Nikhil Reddy P.
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Nikhil Reddy P. Email & Phone Number

Data Pioneer | AI in R&D and Digital Health @ Boehringer. at Boehringer Ingelheim
Location: Ingelheim Am Rhein, Rhineland-Palatinate, Germany 9 work roles 4 schools
1 work email found @rolls-royce.com LinkedIn matched
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Current company
Role
Data Pioneer | AI in R&D and Digital Health @ Boehringer.
Location
Ingelheim Am Rhein, Rhineland-Palatinate, Germany
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Nikhil Reddy P. is listed as Data Pioneer | AI in R&D and Digital Health @ Boehringer. at Boehringer Ingelheim, a with 45532 employees, based in Ingelheim Am Rhein, Rhineland-Palatinate, Germany. AeroLeads shows a work email signal at rolls-royce.com and a matched LinkedIn profile for Nikhil Reddy P..

Nikhil Reddy P. previously worked as Assignment: Strategy to improve PoS in R&D at Boehringer Ingelheim and Head of Data Science at BI X at Boehringer Ingelheim. Nikhil Reddy P. holds Hmx Fundamentals - Genetics, Physiology, Medicine from Harvard Medical School Corporate Learning.

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Profile bio

About Nikhil Reddy P.

I am the Head of Data Science at BI X, the digital lab of Boehringer Ingelheim, where I co-lead the lab and the data science chapter across Germany and China. With over 15 years of experience in data science and AI, I have a passion for delivering customer-centric solutions that create value and impact for the business and the end-users.My core competencies include product development, data strategy, end-to-end data science and AI engagements, digital transformation, and team building. My current mission at BI X is to enable digital health solutions, drug discovery, and strategic decision-making using data science and AI.

Listed skills include Leadership, Distributed Systems, Amazon Web Services, Linux, and 45 others.

Current workplace

Nikhil Reddy P.'s current company

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Boehringer Ingelheim
Boehringer Ingelheim
Data Pioneer | AI in R&D and Digital Health @ Boehringer.
Ingelheim am Rhein, RP, DE
Employees
45532
AeroLeads page
9 roles

Nikhil Reddy P. work experience

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

Assignment: Strategy To Improve Pos In R&D

Current

Ingelheim Am Rhein, Rhineland-Palatinate, De

Currently on an assignment to the Innovation Unit (R&D). My role involves leading work-stream tasked with identifying opportunities and creating an organizational transition plan to increase the Probability of Success (PoS) up to the Proof of Clinical Principle (PoCP) stage. Our goal is to enhance our success rate by at least 50% by 2035.

Apr 2024 - Present

Head Of Data Science At Bi X

Current

Ingelheim Am Rhein, Rhineland-Palatinate, De

BIX is the digital lab of Boehringer IngelheimLeadership:Co-lead a digital lab, fostering innovation and scientific excellence.Member of the Digital Innovation Unit (DIU) leadership team, responsible for digital transformation of R&D value chain and increasing Probability of Success (PoS) of R&D portfolio.Product Development & Impact:Championed the integration of AI/ML technologies into diverse digital health platforms, improving patient and healthcare professional experiences and outcomes across multiple markets.Lead development of digital product to increase patient engagement for device development.Data Science Expertise:Lead data science efforts across two international locations (Germany and China).Leverage structural variants identified through long-read sequencing (ONT) and predictive modeling to accelerate drug discovery of new therapeutic concepts (NTCs) in collaboration with R&D.Lead cross functional team tasked with insilico antigen discovery for T-cell engager platform using protein large language models.

Apr 2021 - Present

Head Of Data Science & Engineering

Eindhoven, Noord-Brabant, Nl

DAF Trucks is a Dutch truck manufacturing company and a division of PACCAR Inc.Driving High-Value Projects:Led cross-location projects using data science, engineering, and business intelligence to deliver a controller-approved business value (ROI) of 48.75 million. This underscores my ability to drive high-value projects and deliver significant ROI.Establishment and Management of Data Science & Engineering Department:Initiated and established the data science & engineering department for the DAF Trucks division within PACCAR. Managed a diverse, cross-functional team across two locations (Eindhoven and Pune), showcasing my leadership skills and ability to coordinate diverse teams.Strategic Cloud Migration:Devised and executed a strategic cloud migration, transitioning enterprise data from on-premise infrastructure to the PACCAR Digital Platform (AWS & Azure). This highlights my expertise in cloud technologies and strategic planning.

Sep 2019 - Apr 2021

Data Science, Manager

London, England, Gb

Helping build better aero engines using Artificial Intelligence and digital transformation.Award-Winning Innovation:Achieved 1st and 3rd place in the 2018 Engineering Innovation Awards at Rolls-Royce Deutschland, demonstrating my ability to innovate and excel in a competitive environment.Leadership in AI Initiatives:Led a site-wide AI initiative that achieved tens of millions in ROI. I served as a key partner in translating business goals, feature concepts, and customer needs into effective strategies and execution, leading data science engagements across various business verticals.Machine Learning Implementation:Conceptualized, architected, and implemented a machine learning model to accurately monitor the high-pressure turbine of a jet engine. This patent-pending synthetic sensor model for monitoring windmill relight pass of test for engine certification showcases my expertise in machine learning and its practical applications.Predictive Maintenance:Worked on aero-engine predictive and reactive maintenance for Rolls Royce Civil Aviation, demonstrating my ability to apply data science techniques in real-world scenarios.

