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.
• 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.

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.
• 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.

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)