Triveni Bhaskar
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Triveni Bhaskar Email & Phone Number

AI and ML Engineer at Pfizer
Location: San Francisco Bay Area, United States 11 work roles 4 schools
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✓ Verified August 2026 3 data sources Profile completeness 86%

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Current company
Role
AI and ML Engineer
Location
San Francisco Bay Area, United States
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Triveni Bhaskar is listed as AI and ML Engineer at Pfizer, a with 100690 employees, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Triveni Bhaskar.

Triveni Bhaskar previously worked as Operations Analyst at Natera and Data Science Intern at Virtual Enterprise System Solutions. Triveni Bhaskar holds Master Of Science - Ms, Business Analytics, 4.0 from Saint Mary'S College Of California.

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Profile bio

About Triveni Bhaskar

• I am a Business Analyst with a Master’s in Business Analytics, specializing in data-driven decision-making to optimize processes and drive results. My journey has equipped me with strong analytical and technical skills for delivering impactful solutions across various domains.• I successfully collected and integrated over 50 datasets from teaching departments across the San Francisco Bay Area, achieving a 95% accuracy improvement through robust data cleaning. By conducting comprehensive analyses on both quantitative and qualitative data, I provided insights that supported data-driven decisions. Collaborating with over 10 academic departments, I developed detailed reports and presentations for more than 50 stakeholders.• In a previous role as a Product Support Analyst, I supervised insights from over 200,000 datasets in hospitality and ERP domains, enhancing performance with a 95% success rate through meticulous Root Cause Analysis (RCA) and integrating global datasets. My investigations into over 570 complex incidents achieved a 98% customer satisfaction rate.• During my data science internship, I developed an AI-driven diagnostic and treatment planning system using generative AI and ChatGPT, refining machine learning algorithms with 99% data integrity while ensuring compliance with HIPAA and GDPR.• In my Power BI and data analytics internship, I identified $12.5 billion in net revenue through Power BI, refining marketing strategies. By analyzing inventory stagnation with DAX calculations, I improved turnover strategies and forecasted unit sales to double by 2026. Utilizing Power BI’s star schema, I efficiently modeled data for accurate regional analysis.• Using the MIMIC-III dataset, I developed an ensemble-based machine learning model that achieved an 82% AUC in sepsis mortality prediction, implementing advanced feature selection to enhance accuracy by 15%.• My technical skills include SQL, Python, and machine learning, with proficiency in databases like Oracle, MySQL, and MongoDB. I excel in data visualization using Tableau, Power BI, and IBM Cognos, alongside familiarity with TensorFlow and PyTorch. I leverage AWS for scalable solutions.• I am committed to delivering data-driven solutions that align with business objectives while maintaining integrity and professionalism. My collaborative approach ensures that my insights are impactful and aligned with organizational goals.• I look forward to connecting with professionals and organizations interested in leveraging data for transformative results. Together, we can reach new heights.

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Pfizer
Pfizer
AI and ML Engineer
California, United States
Website
Employees
100690
AeroLeads page
11 roles

Triveni Bhaskar work experience

A career timeline built from the work history available for this profile.

Ai And Ml Engineer

California, United States

Operations Analyst

California, United States

Data Science Intern

• Spearheaded the development of an AI-driven diagnostic and treatment planning system utilizing advanced generative AI and ChatGPT technologies integrated with a Rec architecture, targeting a reduction in patient treatment times by up to 30% and improving inter-practitioner communication efficiency by 50%, as measured by workflow analysis and user feedback metrics.• Collaborated with a multidisciplinary team of data scientists, software engineers, and dental professionals to refine machine learning algorithms and user interfaces, ensuring the platform supports orthodontists and general dentists in delivering high-quality care, while achieving 99% data integrity and compliance with HIPAA and GDPR regulations.

Power Bi Data Analytics Internship

California, United States

𝐏𝐫𝐨𝐣𝐞𝐜𝐭: 𝐓𝐄𝐑𝐑𝐀𝐐 (𝐆𝐞𝐨𝐠𝐫𝐚𝐩𝐡𝐢𝐜𝐚𝐥 𝐒𝐚𝐥𝐞𝐬 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬)𝙏𝙚𝙘𝙝𝙣𝙤𝙡𝙤𝙜𝙞𝙚𝙨 𝙐𝙨𝙚𝙙: 𝙋𝙤𝙬𝙚𝙧 𝘽𝙄, 𝘿𝘼𝙓, 𝙎𝙩𝙖𝙧 𝙎𝙘𝙝𝙚𝙢𝙖 𝙈𝙤𝙙𝙚𝙡𝙞𝙣𝙜• Identified 12.50 billion in net revenue using Power BI, with Quad achieving a 0.98 profit margin and 31.79% market share in Frankfurt, leading to refined marketing and product strategies for profit maximization.• Analyzed 25% inventory stagnation through DAX calculations, improving turnover strategies, and reducing holding costs, with forecasts showing unit sales doubling by 2026.• Uncovered key performance insights with Ellen Woody selling over 10,000 units, driving targeted training in underperforming regions, resulting in enhanced sales rep performance.• Utilized Power BI's star schema for efficient data modeling, connecting sales, geography, and product tables for accurate regional sales analysis and time-based forecasting.• Applied predictive modeling through Power BI to optimize resource allocation, prioritizing high-growth regions and contributing to a 31.79% market share increase in locations like Frankfurt.

