Vinod Kumar Reddy

AI Researcher

Bengaluru, Karnataka, India16 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

14 years of experience in data science and AI.
Proven track record with three granted patents.
Led initiatives that saved millions in operational costs.

Stackforce AI infers this person is a Data Science and AI expert with a focus on Aerospace and Finance sectors.

Contact

vinodreddy.ind@gmail.com LinkedIn

Skills

Core Skills

Data ScienceArtificial Intelligence (ai)

Other Skills

Analytical SkillsAnalyticsBusiness StrategyCoachingCoaching & MentoringCommunicationComputer VisionConsultingConvolutional Neural Networks (CNN)Cross-functional Team LeadershipData AnalysisData MiningData PrivacyData VisualizationDeep Learning

About

With over 14 years of experience in data science and AI, I am a visionary Data Science Lead passionate about driving scalable machine learning solutions, building high-impact teams, and aligning AI strategies with real business outcomes. My core expertise spans Machine Learning, NLP, Computer Vision, and Generative AI, backed by a proven track record of innovation—reflected in three granted patents. At Boeing India Pvt. Ltd., I lead cross-functional, agile initiatives that translate AI research into real-time production systems. A notable example is the Next-Gen Response System, which cut response time by 80% and delivered significant cost savings. I’ve driven successful AI deployments across domains, including automated Foreign Object Debris Detection using Computer Vision and Aircraft Maintenance Manual Conversion using Generative AI, directly impacting operational efficiency and safety. As a mentor and advocate for inclusive, learning-driven teams, I’m committed to fostering diversity and upskilling future AI leaders. I believe that impactful AI comes from a blend of innovation, empathy, and execution—transforming business goals into intelligent solutions.

Experience

16 yrs 1 mo

Total Experience

2 yrs 8 mos

Average Tenure

7 yrs 4 mos

Current Experience

Boeing

Data Scientist Lead

Feb 2019 – Present · 7 yrs 4 mos · Greater Bengaluru Area · Hybrid

Leading three global data science initiatives with 20 members, from ideation to implementation within an agile framework.
1. Defined data science roadmap while collaborating cross-functionally with product, business, and engineering teams to manage multiple projects and ensure timely delivery aligned with strategic business goals
2. Build a diverse and high-performing team from scratch across roles: data scientists, ML engineers, data analysts, etc
3. Spearheaded the development of a computer vision-driven FOD detection app, achieving an 80% reduction and saving $1.6M.
4. Developed AI Supervisor for Aircraft Turnaround Optimization, saving $3.6M through innovative machine learning solutions.

Generative AICoaching & MentoringData ScienceCross-functional Team LeadershipTechnical LeadershipBusiness Strategy+6

Tata consultancy services

Assistant Manager

Jun 2015 – Jan 2019 · 3 yrs 7 mos · Bengaluru, Karnataka, India · On-site

Led a team of 6 data scientists to solve complex business problems across multiple domains.
1. Performed Market basket Analysis using Apriori algorithm to identify supplementary products and increase cross selling
2. Designed a personalized recommender system to upsell service contracts based on opportunity won or loss score using collaborative filtering in PySpark
3. Developed a Machine learning model to predict the risk of developing chronic diseases, such as diabetes, cardiovascular disease, or cancer, based on various patient attributes and health indicators

ForecastingData VisualizationArtificial Intelligence (AI)LeadershipData Science

Serve for india

Social Worker

Jun 2013 – May 2015 · 1 yr 11 mos · Andhra Pradesh, India

Adopted two government elementary schools and analyzed the root causes for high absent rate, low performance in reading and writing
Conducted parent, teacher and children meetings and improved infrastructure which has increased the overall academic performance by ~60% and attendance by 30%

Microsoft WordData VisualizationMicrosoft PowerPoint

Tcs

Sr. Business Analyst

Jun 2012 – May 2013 · 11 mos · Greater Bengaluru Area

Established an approach for forecasting intermittent demand of automobile parts using K-Means clustering and ARIMA models
Developed a predictive model to find the risky invoices with 98% accuracy by using random forest from Python Scikit-learn

Data MiningData ScienceMicrosoft WordForecastingData VisualizationAnalytics+8