Rajveer Sanghavi profile photo 1 on Tal

Rajveer Sanghavi

| Ex-MCL Employee | Ex-Loginext Employee | ML Developer | Former Treasurer @ IEEE SB MUJ | Former Convenor @ Startup Weekend Jaipur

Mumbai

1+ year of work experience

Kragma Technology (SocialG)
Jan 20256 mosJun 2025

Remote

• Built and optimized scalable data pipelines with Apache Spark (RDDs, DataFrames, SQL) to process large user engagement datasets efficiently. • Designed real-time analytics flows using Spark Structured Streaming and Apache Kafka, improving data freshness and latency. • Developed MLlib and GraphX models for recommendations and clustering, increasing network engagement by 20%. • Deployed Spark clusters on Kubernetes and YARN, integrated MongoDB for monitoring, and used AWS EC2 to scale workloads cost-effectively.
MehBoba (Boba Drink Startup)
Aug 20245 mosDec 2024

Bengaluru, Karnataka, India

Conducted market research and data analysis to identify customer preferences, pricing strategies, and sales trends, leading to a 10% increase in revenue. Developed dashboard reports to track daily sales, inventory levels, and customer demand, optimizing supply chain efficiency. Implemented consumer behavior analysis using Python and Excel, providing insights that improved targeted marketing efforts and increased customer retention. Assisted in pricing strategy development, leveraging competitor analysis and demand forecasting to enhance profitability. Worked closely with the marketing and operations teams to streamline business processes and improve decision-making. Provided data-driven recommendations that optimized product offerings and promotional campaigns, resulting in a higher conversion rate.
Materials Center Leoben Forschung GmbH
Jun 20243 mosAug 2024

Leoben, Styria, Austria

• Conducted parameter studies on fatigue crack growth calculations, resulting in a 15% enhancement in the accuracy of load level discretization and block length assessments. • Developed comprehensive recommendations for preliminary and detailed design accuracy, optimizing load level discretization and minimum/maximum block lengths, which led to a 10% reduction in computational cycles required for detailed assessments. • Implemented advanced algorithms including Graph Neural Networks (GNN), Neural Operators, and Physics-Informed Machine Learning, reducing code running time by 30% and significantly improving algorithmic efficiency.
LogiNext
May 20233 mosJul 2023

Mumbai, Maharashtra, India

• Developed data-driven intelligence in logistics services by implementing advanced algorithms for map construction analysis. • Conducted exploratory data analysis, resulting in a 15% increase in operational efficiency and cost savings in computa-tional power operations. • Analyzed and implemented algorithms for map construction, leading to a 25% improvement in the accuracy and speed of location-based services. • Contributed to the development of the Map Evaluation System, improving Node Evaluation accuracy by 30% and enhancing global clustering analysis. • Produced a detailed OSM research report, demonstrating advanced skills in geographic data structures and metadata management; improved user comprehension of OpenStreetMap functionalities, resulting in a 25% increase in internal training efficiency.

Education

Manipal University Jaipur

Bachelor of Technology - BTech, Computer science and engineering

Manipal University Jaipur

20214 yrs2025

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Headline

| Ex-MCL Employee | Ex-Loginext Employee | ML Developer | Former Treasurer @ IEEE SB MUJ | Former Convenor @ Startup Weekend Jaipur

Location

Mumbai

Work experience

Data and Cloud Engineer at Kragma Technology (SocialG), Jan 2025 - Jun 2025 · 6 mos, Remote, • Built and optimized scalable data pipelines with Apache Spark (RDDs, DataFrames, SQL) to process large user engagement datasets efficiently. • Designed real-time analytics flows using Spark Structured Streaming and Apache Kafka, improving data freshness and latency. • Developed MLlib and GraphX models for recommendations and clustering, increasing network engagement by 20%. • Deployed Spark clusters on Kubernetes and YARN, integrated MongoDB for monitoring, and used AWS EC2 to scale workloads cost-effectively.

Business Analytics Intern at MehBoba (Boba Drink Startup), Aug 2024 - Dec 2024 · 5 mos, Bengaluru, Karnataka, India, Conducted market research and data analysis to identify customer preferences, pricing strategies, and sales trends, leading to a 10% increase in revenue. Developed dashboard reports to track daily sales, inventory levels, and customer demand, optimizing supply chain efficiency. Implemented consumer behavior analysis using Python and Excel, providing insights that improved targeted marketing efforts and increased customer retention. Assisted in pricing strategy development, leveraging competitor analysis and demand forecasting to enhance profitability. Worked closely with the marketing and operations teams to streamline business processes and improve decision-making. Provided data-driven recommendations that optimized product offerings and promotional campaigns, resulting in a higher conversion rate.

Software Development Engineer – Machine Learning at Materials Center Leoben Forschung GmbH, Jun 2024 - Aug 2024 · 3 mos, Leoben, Styria, Austria, • Conducted parameter studies on fatigue crack growth calculations, resulting in a 15% enhancement in the accuracy of load level discretization and block length assessments. • Developed comprehensive recommendations for preliminary and detailed design accuracy, optimizing load level discretization and minimum/maximum block lengths, which led to a 10% reduction in computational cycles required for detailed assessments. • Implemented advanced algorithms including Graph Neural Networks (GNN), Neural Operators, and Physics-Informed Machine Learning, reducing code running time by 30% and significantly improving algorithmic efficiency.

Junior Software Engineer – Analytics at LogiNext, May 2023 - Jul 2023 · 3 mos, Mumbai, Maharashtra, India, • Developed data-driven intelligence in logistics services by implementing advanced algorithms for map construction analysis. • Conducted exploratory data analysis, resulting in a 15% increase in operational efficiency and cost savings in computa-tional power operations. • Analyzed and implemented algorithms for map construction, leading to a 25% improvement in the accuracy and speed of location-based services. • Contributed to the development of the Map Evaluation System, improving Node Evaluation accuracy by 30% and enhancing global clustering analysis. • Produced a detailed OSM research report, demonstrating advanced skills in geographic data structures and metadata management; improved user comprehension of OpenStreetMap functionalities, resulting in a 25% increase in internal training efficiency.

Education

Bachelor of Technology - BTech, Computer science and engineering, Manipal University Jaipur