Arnesh Kumar Issar Email & Phone Number
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Arnesh Kumar Issar is listed as Technical Project Manager - II at Mercor, a with 815 employees, based in Kharagpur, West Bengal, India. AeroLeads shows a matched LinkedIn profile for Arnesh Kumar Issar.
Arnesh Kumar Issar previously worked as Business Analyst at Arthur D. Little and Mentor at Topmate.Io. Arnesh Kumar Issar holds Integrated Masters In Financial Engineering, Finance, General from Indian Institute Of Technology, Kharagpur.
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About Arnesh Kumar Issar
Results-driven Business Analyst with a proven track record in driving digital innovation and startup collaboration. Experience as an Analyst at a leading Indian Pharmaceutical (Dr Reddy’s Labs), evaluating healthcare startups for collaborations and acquisitions. As the Chief Technology Officer of a self-founded startup, generated $30K+ annual revenue through impactful product delivery for early-stage startups. Ready to apply strategic thinking and entrepreneurial drive to fuel product success in a dynamic environment.
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Arnesh Kumar Issar work experience
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Business Analyst
Key Engagements:1. Buy-side due diligence on a premium ride-hailing company for a GCC sovereign fund2. Operational planning for the introduction of aerial taxis for a leading ministry in the Middle East3. CR&M transformation and digitization for a leading financial hub in UAE4. Operational support for a GCC ministry flagship mobility event
Mentor
Founder'S Office
• Spearheaded Click-to-WhatsApp Ads (CTWA) product collaboration with Meta and Google, securing product-market fit for 20+ brands.• Achieved 50% higher ROAS than traditional campaigns by reducing agent calling via automated lead tagging and retargeting.• Reduced campaign setup time by 40% through Chat-GPT integration for query-based user segmentation and chat flow building.
Co-Founder
An Early-Stage startup providing Data Science and Machine Learning solutions in collaboration with college students• Oversaw deployment of solutions for 15+ early-stage startups, providing a solid business case while maintaining the value proposition• Increased revenue by 12% YoY by identifying average project time as a critical metric and reducing it by 40% through agile management• Collaborated with cross-functional teams of engineers and designers while maintaining a Net Promoter Score of 50 as a project manager• Established the technical writing division, which contributed 30% to the company's international revenue of 20000$+ in the FY 2021-22
Product Development
• Identified product entry opportunity in a $755M market and collaborated with the pharmaceutical division to develop a proof-of-concept• Built a visual patient monitoring system with Object Detection and Activity Classification using Python, TensorFlow and HuggingFace• Designed a system for detecting patient fall which achieved 93% accuracy on the Le2i dataset using AlphaPose, GCN and Tiny-YOLO• Integrated the software into a proof-of-concept device which was later pitched as a potential market entry product to the business unit
Business Analytics
• Developed pipeline for automatically evaluating machine learning model performance, saving the team 5 hours/week on due diligence• Drafted internal marketing content based on customer feedback, which helped the team to secure a budget from the Board of Directors• Received pre-placement offer to work as a business analyst and AI consultant directly under the Vice President, External Innovations
Team Lead
• Managed eight project teams, increasing their research output by 4x through agile management with six tier-1 publications in 2021-22• Performed the due diligence for potential brand collaborations, bringing in clients like Xiaomi, DRDO and Indianapolis Motor Speedway• Managed Rs.2,00,000+ in project budgets, using foresight and resource optimization to deliver 87% projects under the stipulated budget
Software Team Member
• Worked in the motion-planning, perception, and localization modules for autonomous mobile robots Eklavya 7.0 which was aimed towards autonomously navigating in constrained environments while avoiding obstacles and following pre-established GPS way-points.• Lead team of undergraduates for implementation of planning strategies for efficient path tracking of Ackerman steering based vehicles using both Dubin’s path heuristic-based Hybrid-A* and Sampling-based Frenet-Optimal Trajectory planner, optimizing them through parallel-processing by 50%.• Currently working on Reinforcement Learning based planner implementation on Carla Urban Simulator.
Summer Research Fellow
Advisors - Prof. Richard Martin & Prof. Richard Howard• Studied the effects of electromagnetic fields on day-to-day activities of honeybees as part of a 5G deployment project• Developed a deep learning video system for 24x7 tracking of bees inside beehives, achieving 0.95 precision on a modified U-Net model• Reduced the video feed noise by 42% (RMS) by developing an OpenCV pipeline with Non-Local Means Denoising and Gaussian Blurring
Research Fellow
The work consisted of setting up a simulation stack for the ARTPARK Robotics Challenge 2021. The challenge requires a robot to demonstrate janitorial tasks that would be typically performed in a washroom.
Research Fellow
• Optimized a simulation software for understanding the effects of various factors on the spread of contagious diseases• Reduced computation time by 44% through CPU-based parallel processing in Python to optimize the use of the available computation• Documented the entire codebase along with the dataflow, reducing the debugging time by 3 hours per week for the development team• Formulated an intervention policy predictor which optimizes the number of affected cases and the loss to the economy during lockdowns
Planning Team Lead
• Implemented a graph-based planner as part of the Motion Planning Team, adding complex race maneuvers like blocking & overtaking at turns.• Developed the algorithm for deriving the optimal racing line for the controller by modelling system dynamics like tire forces and friction• Reduced the lap time by 7% through an optimized cost function and implemented the use of drafting to improve overtaking maneuvres
Sde Intern
• Developed a Minimum Viable Product (MVP) for rural healthcare centres to improve medical services• Designed the database schema in SQL for storing patient medical history and developed the pipeline for symptom-disease classification• Constructed the training dataset for the disease classification machine learning models by scraping websites using Selenium and Pandas• Developed the API for disease classification in AWS, achieving an accuracy of 92% using Random Forest and Naive Bayes classifiers
Arnesh Kumar Issar education
Frequently asked questions about Arnesh Kumar Issar
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What company does Arnesh Kumar Issar work for?
Arnesh Kumar Issar works for Mercor.
What is Arnesh Kumar Issar's role at Mercor?
Arnesh Kumar Issar is listed as Technical Project Manager - II at Mercor.
Where is Arnesh Kumar Issar based?
Arnesh Kumar Issar is based in Kharagpur, West Bengal, India while working with Mercor.
What companies has Arnesh Kumar Issar worked for?
Arnesh Kumar Issar has worked for Mercor, Arthur D. Little, Topmate.Io, Limechat, and Chi Squarex.
How can I contact Arnesh Kumar Issar?
You can use AeroLeads to view verified contact signals for Arnesh Kumar Issar at Mercor, including work email, phone, and LinkedIn data when available.
What schools did Arnesh Kumar Issar attend?
Arnesh Kumar Issar holds Integrated Masters In Financial Engineering, Finance, General from Indian Institute Of Technology, Kharagpur.
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