operational and financial data that can be shown on terminal for company, industry, drug, disease or therapeutic area • Sourcing, cleaning and creation of drug, disease, therapeutic area level data and analytics• Specifying the business and product requirements and creating product specification documents via BRD • Conceptualizing and designing data and analytics type, widgets, functionalities, screens • Hands on involvement in marketing of the terminalPharma terminal is a dashboard that exhibits several operational data and analytics on Indian/global pharma including data on 40,000+ drugs, 4,000+ diseases, 2,000+ companies, and on-going and historical clinical trials. Pharma terminal offers high end analytics by combining data sets to help pharma companies in making informed decisions. Besides fundamental data, terminal offers regulatory and operational data sets. Analytics built around the data enables user to see all data sets at the level of company, disease, along with clinical trial analytics at disease, therapeutic area, phase, status, etc.

• Financial modeling and data creation for indication, industry and companies• Therapeutic landscaping – started with Oncology therapeutic areao Approved drugs with approval date and indication of approvalo Approved drugs by indication and revenue of the drug by indicationo MoA of drugs approved by indication o Type of therapies approved o Ongoing clinical trials a. On the approved drugs for new indicationb. New drugs by indicationc. Information on KoLs, Publications, etc.d. New MoAs, Pathways, targets in cancer therapy• Database of drugs that were to lose patent and the looming generic competition• Financial & market models and research reports in PPT format• Company profiling of privately held small biotech showing management profile, clinical and preclinical pipeline detailsWe covered global pharma companies, including big the top 10 pharma and drugs. Prepared detailed financial models and research report in ppt format on global as well as Indian companies. Besides, we had also developed brief profiles (2-pager) on 200+ privately held small pharma/biotech R&D companies. We published a therapy research report on cancer that comprises detailed cancer drug analysis in terms of approval profile, drug revenue analysis, patent expiry dates, etc.

Had coverage on: CRAMS companies – Divi’s Lab, Jubilant Life, Dishman Pharma, Biocon along with Glenmark Pharma (Directly) Passive coverage on Sun Pharma, Lupin, Cipla, Ranbaxy (now acquired by Sun Pharma), Dr. Reddy's Lab, Unichem, IPCA, Aurobindo, Cadila Healthcare and Torrent

Worked for various retail and HNI clients: Pharma companies - Sun Pharma, Lupin, Glenmark, Biocon, Piramal Healthcare, IPCA, Elder Pharma, Unichem, Dishman, Alembic, Indoco remedies, Suven Life Sciences & Granules India Oil & Gas companies - Gujarat Gas, GSPL, IGL & Cairn India Covered Oil & Gas service providers - Welspun Gujarat, Man Industries, Jindal SAW, PSL, Maharashtra Seamless & Shiv-vani Oil Others - Tata Chemicals, Himadri Chemicals & Solar Explosives

Written cover story, conducted many interviews of industry leaders, written various articles, research reports on companies from various industries