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Amulya Tiwari

@amulyatiwari

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Dedicated data analyst with a passion for uncovering insights.

India

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What I'm looking for

I am looking for opportunities that allow me to leverage my analytical skills in a collaborative environment, focusing on data-driven decision-making and innovative solutions.

I am a dedicated and analytical professional with a keen eye for detail and a passion for uncovering insights. My solid foundation in data analysis and statistical methods, coupled with proficiency in tools like Excel, Python, and MySQL, allows me to effectively manipulate and interpret complex data sets. I thrive on challenges and enjoy turning data into actionable business insights.

In my current role as an Analyst Tester at FNZ Group, I have contributed to over 10 major product releases in the wealth management sector, collaborating with cross-functional teams to improve release quality and reduce post-deployment defects. My previous experiences include a Machine Learning Internship at IIT-Indore, where I worked on medical image segmentation, and a Data Analyst Internship at Sciffer Analytics, where I developed a YOLO-based object detection model.

Experience

Work history, roles, and key accomplishments

Current

Analyst Tester

Current

FNZ Group

Jul 2023 - Present (2 years 1 month)

Contributed to over 10 major product releases for global clients in the wealth management sector. Collaborated with cross-functional teams to execute end-to-end test cases, improving release quality and reducing post-deployment defects.

Performance Testing API Testing Functional Testing Jenkins Wealth Management

Machine Learning Intern

IIT-Indore

May 2022 - Present (3 years 3 months)

Worked on a medical image segmentation project involving over 1,000 multimodal MRI and CT scans. Integrated imaging data with clinical text notes to enhance model robustness, improving segmentation performance by approximately 10%.

Machine Learning Computer Vision Medical Imaging TensorFlow Deep Learning

Data Analyst Intern

Sciffer Analytics Private Limited

Nov 2021 - Present (3 years 9 months)

Worked on a computer vision project, collecting and annotating over 5,000 image samples to train an object detection model. Built a YOLO-based model that achieved approximately 70% accuracy in detecting objects across multiple classes.

Computer Vision Object Detection YOLO LabelImg Python

Education

Degrees, certifications, and relevant coursework

St Thomas English Medium School

12th Standard, High School Studies

Grade: 90.5%

Completed senior secondary education. Studied a broad curriculum preparing for higher studies.

St Thomas English Medium School

10th Standard, High School Studies

Grade: 94.6%

Completed secondary education. Developed foundational academic skills.

Delhi Technological University

B.Tech, Computer Science

Grade: 8.7/10

Activities and societies: Managed various strategic events at prestigious colleges like IITD and IIMA, etc. Represented DTU at MoodI, IITB as a member of Madhurima, music club of DTU. Managed and participated in financial events being a part of Assets, finance club of DTU. Ex-Events head at the Indian Game Theory Society (IGTS-DTU). Performance testing team lead.

Pursued a Bachelor of Technology degree. Focused on core computer science principles and engineering applications.