Research Assistant, Machine Learning

Moraga, California, United States

• Utilizing the MIMIC-III dataset comprising over 40,000 ICU patient records to create an ensemble-based machine learning model, achieving an 82% AUC in sepsis mortality prediction. This model is designed to improve early detection, providing actionable insights for clinicians in reducing ICU mortality rates.• Implementing advanced feature selection techniques to identify key predictors such as liver disease, urine output, and cancer history, reducing the feature set by 30% while maintaining model accuracy. Using hyperparameter tuning and ensemble methods, I have enhanced the prediction accuracy by 15% compared to traditional models.

Graduate Student Ambassador

Moraga, California, United States

• Actively representing the MSBA program by sharing personal experiences and insights to help prospective students understand the program’s value and offerings.• Leading outreach initiatives such as webinars, information sessions, and networking events to build connections with future students and promote program engagement.• Offering guidance to MSBA students, with a focus on supporting international students, addressing inquiries about the curriculum, internships, and career opportunities while fostering an inclusive and supportive environment.• Collaborating with faculty and staff to support student-focused initiatives and ensure the program meets the evolving needs of the student body.

Data Analyst

Moraga, California, United States

• Managed and integrated over 50 diverse datasets from teaching departments and colleges across the San Francisco Bay Area, including multi-credential teaching programs, expanding the scope and quality of educational data available for analysis.• Utilized Excel, SQL, and Python to load, clean, and sort datasets, achieving a 95% improvement in data accuracy by implementing robust data cleaning processes that ensured consistency, completeness, and reliability across all datasets.• Conducted comprehensive statistical analyses on both quantitative and qualitative data using advanced methods and tools like R, Excel, and Python to uncover data trends, patterns, and correlations, delivering actionable insights that informed policy and decision-making.• Performed Exploratory Data Analysis (EDA) using Python and Excel on 50+ datasets, creating insightful visualizations, summary statistics, and dashboards to support data-driven decision-making, leading to more informed educational strategies.• Collaborated with 10+ academic departments to understand their specific data needs, providing customized insights and delivering detailed reports, presentations, and visualizations to over 50 stakeholders, ensuring that key findings were effectively communicated and used to drive improvements.• Ensured the accuracy and accessibility of 50+ large datasets through rigorous data management and governance, supporting over 20 grant applications, program evaluations, and academic research projects. These efforts contributed to significant advancements in educational outcomes and the success of multiple research initiatives.

Front Office Student Staff | Office Of Meetings, Events & Conferences Services

Moraga, California, United States

• I orchestrated the creation and resolution of 200-300 work orders per month, ensuring meticulous tracking and flawless execution of both internal and external events. This involved using Excel and database server to manage and monitor progress effectively.• I achieved a 90% resolution rate for escalated technical issues by collaborating closely with the technical team to address and resolve problems efficiently. Additionally, I implemented process improvements that reduced event planning time by 30%, enhancing overall productivity.• Maintaining open channels of communication between teams, I promptly addressed concerns and fostered strong stakeholder relationships, which resulted in a 95% satisfaction rate. • I developed comprehensive event plans, navigated challenges, and ensured seamless execution by leveraging various tools and software, including Excel and Microsoft SQL Server. My innovative approach to tackling challenges generated insightful solutions, and I remained committed to exceeding expectations, upholding high standards, and continuously seeking improvements.

