Beginning my career, building skills and projects to grow into professional roles.
A small collection of learning projects and experiments that show what I can do and what I'm learning next.
Developed an Android application to identify crop leaf diseases using image-based machine learning techniques. Integrated TensorFlow Lite models for efficient and offline disease detection on smartphones. Designed a simple and intuitive user interface to assist farmers with disease identification and treatment guidance.
Performed comprehensive data cleaning and transformation to ensure data accuracy and consistency. Conducted in-depth Exploratory Data Analysis (EDA) using Pandas, Matplotlib, and Seaborn to uncover trends and patterns. Analyzed customer demographics (state, occupation, gender, and age group) to identify target segments and improve customer experience. Identified top-performing product categories and high-demand products, supporting inventory planning and driving sales growth.
vCISO Services · Oct 2026 · ✅ Verified by Extern
Be a junior security consultant. Find a company's weak spots, score them on NIST and create a deck for senior leaders.
Beginning my career, building skills and projects to grow into professional roles.
I am Umar Maniyar. I am at the start of my career and have little formal work experience. I am exploring roles and projects to build practical skills and a portfolio.
Experience
Engineering Intern 6 Data Science & Machine Learning
AIIMS Technology Council (IIMSTC) & Engineers Council of India (ECI) · 02/2026 6 Present
Education
Ghousia College of Engineering, Ramanagara
B.Tech in Computer Science Engineering (VTU University) · Class of 2026
International Indian School, Al Jubail, Saudi Arabia
12th Grade - Science with Biology and Maths · Class of 2022
International Indian School, Al Jubail, Saudi Arabia
10th Grade - Science · Class of 2020
Skills
Developed an Android application to identify crop leaf diseases using image-based machine learning techniques. Integrated TensorFlow Lite models for efficient and offline disease detection on smartphones. Designed a simple and intuitive user interface to assist farmers with disease identification and treatment guidance.
Performed comprehensive data cleaning and transformation to ensure data accuracy and consistency. Conducted in-depth Exploratory Data Analysis (EDA) using Pandas, Matplotlib, and Seaborn to uncover trends and patterns. Analyzed customer demographics (state, occupation, gender, and age group) to identify target segments and improve customer experience. Identified top-performing product categories and high-demand products, supporting inventory planning and driving sales growth.
✅ Verified by Extern
Be a junior security consultant. Find a company's weak spots, score them on NIST and create a deck for senior leaders.
The project assessed an organization's cybersecurity posture and translated findings into NIST-aligned risk scores. The work involved enumerating vulnerabilities, mapping them to relevant NIST controls, and compiling a concise presentation for senior leaders.
I reconciled two conflicting internal asset records into a cleaned, reconciled inventory and mapped identified vulnerabilities to NIST controls as part of a scored cybersecurity risk assessment.
