Sanjay Yanadi Email & Phone Number

London, Gb

United Kingdom

# BC Investments (Automation Project)Led Financial and Legal Process Automation of fund operations, execution processes, and compliance procedures using Python, Azure Cloud Functions, Logic apps, Maacros so on.Streamlined workflows, reducing manual tasks to minutes and boosting operational performance.Delivered innovative solutions recognized for simplifying complex processes#Hive Learning (Data Analytics and Visualization)Conducted data analysis, testing, cleaning, and normalization on Hive Learning platform data.Built ETL pipelines for automated data processing and integration.Developed interactive dashboards with Power BI and AWS QuickSight for user-friendly insights.#Oak Brook Finance (Generative AI Project)Generative AI Implementation: Developed and Enhanced a Generative AI process for Oak Brook Finance, automating complaint Clustering, classification and flagging, improving accuracy by 30% using fuzzy matching techniques with Levenshtein Distance and Cosine Similarity, which reducing response time by 75%.#Koodoo Bank (Recommendation Model)NLP-Driven Solutions: Created an NLP-based chatbot for Koodoo Mortgage, improving mortgage recommendation with respect to multiple mortgages and Also optimized recommendation processes using Transformer-based LLM models which accuracy led to 90%, Enhanced customer service with real-time bank recommendations.

Bangalore Urban, Karnataka, India

#LiDAR Technology Application: Utilized advanced LiDAR technology for precise point cloud classification, enhancing geospatial analysis accuracy by 25%. Incorporate various Coordinate Reference Systems (CRS) to ensure data alignment.#3D Data Transformation: Processed and transformed 3D LiDAR data into vector formats using MicroStation V8i and GeoServer, resulting in a 30% increase in the accuracy of Land Use and Land Cover (LULC) mapping.#Workflow Automation: Developed complex automation macros, reducing data processing time by 40% and improving spatial data accuracy by 20%.#Geospatial Mapping: Applied advanced raster and vector analysis techniques to generate high-resolution spatial maps, suppor

Bengaluru, Karnataka, India

As a GeoSpatial Production Engineer on the AT&T Project at Sun Technologies, I played a pivotal role in the telecommunications domain, contributing to the design and analysis of critical telecommunication workflows.#Design Interpretation & Data Integration: Interpreted design drawings and client requirements, aligning them with the EWO database, leading to a 15% improvement in project alignment.#Telecommunications Infrastructure Design: Designed vector data for telecommunications infrastructure, ensuring accuracy with tools like EWO, TRAKS, and Data Warehouse, which enhanced project delivery by 20%.#Validation Processes: Worked with detailed maps (DI, DE, BR, UG, MDF) and conducted rigorous validation processes, improving infrastructure design accuracy by 25%.#Azure Cloud Functions for Geospatial Data: Leveraged Azure Cloud Functions to automate geospatial data processing workflows, which resulted in a 35% reduction in manual tasks and a 20% improvement in data processing efficiency.

Bangalore Urban, Karnataka, India

Reverse engineering of boeing 737 Applied reverse engineering principles to conceptualize and design a customized Boeing 737, addressing customer specifications for Mach speed, altitude, passenger capacity, and use cases in both defense and daily operations. Leverage expertise in aircraft design, aerodynamics, and materials to ensure optimal performance and efficiency.Conceptual Engineering Design:Defined the aircraft's weight dynamics by integrating factors such as flight weight, passenger load, altitude, and speed.Formulated precise weight distributions to guide material selection for the head, body, elevators, ailerons, flaps, tail, and rudder.Utilized conceptual engineering principles to lay the foundation for the overall structural design of the aircraft.Secondary Engineering Design:Implemented advanced aerodynamic principles to enhance the aircraft's speed, resilience, and overall efficiency.Focused on meticulous design of internal components, including elevators, ailerons, rudder, flaps, and tail, emphasizing the critical role of minute details in achieving optimal performance.Applied reverse engineering techniques to dissect and analyze existing Boeing 737 components, identifying opportunities for improvement and innovation.Outcomes:Successfully reverse engineered the Boeing 737, meeting or exceeding customer specifications for Mach speed, altitude, and passenger capacity.Developed a robust conceptual engineering framework, ensuring the accurate determination of weight distribution and material selection.Applied aerodynamic principles in the secondary design phase, resulting in an aircraft with superior speed and resilience.Collaborated with cross-functional teams to integrate feedback and implement improvements in the design process.Demonstrated a keen attention to detail in the secondary design, minimizing the risk of errors that could impact overall efficiency.

Master'S Degree, Computer Science (Machine Learning And Artificial Intelligence)

Bachelor Of Engineering - Be, Mechanical Engineering, 7.01Cgpa

Activities and Societies: volunteer

Puc, Computer Science

Bachelor Of Engineering - Be, Mechanical Engineering

Activities and Societies: volunteer