MOHAMMED RESHMA
Kansas City,MO
Summary
Resourceful team player with experience with common software applications and social media platforms. Well-versed in business organization and strategies for successfully modernizing workplaces. Skilled at project support with proven history of solutions-oriented problem-solving. Skilled multitasker with superior work ethic and good teamwork, problem-solving and organizational skills. Willing to take on any task to help team. Reliable and dedicated team player with hardworking and resourceful approach. Driven to learn quickly, advance computer proficiency and training in industry operations. Solid background in field and office settings supporting team needs. Flexible and hardworking team player focused on boosting productivity and performance with conscientious and detail-oriented approaches. Reliable business professional with experience in project management, process improvement and financial analysis. Proven track record of successfully streamlining business operations and reducing costs. Adept at analyzing data to identify trends and developing strategies to improve efficiency.
Overview
5
5
years of professional experience
Work History
Intern
IDSS
12.2023 - 04.2024
- Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
- Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.
- Sorted and organized files, spreadsheets, and reports.
- Gained hands-on experience in various software programs, increasing proficiency and expanding technical skill set.
- Contributed to a positive team environment by collaborating with fellow interns on group projects and presentations.
Basics of Machine Learning at Intershala
04.2020 - 05.2020
- Learnt the use and development of computer systems that can learn and adapt without explicit instructions, by analysing and drawing conclusions from data patterns using algorithms and statistical models.
National Small Industries Cooperation limited (NSIC), India
06.2019 - 07.2019
- Learnt about Various PCB circuits, designing and Basics of electronics
Education
Master of Science - Computer Science
University of Central Missouri
Warrensburg, MO05.2025
B. Tech in Electronics and Communication Engineering -
Sreenidhi Institute of Science & Technology
01.2021
Intermediate Education (MPC) -
Sai Chaitanya Junior College
01.2017
Secondary School Certificate -
Tejaswi Residential School
01.2015
Skills
- C
- C
- Python
- Java
- Strong verbal and written communication skills
- Good analytical skills and Presentation skills
Activities
Participated in MSME-THON conducted at Sreenidhi Institute of Science & Technology, 02/2019
Projects
LUNG CANCER DETECTION USING MATLAB-IMAGE PROCESSING, 05/2021, The detection and treatment of lung cancer at an early stage is very much important when it bothers human mortality rate. This method is about diagnosing the disease at early and crucial stages with intelligent computational techniques with various distortion removals by segmentation techniques and algorithms, which are the root concepts of image processing. Watershed Segmentation is one of the imaging techniques used for diagnosis of Lung Cancer. This system will take X-Ray or CT images as input and process on them using various technique like images enhancement, segmentation, feature extraction and detect stages of cancer. KIDNEY STONE DETECTION USING IMAGE PROCESSING, 05/2021, The precise identification of kidney stones is critical to the success of surgical procedures. The ultrasound images of the kidney contain speckle noise and are low contrast, making it difficult to identify kidney abnormalities. Many researchers have made contributions to the field of kidney stone detection by presenting various algorithms for detecting kidney stones in MRI images. Some people emphasized the importance of strong and effective segmentation for accurate stone detection. Ultrasound images typically contain Speckle noise, which cannot be removed by humans. As a result, we preferred automated techniques for detecting kidney stones in ultrasound images that used the mediann filter rather than the Gabor filter.
Training
- Machine Learning Workshop conducted by Kyrion Technologies Pvt. Ltd. At Indian Institute of Technology, Hyderabad in association with Elan & nVision, 02/2020
- Bigdata Workshop under the International E-Summit organized by KODE Campus, at Sreenidhi Institute of Science & Technology, 04/2019
- Workshop on PCB Design at SNIST, Hyderabad, 10/2018
- Workshop on Embedded Systems at SNIST, Hyderabad, 08/2018
Timeline
Intern
IDSS
12.2023 - 04.2024
Basics of Machine Learning at Intershala
04.2020 - 05.2020
National Small Industries Cooperation limited (NSIC), India
06.2019 - 07.2019
Master of Science - Computer Science
University of Central Missouri
B. Tech in Electronics and Communication Engineering -
Sreenidhi Institute of Science & Technology
Intermediate Education (MPC) -
Sai Chaitanya Junior College
Secondary School Certificate -
Tejaswi Residential School
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