Pyare Lal Mahawar

Operations Associate

Dhanbad, Jharkhand, India4 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over 4 years of experience in front-end development.
  • Expertise in Agile methodologies and software best practices.
  • Proven track record in enhancing user satisfaction.
Stackforce AI infers this person is a Frontend Developer specializing in Fintech solutions with a strong focus on user experience.

Contact

Skills

Core Skills

Deep LearningData Science

Other Skills

Agile MethodologiesAlgorithmsAndroidAngularJSApplication Performance ManagementAutomationBitbucketC++Cascading Style Sheets (CSS)ConfluenceCross-browser CompatibilityData StructuresFront-End DevelopmentGitHTML

About

Hello! I am Pyare Lal Mahawar, a dedicated Front-end Developer with a strong passion for creating high-quality user experiences. With a Post Graduate degree from IIT and over 4 years of experience in software development, I specialize in front-end engineering, particularly within the financial services domain. Currently, I am an Associate (SDE 2) at Deutsche Bank, where I focus on crafting innovative solutions that meet client needs while continuously enhancing my skills in web and mobile technologies. Throughout my career, I have developed a comprehensive skill set that includes advanced proficiency in JavaScript, React.js, React Native and responsive design principles. I have a proven track record of improving user satisfaction and engagement through the implementation of cutting-edge features and optimization of existing code. My expertise in Agile methodologies and software development best practices allows me to collaborate effectively within cross-functional teams, ensuring timely project delivery and fostering a culture of continuous learning.

Experience

4 yrs 10 mos
Total Experience
4 yrs 10 mos
Average Tenure
4 yrs 10 mos
Current Experience

Deutsche bank

3 roles

Associate

Oct 2023Present · 2 yrs 8 mos

Senior Analyst

Oct 2022Oct 2023 · 1 yr

Analyst

Jul 2021Sep 2022 · 1 yr 2 mos

University of manitoba

Data Science Intern

May 2020Jul 2020 · 2 mos · Winnipeg, Manitoba, Canada

  • During my internship, I developed a deep learning framework to solve inverse scattering problems in electromagnetic imaging. I optimized a forward solver and automated the generation of labeled datasets for scattering target simulations. My work involved training and evaluating deep learning models, which significantly improved the efficiency and accuracy of the imaging workflow.
Deep LearningData ScienceAutomationModel TrainingModel Evaluation

Education

Indian Institute of Technology (Indian School of Mines), Dhanbad

Integrated M.Tech — Mathematics and Computing

Jan 2016Jan 2021

Krishna Vidhya Mandir, Sikar, Rajasthan

Senior secondary examination

Jan 2015Jan 2016

Jawahar Navodaya Vidyalaya, Sawai Madhopur, Rajasthan

Secondary Examination

Jan 2013Jan 2014

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