HIMANSHU KUMAR

+1-979-***-**** adbzkt@r.postjobfree.com

www.linkedin.com/in/himanshu-kumar1108 github.com/himanshu944 EDUCATION

Texas A&M University, College Station, Texas Aug 2019 - Present Master of Science in Industrial Engineering, CGPA – 3.7/4.0

Course Work: Engineering Data Analysis, Integer Programming, Design of Industrial Experiments, Quantitative Models for Supply Chain Coordination, Linear Programming, Theory of Statistics

Working as a Graduate Student Assistant in the Mathematics Department for MATH 311 course.

Visvesvaraya National Institute of Technology, Nagpur, India Jul 2013 - May 2017 Bachelor of Technology in Mechanical Engineering, CGPA – 3.8/4.0 SKILLS & CERTIFICATIONS

Certified as Salesforce Certified Administrator (ADM 201) and Vlocity CRM Platform Essential Developer.

Data Science: Inference, Regression, Clustering, Random Forests, Data Mining, Supervised/Unsupervised Learning

Programming Languages/Tools: Python, R, SQL, Tableau, Power BI, AMPL, CPLEX, Salesforce, Agile Methodologies. WORK EXPERIENCE

Deloitte, Hyderabad, India Aug 2017 - Jul 2019

Business Technology Analyst

Health Insurance App - Salesforce Analytics Jan 2018 - Jul 2019

Converted, cleaned, analyzed, and documented large data files (10k – 2M records). Implemented advanced ETL processes to load and integrate large Health Insurance datasets for one of the largest Health Insurance providers in the USA.

Calculated and analyzed claims data for provider incentive and supplemental benefit analysis using advanced mapping and presentation techniques.

Implemented sales processes, workflow rules, technology resolutions, and structures through agile methodology, leading to continuous test process improvement with the help of metrics using JIRA integration tool on Salesforce CRM platform. Driver Recruitment Application – Salesforce Cloud Aug 2017 - Dec 2017

Performed detailed assessments of risks to determine constraints and develop mitigation strategies; carried out regression testing after code change.

Implemented the transitioning of the job application from the legacy system to the digital platform by optimizing the large- scale recruitment data leading to a decrease in driver application time by 40%.

Developed test cases and prioritized testing activities, executed all test cases and reported defects with defined severity and priority for each defect.

Sterlite Technologies, Dadra, India May 2016 - Jul 2016 Supply Chain Intern

Collaborated in a professional team to solve LAN wire air wiping issues using component Data Modeling, leading to a 50% decrease in the wetness component.

Maximized productivity by analyzing and identifying areas for improvement in the manufacturing plant compressor by carrying out regression analysis on historical data leading to $3k in energy savings.

Performed safety risk analysis and achieved 12 minutes assembly line time reduction by automating Bobbin Lift system. PROJECTS & THESIS

Forecasting using Machine Learning Methods: Bottled Water Prediction

Devised a forecasting algorithm using support vector machine and linear regression to predict the demand for bottled water during an MLB game, based on historical climate data of the stadium. TAMU Datathon - Tacos & Burritos

Worked on features involving Tacos and Burritos selling data across restaurants throughout USA, resulting in an increase of 25% in the profits. Developed model to find the right time, place and price involved in launching a new restaurant. Prediction Model - Image Classification

Trained a neural network to correctly classify images in an unsupervised setting with a test error rate of 0.5%, including deploying, identifying and modifying techniques for advancing the performance of deep learning algorithms. Capacitated Plant Location Problem – Warehouse Relocation

Formulated an integer programming model to predict the number of warehouses required to serve 12 different locations with varied demand, based on fluctuating transportation and service costs. Waste Heat Recovery - Solar Energy Experimental Analysis

Submitted a Thesis on Analysis of Solar - Vapor Absorption Cycle which examined the viability of using solar energy in place of a waste heat recovery unit, including marketing analysis of the refrigeration cycle resulting in 10% energy saving.

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