Nikhil B M

Experience

• 

  National Institute of Technology Karnataka

  May 2018 - Jul 2018

  Research Intern

  I interned at NITK, Surathkal under Proff.Sripathi Acharya(http://ece.nitk.ac.in/faculty/u-sripati) during my summer off. This internship was research orientated. I worked in the areas of Digital and Optical Communication. From building a transmitter- receiver system to error coding techniques were implemented.

• 

  KarMic Design Private Ltd

  Dec 2018 - Dec 2018

  Research Internship

  Implemented I2C master bus controller for combining various microcontrollers on FPGA using Xilinx; increased the performance of master bus by 10%.

• 

  Indian Institute of Science (IISc)

  May 2019 - Jul 2019

  Summer Intern

  • Developed a Generative Adversarial Network (GAN) in upscaling a low-resolution scale 10 satellite image to a higher-resolution scale 30 image; enhanced image detection performance by 25%.• Designed a Super Resolution GAN using ResNet with skip-connections and loss functions tweaked to optimize the model.

• 

  Deloitte

  Sept 2020 - Jul 2022

  Data Engineer

  • Led automation of generating temporal business extracts; used ETL tools like Dataiku, Oracle SQL; reducing 50Hrs of manual work per extract and 75% of client expense.• Spearheaded an interactive analytical dashboard to find a correlation between databases from various python data warehouses, reducing manual comparison by 25%.• Developed ETL mappings to move data from multiple data sources into a data warehouse; simplified existing ETL mappings; decreasing run time by 15%.• Led a team of 5 to develop Git pipelines for performing ETL using AWS Lambda, GLUE, and Spark; cutting down manual work by 10hrs.• Trained and mentored junior programmers in ETL methodologies; cutting down time for development by 20%.• Directed various build activities aligning underlying architecture with business requirements, addressing business issues, data reloads, and building data pipelines using Informatica BDM, AWS Glue, and Git pipelines. Show less

• 

  Lumen Technologies

  Jun 2023 - now

  • Spearheaded the development of machine learning models, encompassing regression and boosting algorithms to enable Work In Progress(WIP) forecasting; 28% improvement in weekly, and 10% improvement in daily forecast accuracy for the WIP pipeline.• Led the acquisition and an extensive Exploratory Data Analysis (EDA) of WIP data; facilitated identification of critical patterns, trends, and data drifts; 25% improvement from the baseline model.• Strategically leveraged domain knowledge, statistical tests, regularization, and regression techniques for feature engineering, feature elimination, and optimized variable assessment; reducing dimensionality by 60%. • Collaborated with solution architects, and key stakeholders in refining the requirements, data collection and preparation process, adhering to the company policies, and ensuring data integrity. • Architected comprehensive business reporting and dashboard using PowerBI, focusing on the model’s performance; providing real-time performance tracking; and facilitating a data-driven decision process.• Evaluating business processes, anticipating requirements, uncovering areas for improvement, developing and optimizing strategies, and implementing solutions. Show less

  • Data Scientist

    Aug 2023 - now

  • Data Science Intern

    Jun 2023 - Aug 2023