https://www.businesswire.com/news/home/20240418928704/en/Clazar-Raises-10M-Series-A-to-Modernize-SaaS-Sales-Across-Cloud-Marketplaces

Here are a few of the VC topics we researched onVenture Capital Reports- Median Startup Valuations Are Up to 32% Higher in the Pacific and Northeast Regions- This is how much harder it is to raise capital during a downturn- Silicon Valley Camels, will you please stand up- It feels like the first time… feels like the very first time. 40% of VC funds are first-time funds.- 14 Years To Go Public. What a Long Strange Trip It’s Been.- How Often Do VCs Collaborate With Each Other? The Data Tells The Tale.- VCs, are you receiving as much ownership as before? – A 10-Year Data-driven Analysis- The VC Framework For Optimizing Success: The Kauffman Fellows Four PillarsGender Diversity Reports- Data Show that Gender-Inclusive Founding Teams Have Greater Success in Fundraising and Innovation- Startups With At Least 1 Female Founder Hire 2.5x More Women.- Women VCs Invest in Up to 2x More Female FoundersEthnic Diversity Reports- Deconstructing the Pipeline Myth and the Case for More Diverse Fund ManagersEducation Reports- The successful college dropout is rare. The majority of startup executives have advanced degrees.- Advanced Degrees Correlate with More Funding and Better Returns for Startups

Watson for Real World Evidence:•    Analytic lead and project manager on real world evidence (RWE) analytic projects for a large pharmaceutical client, including managing clients and delivery.•    Developed multiple predictive models using Watson RWE datasets to identify important patient characteristics which are indicative of success or failure of a given treatment.•    Developed predictive models using Watson RWE datasets to identify important patient characteristics which are indicative of patient’s drug adherence.•    Developed analytics plan and executed studies intended for peer-reviewed studies using Watson RWE datasets for large pharmaceutical clients•    Conducted multiple descriptive analytic Real World Evidence studies, including developing multiple customized drug and disease monitoring dashboards for large life-science clients.•    Designed and developed multiple Watson Health solutions using Cloud Services (Bluemix), Watson Real World Evidence and Watson for Drug DiscoveryHealth/Healthcare Products and Social Media•    Performed social media analytics to understand customer sentiments around multiple health or healthcare related products.•    Designed and developed IBM cloud based platform for extracting, annotating, storing and analyzing millions of social media data points from multiple social media platforms including twitter, messaging boards, news etc.•    Analyzed and derived insights from multiple social media datasets/streams for a prominent healthcare client with multiple major healthcare brands/products.•    Identified and reported insight and actionable items to key stakeholders based on the insights derived from the platform.Health & Fitness•       Worked on insight development models for a large health and fitness clientOthers:•    Demoed and created training modules for Watson RWE analysis, including presenting at multiple large conferences including HIMSS and DIA

- Initiated and developed metrics to study data decay- Initiated the development of statistical metrics to study data-quality of physician data- Created metrics and reports for client exports. - Recruitment

• Developed and implemented an automated computational framework to identify disease-related genes and biomarkers in complex diseases from genomic data such as microarray and RNA-Seq data• Employed mathematical constructs like Wasserstein metrics, game-theory based probabilistic models, Markov chain process, and machine learning algorithms to capture emergent biological network properties. The framework was implemented in python, R and C• Identified biomarkers signatures to differentiate various human pathological conditions (Breast cancer, sepsis, SIRS and septic shock) based on significantly rewired modules of the disease network

- Investigated and built metabolic and signaling pathway models using JSim and Teranode.- Designed and developed solver modules for the proprietary system biology simulator software.- Designed and developed UI for viewing, model building and interpreting results for the proprietary software. - Automated documentation for model developers. - Deployed proprietary software at client-end. - Trained new employees on the proprietary technology

Completed training in fundamentals of Information Technology, C, C#, and .NET platform.