A G N S R MURTHY
Hyderabad
Summary
Professional with 6 years of experience, including 2 years at Tata Boeing Aerospace Limited specializing in production planning and control. Expertise in MRP execution and inventory optimization, resulting in enhanced operational efficiency. Proficient in data analytics and visualization using Python and Tableau, delivering actionable insights. Committed to fostering team collaboration and achieving operational excellence through effective leadership.
Overview
7
7
years of professional experience
Work History
Officer – Production Planning & Control
Tata Boeing Aerospace Limited (Contract)
09.2023 - Current
- Optimized production workflows, increasing scheduling efficiency for Boeing 737, 777, and 777X programs.
- Led a team of five in executing MRP runs, kitting procedures, and expediting approvals for seamless assembly.
- Resolved COGI errors and implemented P-TAB conversions to eliminate bottlenecks and accelerate production timelines.
- Developed automated tracking systems for BCA, SAS-VSB, and F-15 programs, enhancing data transparency and reporting.
- Implemented inventory control strategies to manage 2-BIN system issues and minimize resource wastage.
- Supervised daily activities of subordinate staff to ensure operational consistency.
- Guided team members in completing tasks effectively within established timelines.
AI/ML Developer & QA Analyst
Biocube Technologies
01.2022 - 05.2023
- Engineered high-accuracy AI models for face, fingerprint, and speech recognition to enhance security solutions.
- Automated quality assurance processes using Python and Selenium, reducing testing cycles significantly.
- Developed scalable deep learning models, integrating AI solutions into existing infrastructure seamlessly.
- Conducted thorough data analysis, creating visualizations to present findings effectively.
- Applied feature selection algorithms to optimize predictions of potential outcomes.
- Utilized statistical software for processing and analyzing large datasets.
- Recommended data analysis tools that addressed critical business challenges.
- Prioritized tasks efficiently to meet service goals while ensuring high-quality deliverables.
Platform Experience Associate
Accenture
10.2018 - 11.2021
- Enhanced brand integrity by proactively identifying inconsistencies in social media content.
- Led training programs for new associates, elevating performance and operational efficiency.
- Analyzed engagement trends, informing strategic decision-making with data-driven insights.
Education
Data Science Certification -
Innomatics Research Labs
Hyderabad01.2022
B.Tech - Mechanical Engineering
Jawaharlal Nehru Technological University
Hyderabad01.2018
Skills
- Production planning and control: MRP execution, inventory optimization, scheduling, resource allocation
- SAP S/4 HANA and SAP Fiori: Data processing, workflow automation, real-time analytics
- Inventory management and demand forecasting: 2-bin system handling, cost optimization, and stock tracking
- Data analytics and visualization: Python (Pandas, NumPy), SQL, Excel, Tableau, Matplotlib
- Machine learning and AI: predictive modeling, deep learning, NLP, and automation solutions
Languages
English, Hindi, Telugu
Hobbies and Interests
DJ Mixing & Sound Design | Tech Exploration
Projects (Real-time production analytics dashboard)
Objective: developed a dynamic live tracking system to monitor production efficiency across aerospace manufacturing
Approach: integrate SAP S/4 HANA with data visualization tools (Tableau, Python, Excel) to track KPIs in real time
Impact: improved production transparency, reduced manual reporting errors, and optimized inventory flow, cutting downtime by 15%
Market Analysis with Web Scraping & EDA
Objective: Analyzed mobile pricing trends to extract valuable market insights
Approach: Utilized Python, Beautiful Soup, and Pandas to scrape real-time data and conduct exploratory analysis
Impact: enabled competitive pricing decisions, automating data collection for seamless market trend forecasting
ML Model for Concrete Strength Optimization
Objective: Developed a predictive model to enhance construction material durability.
Approach: Implemented supervised learning algorithms (RF, XGBoost, SVM) with hyperparameter tuning to optimize concrete strength predictions
Impact: improved predictive accuracy by 12%, helping engineers make data-driven structural decisions
AWJM Process Optimization (Major Project)
Objective: identified optimal process parameters for precision machining using abrasive water jet machining
Approach: Analyzed the effects of hydraulic pressure, traverse speed, and material properties
Impact: enhanced cutting precision, reduced material wastage, and improved operational efficiency by 10%
Timeline
Officer – Production Planning & Control
Tata Boeing Aerospace Limited (Contract)
09.2023 - Current
AI/ML Developer & QA Analyst
Biocube Technologies
01.2022 - 05.2023
Platform Experience Associate
Accenture
10.2018 - 11.2021
Data Science Certification -
Innomatics Research Labs
B.Tech - Mechanical Engineering
Jawaharlal Nehru Technological University
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