# Veerabhadra Rao M.

> AI Engineer | Machine Learning Engineer | Data Scientist | 7+ Years Building Intelligent Systems with AI & ML | Generative AI • NLP • Computer Vision • Python | Ex-TCS (Home Depot)

Location: United States, United States
Profile: https://flows.cv/veerabhadra

𝑭𝒓𝒐𝒎 𝒕𝒉𝒆 𝒇𝒂𝒄𝒕𝒐𝒓𝒚 𝒇𝒍𝒐𝒐𝒓 𝒕𝒐 𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆—𝑰 𝒃𝒖𝒊𝒍𝒅 𝒊𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒕 𝒔𝒚𝒔𝒕𝒆𝒎𝒔 𝒕𝒉𝒂𝒕 𝒕𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝒓𝒂𝒘 𝒐𝒑𝒆𝒓𝒂𝒕𝒊𝒐𝒏𝒂𝒍 𝒅𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝒔𝒄𝒂𝒍𝒂𝒃𝒍𝒆 𝒃𝒖𝒔𝒊𝒏𝒆𝒔𝒔 𝒔𝒐𝒍𝒖𝒕𝒊𝒐𝒏𝒔.

With 7+ years of professional experience, my journey began as a Mechanical Engineer at ThyssenKrupp Industries, where leading production teams taught me that every physical system tells a story through data. I then led energy analytics at Ogni Group, translating complex consumption patterns into measurable cost savings and operational efficiencies for diverse clients.

My evolution into AI culminated at Tata Consultancy Services (TCS), supporting The Home Depot, where I collaborated with data scientists to build NLP-driven pipelines for large-scale customer feedback and developed automated analytics dashboards that accelerated executive decision-making. I hold an MS in Artificial Intelligence from Yeshiva University, specializing in Machine Learning, Deep Learning, NLP, and AI. A career highlight includes a computer vision–based attendance platform achieving 99.4% detection accuracy, presented at the IEEE 4th International Conference on Digital Data Processing.

Today, I blend industrial leadership with AI expertise, connecting real-world problems with AI-powered solutions across manufacturing operations, energy analytics, and enterprise technology.

Technical Expertise:

Programming: Python (Pandas, NumPy), SQL, R, DAX, Power Query

Frameworks & Libraries: Scikit-learn, PyTorch, TensorFlow, Keras, NLTK, spaCy, SciPy, LangChain, LangGraph

Machine Learning & AI: Supervised/Unsupervised Learning, Neural Networks (CNN, RNN, LSTM, GRU), Reinforcement Learning, XGBoost, Prompt Engineering, RAG, Multi-Agent Systems, Transformers, Hugging Face

Data Analysis & Visualization: EDA, Hypothesis Testing, A/B Testing, Regression, Statistical Modeling; Power BI, Tableau, Looker Studio, Matplotlib, Seaborn, Plotly

Databases & Vector Stores: PostgreSQL, MySQL, MongoDB, Neo4j, FAISS, SQLite, ChromaDB

Cloud & DevOps: Azure, AWS, GCP, Heroku, Streamlit, MLflow, CI/CD, Docker, Kubernetes, Model Deployment

APIs & Tools: REST APIs, Flask, FastAPI, Postman, BeautifulSoup, Excel (VBA, Pivot Tables), Google Sheets, GitHub.

I bring a unique blend of industrial insight and AI specialization to organizations building the next generation of data-driven products.

Let’s connect to explore how AI can solve your most complex operational challenges.

## Work Experience
### ML Software Engineer @ Techvy Corp
Jan 2025 – Present | New York, USA
Key Contributions:
- Designed and deployed AI/ML solutions in collaboration with technical leadership.
- Built and optimized Python-based ML pipelines and intelligent features.
- Developed internal tools and APIs to support data and engineering teams.
- Debugged and improved model performance, scalability, and reliability.
- Contributed to technical design documents and system architecture specifications.