Product Support Analyst

Bengaluru, Karnataka, India

• Supervised and extracted insights from over 200,000 datasets in hospitality and ERP domains, ensuring comprehensive data analysis and utilization.• Achieved a 95% success rate in enhancing dataset performance through meticulous Root Cause Analysis (RCA), significantly improving data accuracy and reliability.• Integrated ERP and hospitality solutions with global datasets, utilizing tools such as Jira, CSP, Xtreme, and PagerDuty for effective communication and coordination among development, QA, DBA, cloud, and customer-facing teams.• Led the installation, configuration, deployment, re-deployment, and troubleshooting of 100+ Product (Liaison, HMS) operations, ensuring efficient and effective on-premise and cloud deployments across various customer systems.• Investigated and resolved 570+ complex, critical incidents with a 98% customer satisfaction rate, demonstrating exceptional problem-solving skills and customer service.• Authored and published 75+ Knowledge Base Articles, providing valuable resources that have been widely referenced by hundreds of analysts and engineers, thus contributing to the overall knowledge and efficiency of the team.• Enhanced product performance in global customer systems by leading 120+ performance enhancement and troubleshooting operations, addressing complex customization requirements and operational issues to ensure optimal system functionality.• Drove significant enhancements in product functionality and elevated customer satisfaction by strategically integrating data insights into over 20+ high-impact ERP and hospitality operations. This involved leveraging comprehensive data analysis to inform decision-making processes, resulting in tangible improvements in operational efficiency and customer experience.

Oct 2021 - Sep 2023

Java Intern

Bengaluru, Karnataka, India

Java Web Programming - Recipe Management ProjectI spearheaded the development of a sophisticated Recipe Publishing System within Eclipse IDE, utilizing Java, JSP, and DB2 database technologies. This tailored solution, designed for chefs and management professionals in a specialty food chain, efficiently managed a substantial volume of data. Demonstrating expertise in Java web programming, I prioritized reliability, scalability, and performance for real-world applications. Advanced features were seamlessly integrated to enhance functionality, facilitating streamlined recipe management and publication processes. Collaboration with stakeholders ensured the system effectively addressed specific industry nuances. Leveraging Java, JSP, and DB2, I delivered a high-quality, industry-specific solution that exceeded client expectations.

Mar 2021 - Sep 2021

Finance Associate Intern

Tarun D. Enterprises

Bengaluru, Karnataka, India

• Successfully completed a 12- month internship program focused on business development, gaining valuable insights into the financial services sector and contributing to an overall 15% increase in client satisfaction scores.• Served as a strategic liaison between 50+ borrowers and financial analysts, facilitating the timely approval and disbursement of sanctioned loans, achieving a 20% reduction in processing time through streamlined communication.• Conducted in-depth analysis and development of lending policies and procedures, contributing to a 30% improvement in operational efficiency and enhanced risk management strategies that mitigated potential defaults by 25%.• Collaborated effectively with field executives, addressing operational challenges and optimizing loan processing workflows, which led to a 15% decrease in loan turnaround times.• Resolved complex loan documentation issues, ensuring compliance with regulatory standards and expediting the mortgage loan processing timeline by an average of 10 days.

Jun 2020 - Jun 2021
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Colleagues at Pfizer

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4 education records

Triveni Bhaskar education

Master Of Science - Ms, Business Analytics, 4.0

• Pursuing a Master of Science (MS) in Business Analytics at Saint Mary's College, with a specialization in data analytics. • Engaged.

Bachelor Of Engineering - Be, Information Science And Engineering, 4.0

Activities and Societies: Open Source Contributions, Technical Presentations and Workshops, Internships• Earned a Bachelor's.

Pre-University Degree : Pcmc (Computer Science), Computer Science

Activities and Societies: Badminton, Throwball player• Completed a two-year pre-university program in Computer Science, Chemistry.

Sslc (Secondary School Leaving Certificate), Mathematics And Computer Science

Mount Carmel High School

Activities and Societies: Badminton, Quiz Competitions• SSLC (Secondary School Leaving Certificate) education not only imparted essential.

FAQ

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Quick answers generated from the profile data available on this page.

What company does Triveni Bhaskar work for?

Triveni Bhaskar works for Pfizer.

What is Triveni Bhaskar's role at Pfizer?

Triveni Bhaskar is listed as AI and ML Engineer at Pfizer.

Where is Triveni Bhaskar based?

Triveni Bhaskar is based in San Francisco Bay Area, United States while working with Pfizer.

What companies has Triveni Bhaskar worked for?

Triveni Bhaskar has worked for Pfizer, Natera, Virtual Enterprise System Solutions, Agile Datapro, and Saint Mary’S College Of California – School Of Economics And Business Administration.

Who are Triveni Bhaskar's colleagues at Pfizer?

Triveni Bhaskar's colleagues at Pfizer include Han Bao, Nicole Duriga, Deep Bajaj, Tina Van Den Meersschaut, and Takunda Moyo.

How can I contact Triveni Bhaskar?

You can use AeroLeads to view verified contact signals for Triveni Bhaskar at Pfizer, including work email, phone, and LinkedIn data when available.

What schools did Triveni Bhaskar attend?

Triveni Bhaskar holds Master Of Science - Ms, Business Analytics, 4.0 from Saint Mary'S College Of California.

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