Kumar Nishant Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Karnataka, India

•Lead a Model Development team that developed 4 Computer Vision models for the Environmental Compliance Management of the NEOM city project in Saudi Arabia. The output of these models is to identify actual and emergent environmental risks associated with the Contractors Upstream / Downstream support facilities / services. Transfer learning using MaskRCNN, EfficientNet-B0, FasterRCNN, FCOS and RetinaNet was utilized for these models.•Lead an HR Analytics project, that includes a recommendation engine for work-stream and resource management. The recommender integrated with a web-based application as a microservice. A chain of models using spaCy and BERT were used for prediction of skills.

Bengaluru, Karnataka

•Designed and developed a Prescriptive model for Battery Abuse. The model employed Multiple Linear Regression algorithm that not only issued alerts for battery abuse but also used inferential analysis to prescribe the optimum driving behavior and charging schedule with respect to the battery. This would potentially increase the battery life by 11%.•Built a model for estimation of battery health using Machine Learning, that would save up to 45,000 SEK (~4,400 USD) per truck by eliminating sensors that measure various parameters. This would also improve the accuracy of health estimates, further reducing range anxiety and increasing acceptance of BEVs among potential and existing customers.•Developed a model for real-time prediction of motor winding temperature for the electric machine (EM) in Battery and Hybrid EVs using ARIMA algorithm. This is used by the driver and the fleet management to monitor the temperature and take corrective action, thus protecting the motor from losing almost half of its life (15-20 years).•Developed and implemented Points of Interest Clustering algorithm for identifying locations for installation of charging stations and other amenities. This would considerably reduce the range anxiety among the drivers as well help in optimization of duty cycles.•Built a Data Analysis Framework, using PySpark on Hadoop clusters, for processing and analyzing High-Resolution CAN signals from Field Test Trucks, that would help identify production related issues and facilitate datadriven product development.

Bengaluru, Karnataka

•Applied Clustering algorithm to AEBS sensors data to detect incorrect interventions and visualized the results using Power BI. A near-perfect intervention system would result in sustainable savings of 1,000 SEK annually per vehicle for the fleet owners.•Built a Forecasting model for Fleet data analysis for Vehicle Lifetime Productivity in SAS. The projections are a part of the monthly KPI reporting and include descriptive analysis that helped in warranty cost recovery of 400,000 SEK in the EU market in 2019, a jump of ~30% from 2018.•Designed and developed a self-serve framework for root-cause analysis of faults, using Python, MS SQL Server and Power BI, bringing down the average lead time of resolving product issues from over 200 days to around 120 days.•As the data owner of Quality & Warranty data mart, ensured delivery of Analytics products and services in compliance with data-related regulations. Also, migrated the Field Quality Data analytics model from SAS to Azure Cloud which reduced operational cost and improve the cross functional collaboration by developing a Unified Data Platforms.•Established the first Data Science team in Volvo Group India. This was achieved through defining a skill matrix for

Bengaluru Area, India

Automate and enhance monthly financial summary report of Canada Commercial Banking portfolio.Develop daily balance fluctuation reportDelivering data remediation projects like DQ framework, cleansing KYC/CDD data and automating the data ETL process using SAS and Shell scripts.

Bangalore

Automate Incentive Compensation Program (ICP) that provides consistent and accurate payouts to collection agents, meeting all the compliance and regulatory requirements.Delivery management of Oracle ApEx applications encompassing multiple departments within CML.Write SAS program for CPR-CDR (Constant Default Rate and Conditional Prepayment Rate) calculator that helps in segmenting the portfolio into pools of accounts based on their potential risk.

Bengaluru Area, India

Develop interactive reports for CML US operations on Oracle ApEx platform using PL/SQL and JavaScript.Automate ETL by writing SAS programs.

Mumbai Area, India

Write Java programs that would use SOAP API to interface between the user-provisioning system and new tools to-be integrated to the system.Develop many reusable code components including email alerts, report generator and log file writer.Develop PL-SQL Procedures, Functions and Triggers to capture user location changes and facilitate mailbox movement.Perform Unit testing and System testing of code components developed by self and fellow team members.

Master Of Technology - Mtech, Data Science And Engineering

Linear Algebra | Discrete Mathematics | Probability and Statistics | Data Structures and Algorithms | Computer Organization and Software.

B.E., Computer Science & Engineering

Senior School Graduation

Matriculation