### Graduate Student Assistant – Mathematics for Business @ Yeshiva University
Jan 2024 – Jan 2024 | New York, USA
Key Contributions:
- Assisted students in mastering core mathematical and statistical concepts.
- Provided one-on-one support and group tutoring, helping students apply quantitative methods to real-world case studies.
- Designed practice problems, clarified concepts, and guided exam preparation, contributing to 100% pass rates in midterm exams and quizzes.
- Strengthened communication skills by translating complex technical concepts into clear, practical explanations.

Achievements:
✅ Helped students achieve 100% success in course assessments.

### Machine Learning Intern @ ZS Analytics
Jan 2024 – Jan 2024 | New York, USA
Key Contributions:
- Designed and deployed an AI-powered Telegram chatbot using Python, OpenAI API, and Aiogram framework to deliver context-aware, real-time assistance.
- Performed exploratory data analysis (EDA), applying descriptive statistics, univariate/bivariate analysis, and visualization techniques.
- Translated insights into data-driven recommendations that improved email campaign strategies and client engagement.

Achievements:
✅ Developed a production-ready chatbot integrating NLP + real-time communication.
✅ Increased email campaign engagement by 49.5% through actionable analytics.
✅ Strengthened expertise in EDA, applied ML, and AI-driven business applications.

### Developer (Client: The Home Depot) @ Tata Consultancy Services
Jan 2022 – Jan 2023 | Hyderabad, Telangana, India
Worked with The Home Depot (US retail giant) to design and deploy AI-powered solutions for customer insights, app review analysis, and operational analytics.

Key Contributions:
- Collaborated with Data Scientists to implement Doc2Vec models with clustering & TF-IDF, driving pattern analysis that enabled The Home Depot to save $200K annually.
- Conducted NLP-driven sentiment analysis on customer app reviews, uncovering insights that supported targeted marketing campaigns and improved customer experience.
- Built an automated test store analysis platform using Python scripting and Jenkins, integrated with Tableau dashboards to accelerate decision-making across US regional teams.
- Partnered with cross-functional stakeholders to ensure models and dashboards aligned with business strategy.

Achievements:
✅ Delivered cost savings of $200K annually through NLP-based insights.
✅ Increased decision-making speed for executives with real-time Tableau dashboards powered by automation pipelines.

### Team Lead @ The Ogni Group
Jan 2020 – Jan 2022 | Hyderabad, Telangana, India
The Ogni Group is a leading provider of energy, environmental, and sustainability services for commercial and industrial clients.

Key Contributions:
- Led a team of Energy Analysts, training and mentoring colleagues, reviewing work quality, and resolving technical challenges in energy conservation analysis.
- Reviewed and analyzed guaranteed energy savings bids, rebate processing, and ROI evaluations, ensuring accurate cost-benefit analysis.
- Coordinated with headquarters and field teams on project progress, optimizing resource allocation and workflow efficiency.
- Spearheaded department process improvement strategies and delivered persuasive presentations to clients and stakeholders.
- Applied data-driven decision-making to evaluate energy efficiency measures, contributing to long-term cost savings for clients.

Achievements:
✅ Delivered energy savings for 50+ Illinois small businesses, reducing consumption by 69,708 kWh and saving $8,645 annually for a 90,000 sq. ft. medical association.
✅ Achieved 15% reduction in energy costs for clients through optimized energy audits and rebate maximization.
✅ Improved bid analysis accuracy by 20%, driving higher ROI and client trust.

### Energy Analyst @ The Ogni Group
Jan 2019 – Jan 2020 | Hyderabad, Telangana, India
Key Contributions:
- Collected, cleaned, and analyzed utility energy datasets to identify consumption patterns in small businesses, schools, and public buildings.
- Conducted lighting and mechanical audits, performing cost-benefit analysis and ROI calculations for energy efficiency upgrades.
- Designed and delivered data visualizations and reports to communicate actionable insights to clients and management.
- Proposed solutions for adopting energy-efficient systems, leading to measurable improvements in sustainability outcomes.

