Bharat K Karumuri, Ph.D. Email & Phone Number

Prosper, Tx, Us

• Led the development of scalable algorithms and data models to enhance app gamification, pioneering automated question generation that improved content variety and user experience during the pre-launch phase• Championed cross-functional collaboration with development, UI/UX, and marketing teams to ensure data-driven features align with product goals, boosting user acquisition and retention strategies ahead of Q1 2025 beta launch

New York, New York, Us

• Defined and iterated on a platform of advanced data models, enabling Horizon Media clients to optimize media spend and eCommerce investments through data-driven decision-making• Productized analytical solutions that broadened marketing mix models to incorporate significant non-media factors, introducing innovative data science products to the market• Enhanced customer behavior analysis by integrating online and offline touchpoints using advanced data science techniques, improving targeted marketing strategies• Developed and implemented automation processes for in-house data models, employing advanced data science tools to streamline workflows and reduce time-to-insight by 30%

El Segundo, Ca, Us

• Led and coached a high-performing analytics team, enhancing capabilities through strategic recruitment and mentorship, boosting team productivity and performance metrics significantly• Automated key data processes, enhancing the delivery of actionable insights from social data that informed strategic decision-making across the organization• Collaborated closely with brand, activation, and operational leaders to synchronize data-driven strategies, ensuring alignment and optimization of business results• Devised advanced marketing analytics solutions, including customer segmentation and MMM/MTA techniques, using social data to foster insights and drive innovation in marketing strategies• Pioneered ROI modeling for social engagement analytics, generating crucial insights that influenced strategic business decisions and enhanced campaign effectiveness

Chicago, Il, Us

• Championed a ‘Cloud First’ strategy in data and analytics, catalyzing innovation and organizational efficiency enhancements across the company• Streamlined operations within the office of clinical affairs, slashing process times by 85% and setting new benchmarks for operational efficiency• Led a team in the development of healthcare data proof-of-concept projects, employing advanced analytics to pioneer innovative solutions• Engineered comprehensive data science automation for clinical affairs, boosting productivity by 50% and achieving $250,000 in cost savings• Forged and nurtured cross-functional collaborations, enhancing departmental synergies and operational alignment through targeted web-based data solutions• Supported senior leadership with market impact and valuation assessments, providing key insights that informed strategic decision-making and planning

Established EpiFocus, a medical research software company dedicated to conducting research and developing products aimed at assisting patients afflicted with epilepsy. Successfully secured $20,000 seed funding to support the development of the minimum viable product (MVP). Responsibilities include: • Identify funding opportunities to advance the research. • Maintain and enhance research collaborations.• Business pitch to prospective investors.

Ruston, La, Us

• As a research fellow of the Brain Dynamics lab, I oversaw and managed its operations, ensuring the team was equipped with the necessary guidance and training to conduct successful research. • I provided effective mentorship to graduate and undergraduate students to enable them to thrive and excel in their roles.• Assisted the lab director in writing grants and instructing courses (Signals and Systems).

Ruston, La, Us

• Develop algorithms that could characterize the association between brain (EEG) and heart (ECG) activity in the condition of SUDEP (Sudden Unexpected Death in epilepsy).• Network analysis of the EEG and MEG/MRI towards localization of the epileptogenic focal zone. • Long-term prospective seizure using machine-learning tools.• Entropy and heart rate variability analysis in the time and frequency domains to identify hidden patterns in the data for prediction of global transitions. • Noise reduction techniques (digital filtering, data detrending) • Statistical analysis and data interpretation.• Classification via machine learning tools.• Programming: Assembly language, C, MATLAB, Python, IBM SPSS, R

Ruston, La, Us

Project Title "Metabolic Assay based validation of anti-cancer drugs and inflammatory stimuli on cancer and normal brain cells"• Culture glial sarcoma cells in a sterile environment using sterile wet lab techniques.• Understanding the metabolic activity of the cells through inflammatory responses when treated with anticancer drugs.

Ruston, La, Us

Instructed and guided undergraduate and graduate students in Biomedical engineering courses listed below:Biomedical Control Systems (BIEN-403), Winter-2009Biomedical Senior Design Laboratory (BIEN-450B), Spring 2010System Physiology (BIEN-500), Fall 2011

Indianapolis, In, Us

As part of the Trait Product Development group in discovery pipeline, I was responsible for developing new computer vision based high throughput analysis of plant images to create time-lapse videos and automated estimation of growth features. Developed novel screening methods using machine learning techniques for large image dataset.

Responsibilities included fostering and cultivating a research-oriented culture within the Biomedical Engineering Center by establishing effective communication channels and providing necessary resources to promote collaboration between labs and colleagues.

The E&S is a college of engineering and science magazine at Louisiana Tech University. It is in circulation since 1939.

Ruston, Louisiana, Us

Oversaw all promotional activities for the team, including managing communication with the media and regularly updating the LA NPDT website and social media pages with news and updates.

Hyderabad, Andhra Pradesh, In

Designed a reliable and fast acting support system of computer aided pathological analysis which makes use of "Look Ahead Tracer" (LAT), essentially an advanced Syntactic Pattern Recognition algorithm that is used to count the number of WBCs present in a digital microscope image, taking a step forward in developing an automated pathological analysis system. LAT-based counting of WBCs present in an image had proved to be ideal for developing an automated pathological analysis system.

Underwent training on Basic Clinical Sciences, gained knowledge in general laboratory equipment, performed calibration of CATHETER laboratory under the guidance of the Siemens service engineer. Learned about the working technique and troubleshooting procedures of medical equipment.

Master Of Business Administration - Mba

Doctor Of Philosophy - Phd, Bioengineering And Biomedical Engineering

Master Of Science - Ms, Computer Science

Master Of Science - Ms, Bioengineering And Biomedical Engineering

Master Of Science - Ms, Microsystems Engineering

Bachelor Of Technology - Btech, Bioengineering And Biomedical Engineering