Oct 2017 - Aug 2019

Sr. Data Scientist/Manager

Meteogroup

Strategic Leadership in Data Science:Managed diverse teams and led strategic initiatives in collaboration with the CTO and Head of Research – Meteorology for Meteogroup’s CSA business. This resulted in tracked business impact, highlighting the strategic potential of data science.Expertise in Machine Learning and Forecasting:Leveraged predictive modeling to contribute to the development of machine learning models for short-term weather and retail demand forecasting. This involved understanding market dynamics and consumer behavior.Innovation in Analytics and System Design:Drove performance and provided insights through the design of analytics and machine learning models. Implemented a streamlined machine learning workflow system on AWS using Apache Airflow and Docker. Also designed an Enterprise data platform using Apache products and AWS S3, demonstrating innovation in handling large volumes of data.

Dec 2015 - Aug 2017

Research Engineer

Stanford, Ca, Us

Web Application Development:Developed a single-page web application for ENCODE-DCC using Pyramid, Elasticsearch, PostgreSQL, Node.js, and React.js. This application enabled high-throughput sequencing production labs to submit data programmatically to the ENCODE data coordination center, highlighting my proficiency in full-stack web development.Deep Learning in Genomics:Involved in the development of deep learning models for identifying functional genomic elements and validating histone marks in ChIP-seq data. This showcases my expertise in applying advanced machine learning techniques in the field of genomics.Genomics Processing Engine:Design Designed a genomics processing engine using Apache Hadoop (mapR), Apache Avro, Apache Spark, and Apache Parquet. This engine, hosted on AWS, enabled scalable machine learning, demonstrating my skills in big data technologies and cloud computing.GPU Acceleration:Accelerated existing sequence read mappers and peak callers to run on a GPU cluster using CUDA, PTX, and C++. This underscores my ability to optimize computational processes and leverage GPU computing.

Mar 2013 - Oct 2015

Sr. Programmer Analyst

New York, Ny, Us

Leveraging CUDA and PTX, I've accelerated computational biology algorithms by porting them to a GPU Cluster, significantly boosting execution efficiency. My technical prowess in Core Java was instrumental in the geWorkbench project, where I innovated new algorithms. Taking initiative, I led the transformation of geWorkbench from a Swing to a web application, employing a suite of technologies including Vaadin, GWT, MySQL, XML, Tomcat, and HTML5. This pivotal shift amplified the application's accessibility and user experience, reflecting my commitment to driving impactful advancements in computational biology.

Aug 2011 - Mar 2013

Programmer Analyst

New York, Ny, Us

As a Web and Release Engineer at the Center for Computational Biology and Bioinformatics, I’ve made significant contributions to the field. I played a crucial role in the DREAM Challenge, where I streamlined the submission pipeline and conducted comprehensive evaluations, ensuring the integrity and success of the challenge.Moreover, I integrated statistical analysis into geWorkbench, enabling sophisticated analysis of gene expression data. This implementation has been instrumental in advancing our understanding of complex biological systems, demonstrating my commitment to driving innovation in computational biology.

Jan 2008 - Aug 2011
Team & coworkers

Colleagues at Boehringer Ingelheim

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4 education records

Nikhil Reddy P. education

Hmx Fundamentals - Genetics, Physiology, Medicine

Harvard Medical School Corporate Learning

Certificate In Disruptive Strategy, Certificate In Organizational Leadership

Harvard Business School Online

Master'S Degree, Computer Science

Northern Illinois University

Bachelor Of Technology (B.Tech.), Computer Science

Mahatma Gandhi Institute Of Technology
FAQ

Frequently asked questions about Nikhil Reddy P.

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

What company does Nikhil Reddy P. work for?

Nikhil Reddy P. works for Boehringer Ingelheim.

What is Nikhil Reddy P.'s role at Boehringer Ingelheim?

Nikhil Reddy P. is listed as Data Pioneer | AI in R&D and Digital Health @ Boehringer. at Boehringer Ingelheim.

What is Nikhil Reddy P.'s email address?

AeroLeads has found 1 work email signal at @rolls-royce.com for Nikhil Reddy P. at Boehringer Ingelheim.

Where is Nikhil Reddy P. based?

Nikhil Reddy P. is based in Ingelheim Am Rhein, Rhineland-Palatinate, Germany while working with Boehringer Ingelheim.

What companies has Nikhil Reddy P. worked for?

Nikhil Reddy P. has worked for Boehringer Ingelheim, Daf Trucks Nv, Paccar Inc, Rolls-Royce, Meteogroup, and Stanford University.

Who are Nikhil Reddy P.'s colleagues at Boehringer Ingelheim?

Nikhil Reddy P.'s colleagues at Boehringer Ingelheim include Peter Stöckel, Ashley Mitchell, Miguel Angel Varela Lopez, Michal Jenis, and Antonio Mazzola.

How can I contact Nikhil Reddy P.?

You can use AeroLeads to view verified contact signals for Nikhil Reddy P. at Boehringer Ingelheim, including work email, phone, and LinkedIn data when available.

What schools did Nikhil Reddy P. attend?

Nikhil Reddy P. holds Hmx Fundamentals - Genetics, Physiology, Medicine from Harvard Medical School Corporate Learning.

What skills is Nikhil Reddy P. known for?

Nikhil Reddy P. is listed with skills including Leadership, Distributed Systems, Amazon Web Services, Linux, Data Science, Algorithms, Github, and C.

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