### Data Science Intern @ Innodatatics - GenAI | Data Science | BI | Advanced Up-Skilling
Jan 2021 – Jan 2022 | Hyderabad, Telangana, India
Key Contributions:
- Designed and implemented a face recognition–based authentication system using Deep Learning frameworks and Python libraries (NumPy, Matplotlib, OpenCV, InsightFace, Streamlit).
- Built interactive Tableau dashboards to visualize workforce analytics, enabling management to track attrition trends and optimize HR decision-making.
- Conducted exploratory data analysis (EDA), applying statistical techniques to identify patterns and improve business outcomes.
- Collaborated with senior data scientists to translate business requirements into AI/ML solutions.

Achievements:
✅ Successfully developed a secure, real-time face recognition system, showcasing end-to-end deployment of computer vision models.
✅ Delivered workforce analytics dashboards that improved visibility into employee churn patterns, strengthening data-driven HR strategies.
✅ Gained hands-on experience with model development, visualization, and deployment tools, laying a strong foundation for advanced AI/ML roles.

### Independent Candidate – UPSC Civil Services Examination Preparation @ Unknown
Jan 2016 – Jan 2019 | Hyderabad, Telangana, India
Prepared full-time for India’s most competitive government exam (UPSC Civil Services), qualifying through multiple stages of selection. Developed strong analytical reasoning, structured writing, and problem-solving skills while gaining deep interdisciplinary knowledge in governance, economics, polity, and current affairs.

- Mastered time management and productivity under high-pressure timelines.
- Sharpened comprehension and critical thinking via in-depth study of public policy, ethics, and governance.
- Regularly practiced structured writing, essay composition, and interview articulation.
- Engaged in peer-led group discussions, mock interviews, and content summarization.

### Graduate Engineer Trainee @ thyssenkrupp Industries India
Jan 2013 – Jan 2015 | Hyderabad, Telangana, India
ThyssenKrupp is a global leader in sugar plants and machinery, mining and material handling systems, Cement Plants, and Power Solutions.

Key Contributions:
- Led a 15-member team in the Machine Shop during shifts, ensuring on-time production and adherence to process compliance based on technical drawings.
- Oversaw manufacturing of material handling equipment (e.g., conveyor pulleys, rollers) for industries including food processing and heavy machinery.
- Optimized workload distribution and subassembly operations, achieving production targets consistently with <3% error rate.
- Utilized SAP for procurement (indent processing, BOM retrieval), production tracking (hours booking, GR), quality inspections, and maintenance notifications.
- Collaborated with Planning, Quality, and Production teams to maintain product quality and meet client requirements.
- Enforced OSHA safety compliance, creating a safe and efficient workshop environment.

Achievements:
✅ Reduced machine cutting time by 50% through process improvements.
✅ Surpassed production targets while maintaining high quality standards.
✅ Built strong cross-functional coordination skills, blending technical and managerial responsibilities.


## Education
### Master's degree in Artificial Intelligence
Yeshiva University
Jan 2023 – Jan 2024

### Advanced Certificate Programme in Data Science
International Institute of Information Technology Bangalore
Jan 2022 – Jan 2023

### Bachelor's degree in Mechanical Engineering
Jawaharlal Nehru Technological University Hyderabad (JNTUH)
Jan 2009 – Jan 2013

### Board of Intermediate Education in A.P., Intermediate-MPC
Narayana Junior College - India
Jan 2007 – Jan 2009

### Board of Secondary Education in SSC
Brilliant Grammar High School
Jan 2005 – Jan 2007


## Contact & Social
- LinkedIn: https://linkedin.com/in/m-v-rao

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Source: https://flows.cv/veerabhadra
JSON Resume: https://flows.cv/veerabhadra/resume.json
Last updated: 2026-04-01