HARISHANKAR SEKHAR

Mobile 317-***-**** Email ad3nke@r.postjobfree.com https://www.linkedin.com/in/harishankar-sekhar-9b50381b3 As an aspiring professional poised to complete my master’s degree in Computational Data Science by May 2024 from Purdue University, I am eagerly seeking full-time opportunities in the AI/ML and Data Science related sectors. As a committed and hardworking person, I am keen to contribute and evolve as a data scientist in a dynamic and diverse team. Indian Space Research Organization (ISRO) May – July 2020

• Independently designed a PID control system for a quadcopter drone leveraging MATLAB for simulation and dynamic modeling.

• Innovated in addressing the underactuated nature of the drone (4 actuators, 6 DOF) by devising a motor mixing algorithm for independent control of roll, pitch, yaw, and thrust.

• Integrated and analyzed data from multiple sensors (Ultrasound, Camera, Pressure Sensor, IMU) to accurately determine the drone's state for effective maneuvering.

• Fine-tuned PID controllers for each motion axis, achieving optimal flight stability and response times under varying atmospheric conditions.

• Utilized genetic algorithm to generate optimal trajectories for precise landing and hovering, significantly enhancing the drone's operational efficiency and control accuracy.

M.S. School of Science, Purdue University, (IUPUI) Indianapolis, USA 2022-PRESENT Computational Data Science (GPA:3.6/4)

B.Tech. Manipal Institute of Technology Manipal, India 2017-2021 Instrumentation and Control Engineering (GPA: 8.59/10) Relevant courses(M.S.): Applied Regression Analysis, Applied Decision Theory and Bayesian Statistics, Data Mining, Data visualization, Categorical Data Analysis, Deep Learning, Statistical Machine Learning, Data Analytics, Applied Multivariate Analysis Relevant courses(B.Tech.): : Introduction To Interactive Programming in Python, Mathematical Problem solving using Python, Algorithmic Thinking, Neural Network and Fuzzy Logic, Principles of Computing using Data Structures, Digital Image Processing Programming languages: Python, R, MATLAB, Assembly Language, C++, SAS Database Skills: SQL, MongoDB

Software Tools: Jupyter, R Studio, Power BI

Libraries: Pandas, Numpy, Matplotlib, Seaborn, Keras, Tensorflow, Pytorch, Scikit-Learn, BeautifulSoup, HuggingFace,D3,OpenCV Real time Face detection using Siamese Network [Project] November 2023

• Utilized the LFW(Labelled Faces in the Wild) dataset for negative image collection and enhanced user photos for positive and anchor images in face detection

• Implemented feature embedding comparison for accurate real time detection, achieving 0.9 recall,0.95 precision and 0.85 accuracy.

Metaphor Detection of specific words in sentences [Project] November 2023

• Scraped and preprocessed data from breast cancer support forum, employing techniques like lemmatization and tokenization.

• Analyzed data with advanced state-of the art models including Bi-Directional LSTM and BERT, attaining 0.9 in accuracy, precision, recall and F1-score.

Crop Row Detection using UNET architecture [Project] November 2022

• Developed a system for automated water and fertilizer dispensing in agriculture, using video frame analysis.

• Successfully detected crop rows with a UNET model, achieving a 0.65 mIoU and augmenting data for greater dataset variability. Least Squares Support Vector Regression (LSSVR) based modelling and control of batch reactor May 2021 – August 2021

(Final year B.Tech project)

• Modelled a batch reactor using LSSVR to capture plant dynamics for enhanced control and efficiency.

• Designed a Generalized Predictive Control (GPC) system for precise temperature control in both linear and nonlinear input profiles.

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