Unmesh Gupta Email & Phone Number

The Randstad, Netherlands

• Led projects to track and analyze customer actions using BigQuery & Python, improving customer journey insights and identifying key drop-off points. Ran and concluded numerous A/B tests as part of an iterative process to learn, refine, and implement solutions, driving continuous improvements in user experience and conversion.• Implemented automated alert systems to flag critical issues impacting user sessions and conversions.• Spearheaded analysis on business & health metrics following the customer journey during their checkout, resulting in improvements in payment and delivery experience, mitigating issues caused by delivery delays and inter-dependent services

Berlin, Germany

• Analysed large data sets, set-up and maintain mathematical models that enable long term planning of Zalando's logistics network capacities, including gap analysis & market expansion strategy• Built a simulation tool in Python to better understand the impact of changes in network design on Next Day Delivery performance• Communicated insights by integrating multiple scenarios/sensitivities modelling to inform capacity plans and results to senior leadership, driving tactical and strategic business decisions

Aachen, North Rhine-Westphalia, Germany

Topic: Predicting availabilities of conventional power plants using a spatio-temporalmachine-learning approach• Researched and acquired multiple data sources including spatio-temporal factors forestablishing it's relationship to the security of electricity supply• Developed machine learning method to model, forecast and analyze availability of conventional power capacities in Germany• Compared performance of different deep neural network architectures (LSTM, stacked LSTM, CNN, CNN-LSTM) for both univariate and multivariate forecasting

Berlin, Germany

Team - Intelligent Cloud Control Machine Learning (ICC-ML)• Analysed the pattern of alarms to spot anomalies in the service health of Amazon retail website • Explored existing datasets and conducted sensitivity analysis for the purpose of driving insights on the current state of alarming in Amazon • Developed an unsupervised ML approach to reduce the false engagements while maintaining recall to constrict the blast radius of service impact• Clustered the metrics in sub-groups and evaluated metric characterization on other metrics having unlabelled data• Reusable implementation and documentation of the data scientific approach of project progress with relevant stakeholders

Luxembourg

Team - EU Systems Optimisation and Control (EUSOC) • Implemented network cost monitoring tool in Python using machine learning to evaluate impact of different factors (speed, capacity and costs) on cost per shipment in EU Outbound • Identification of cost avoidance opportunities (>3MM EUR Annualised), uncovered the sensitivity of network cost changes at lowest granularity, by recommending algorithm changes with the monitoring tool• Derived logic for better utilization of network which allows different carriers to attain minimum volume per day and automated new configuration setting in SQL using ETL Manager and Amazon Redshift• Responsible for conducting system Audits to manage and maintain sanity in the network

Noida Area, India

Responsibilities:• Worked with faculty, product and marketing team to articulate objectives that personalize with user empathy• Executed database queries (SQL) for extraction of app usage data for developing project-specific decision support • Identified and implemented product opportunities with the new market utilizing descriptive analytics in MS Excel; drove conversion rate 6% higher• Translated customer data insights into business recommendations using Tableau dashboard with relevant stakeholders, drove conversion rate 6% higher from free to paid app users • Reduced system level failures by 35% by developing handling methodology & initiating peer review process

Bilaspur Area, India

Responsibilities: • Worked with engineering team to determine process data requirement & priorities to define the key performance indicators related to wastewater treatment processes • Organized data from field technicians, plant operators, tender documents (clients) & laboratories into an ‘Excel toolkit architecture’ that creates relevance leading to decision-making improvement • Wrote and executed structured database queries (primarily SQL) for extraction of field-collected data for reporting key metrics • Identified and addressed data quality issues by using data validation tools (load and regression testing) to monitor and alert data irregularities, resulting in more accurate KPIs • Assisted in the development of ‘Excel toolkit architecture’ which enabled benchmarking of wastewater treatment plants with varying capacity, technology, sampling frequency, driving best-practices

Chennai Area, India

End-Semester Project of 6 months duration in Product Reliability- Warranty Analysis of Daimler India Commercial Vehicles, IndiaSelected in a group of final 4 from a batch of 220+ of Mechanical/Automobile engineering final year students for the Daimler AG Internship ProgramWorked on a live project 'The Establishment of a Dealer Management System Warranty Analysis IT Tool'. The project is a part of my undergraduate thesis. Grade Awarded : A • Provided warranty part analysis of returned parts from repair dealers and worked with field quality team to conduct the Failure Mode and Effects Analysis (FMEA)• Inspected failed engine components from the field, performed testing and identified failure modes; conducted root-cause analysis of the failures and updated the warranty database• Produced Pareto charts and summarized reports of part failures, failure rates, failure modes, repair location, fleet owner from company proprietary data analytics software and data mining tool• Assisted senior reliability engineers to investigate emerging issues; compare data from different product lines based on its customer complaints and provided report to the engineering team• Utilized ZEUS (Problem Solving and Corrective Action Documentation Tool) based on 8D methodology in resolution of quality issues through technical solutions, service procedures, re-manufacturing of parts, vendor recovery and apply corrective actions• Reviewed warranty claims in Oracle data mart and performed statistical analysis of warranty data using Oracle BIEE

Bokaro Area, India

Industrial training at the coal-fired power plant for 2 months

Master Of Business Administration - Mba, Energy Management

Courses opted: Technology: Energy physics and energy technologies, Electrical engineering, Renewables Economy: Microeconomics, Marginal.

Bachelor Of Engineering - Be, Automobile Engineering

Activities and Societies: SAE (Manipal Chapter), IEEE- MechanicalRelevant courses: 2 years of Engineering Mathematics.

Aissce, Science

Science: Physics, Chemistry and Mathematics

Aisse (Cbse)