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PIYUSH JAISWAL

Trainee Engineer at Multifonds | Python, Java, SQL | Machine Learning & Data Analytics | Aspiring Software / Data Engineer

Bengaluru

2+ years of work experience

Multifonds
Sep 20251 yPresent

Bengaluru, Karnataka, India

Working with financial and reporting tools including Java, SQL, Oracle, Jasper Reports, and TOAD for application support and reporting tasks. Assisting in database management, report generation, and understanding financial software workflows. Collaborating with team members to enhance technical, analytical, and problem-solving skills through real-time project exposure.
EduSkills Foundation
Jan 20243 mosMar 2024

India

Cube
May 20237 mosNov 2023

Bengaluru, Karnataka, India

Acmegrade
Feb 20233 mosApr 2023

Remote

Developed and implemented ML models for predictive analytics, improving forecast accuracy by 30%. Conducted data analysis and improved pipelines, cutting processing time by 40%. Presented findings, boosting Python skills and driving 3 new data strategies.

PIYUSH’s AI Stack

antigravity
antigravity
claude code
claude code
codex
codex
cursor
cursor
github copilot
github copilot
hugging face
hugging face

Education

KIIT - Kalinga Institute of Industrial Technology

Bachelor of Technology - BTech, Information Technology

KIIT - Kalinga Institute of Industrial Technology

20214 yrs2025
Kalinga Institute of Industrial Technology, Bhubaneswar

Bachelor of Technology - BTech, Information Technology

Kalinga Institute of Industrial Technology, Bhubaneswar

20214 yrs2025

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Headline

Trainee Engineer at Multifonds | Python, Java, SQL | Machine Learning & Data Analytics | Aspiring Software / Data Engineer

About

I am an Information Technology graduate from KIIT University with a strong interest in building real-world software and data solutions. My core strengths are in Python, Java, SQL, and machine learning, supported by solid CS fundamentals such as data structures and algorithms, DBMS, operating systems, and computer networks.​​ I’ve gained hands-on experience through internships in both data science and business analytics. At Acmegrade, I developed ML models for predictive analytics that improved forecast accuracy and optimized data pipelines to significantly reduce processing time. At Eduskills Foundation, I used Celonis’ process mining platform to analyze end-to-end business processes, uncover execution gaps, and identify opportunities to create measurable business value.​​ Beyond internships, I enjoy working on challenging projects end to end. I built a Meeting Assistant that records, transcribes, and summarizes online meetings using a Chrome extension, a Python backend on Hugging Face, and a React frontend backed by Supabase (PostgreSQL). I also created SecureVault, a WPF-based desktop file encryption app in C# using the MVVM pattern, and led a team project on Handwritten OCR that achieved over 92% accuracy on the EMNIST dataset with TensorFlow.​​ My interests lie at the intersection of software engineering, data science, and intelligent automation. I’m especially excited about roles where I can design scalable systems, build ML-powered features, and collaborate with cross-functional teams to ship impact-driven products.​​ I am currently open to full-time opportunities in software engineering, data science, and business analytics. If my background aligns with what you’re building, I’d be happy to connect and explore how I can contribute.

Location

Bengaluru

AI stack

antigravity

claude code

codex

cursor

github copilot

hugging face

Work experience

Trainee - Engineer at Multifonds, Sep 2025 - Present · 1 y, Bengaluru, Karnataka, India, Working with financial and reporting tools including Java, SQL, Oracle, Jasper Reports, and TOAD for application support and reporting tasks. Assisting in database management, report generation, and understanding financial software workflows. Collaborating with team members to enhance technical, analytical, and problem-solving skills through real-time project exposure.

Business Analyst Intern at EduSkills Foundation, Jan 2024 - Mar 2024 · 3 mos, India

Business Development Associate at Cube, May 2023 - Nov 2023 · 7 mos, Bengaluru, Karnataka, India

Data Science Intern at Acmegrade, Feb 2023 - Apr 2023 · 3 mos, Remote, Developed and implemented ML models for predictive analytics, improving forecast accuracy by 30%. Conducted data analysis and improved pipelines, cutting processing time by 40%. Presented findings, boosting Python skills and driving 3 new data strategies.

Education

Bachelor of Technology - BTech, Information Technology, KIIT - Kalinga Institute of Industrial Technology

Bachelor of Technology - BTech, Information Technology, Kalinga Institute of Industrial Technology, Bhubaneswar