Check the reasoning
Use mathematical foundations to follow each step, test assumptions, and verify whether a conclusion is sound.
Analysis · Algebra · Linear Algebra · Differential Equations
Academic portfolio · Delhi, India
Mushir
Uz Zaman.
M.Sc. Mathematics with Computer Science Graduate
Mathematics is the foundation of my work: rigorous thinking, clear definitions, and careful reasoning.
I completed my M.Sc. in Mathematics with Computer Science at Jamia Millia Islamia, New Delhi, with study across Real Analysis, Algebra, Linear Algebra, Differential Equations, Topology, and Numerical Analysis.
My computer science coursework includes Data Structures, DBMS, and Operating Systems, alongside programming in C, Java, and SQL.
I approach each task with careful code tracing, structured problem-solving, and technical clarity.
Languages: Hindi and professional English.
About
Knowledge for
AI review.
My academic background supports the careful checking, structured problem-solving, and clear explanations needed in AI training and review.
AI TRAINER & REVIEWER · CAREER DIRECTION
Mathematics and computer science provide a careful, evidence-led way to assess answers and give constructive feedback.
Trace the code
Read program flow carefully and look for logic issues in technical solutions.
Arrays · Functions · Recursion · C · Java
Give clear feedback
Communicate technical ideas clearly in Hindi and professional English.
Data Structures · DBMS · Scientific reasoning
Expertise
Explore what
I have studied.
Select a subject below; only its detailed topics will appear.
Mathematical foundations
Calculus, Algebra, Real Analysis, Linear Algebra, Abstract Algebra, Differential Equations, Topology, Numerical Analysis, Functional Analysis, Complex Analysis, Metric Spaces, and Fixed Point Theorems.
Use in AI training & review: checking logic, following multi-step reasoning, verifying assumptions, and evaluating mathematical answers.Programming practice
Arrays, strings, loops, functions, recursion, searching, sorting, basic algorithms, C programming, Java programming, object-oriented programming, Python, and SQL.
Use in AI training & review: tracing code, checking program logic, finding errors, and assessing technical answers.Core systems & software
Data Structures, Algorithms, DBMS, Operating Systems, Web Designing, Software Engineering, and Object-Oriented Programming.
Builds a structured understanding of programs, data, databases, and software systems.Scientific foundations
Mechanics, motion, waves, optics, electricity and magnetism, measurement, and mathematical modelling of physical systems.
Supports quantitative reasoning and systematic analysis of scientific questions.Scientific foundations
Physical, organic, and inorganic chemistry, quantitative observation, laboratory-based concepts, and scientific problem-solving.
Developed careful observation and evidence-based scientific reasoning.Hindi communication
Native-level communication for clear everyday explanation, reading, and writing.
Useful for communicating ideas clearly to Hindi-speaking audiences.Professional English
Professional reading, writing, technical communication, and structured explanation.
Used for academic material, documentation, and professional communication.Online learning
Courses &
certifications.
Additional learning and practice completed through online platforms.
Python
Course certificate completed on Kaggle.
View certificate ↗Intro to Machine Learning
Course certificate completed on Kaggle.
View certificate ↗Python
Python programming practice on HackerRank.
View HackerRank profile ↗SQL
SQL practice on HackerRank.
View HackerRank profile ↗Problem solving
Practising algorithms by solving a wide range of questions.
View LeetCode profile ↗Career direction
Where I want to
build my career.
AI Trainer & Reviewer
I want to build a career in AI training and review, using mathematical reasoning, programming knowledge, attention to detail, and clear communication to evaluate responses and give useful feedback.
My direction
Think precisely.
Build practically.
Mathematics is the foundation of how I approach problems: break them into clear parts, test assumptions, and follow the reasoning carefully. I apply that mindset through Python, machine learning, SQL, and computer science.
I’m interested in remote opportunities involving mathematical reasoning, data quality, model evaluation, coding, and analytical problem-solving.
Priority 01
Mathematical
expertise.
Reasoning, abstraction, modelling, and structured problem-solving.
Analytical reasoning
Working carefully with definitions, assumptions, proofs, convergence, functions, and multi-step mathematical arguments.
logic → result
Linear & abstract thinking
Understanding structure through linear algebra, vector spaces, transformations, groups, rings, and related abstractions.
T : V → W
Modelling & optimization
Translating real questions into equations, constraints, numerical methods, differential equations, and optimization problems.
min f(x)
Quantitative problem-solving
Combining numerical accuracy, logical verification, statistical thinking, and clear explanation to solve technical problems.
check ✓ explain
Featured research · 01
Study of Three
Generalized Fixed
Point Theorems.
MATHEMATICAL RESEARCH
A focused study of three generalized fixed point theorems, examining the conditions that lead a mapping sequence toward a stable solution.
FocusComparing hypotheses, mappings, and convergence arguments.
ApproachStructured proof-based analysis using abstract mathematical concepts.
OutcomeClearer understanding of fixed point methods in functional analysis.
Applied toolkit
From reasoning
to results.
Skills developed through academic study, coding practice, and online coursework.
LANGUAGE
Python
Core programming · Functions · Data structures · Problem-solving · Automation
DATA
SQL
Queries · Filtering · Joins · Aggregation · Relational databases
MODELLING
Machine Learning
Data preparation · Supervised learning · Model training · Validation · Evaluation
WORKFLOW
Data analysis
NumPy · Pandas · Visualization · Interpretation · Clear reporting
Current focus: strengthening practical skills through consistent coding, data work, and quantitative problem-solving.
Priority 02
Code, data &
machine learning.
Turning mathematical thinking into useful programs and evidence-based results.
01Python & dataPython · NumPy · Pandas · Data cleaning · Exploratory analysis
02Machine learningScikit-learn · Regression · Classification · Validation · Metrics
03SQL & databasesSQL · Joins · Aggregations · Relational modelling · DBMS
04AlgorithmsArrays · Linked lists · Trees · Graphs · Sorting · Searching
05Programming foundationsC · Java · OOP · HTML · CSS · JavaScript
AI training & review direction: building mathematical, coding, and evaluation foundations for careful reasoning and clear feedback.
Priorities 03 + 04
Broader scientific
foundations.
Physics and Chemistry studied during my Bachelor’s degree.
φ
03 / UNDERGRADUATE STUDY
Physics
A supporting foundation for understanding motion, systems, measurement, and the mathematical language of the physical world.
∑
04 / UNDERGRADUATE STUDY
Chemistry
A supporting foundation in scientific observation, quantitative reasoning, matter, and chemical systems.
Education
My academic
foundation.
Two completed degrees linking mathematical depth, computing foundations, and scientific study.
POSTGRADUATE · COMPLETED
01M.Sc. Mathematics
with Computer Science
Jamia Millia Islamia, New Delhi
Advanced mathematical study alongside computer-science foundations: analysis, algebra, differential equations, programming, algorithms, and databases.
Mathematics · Programming · Algorithms · Databases
UNDERGRADUATE · COMPLETED
02B.Sc. in
Mathematics
Vinoba Bhave University, Jharkhand
Mathematics was my main subject, supported by Physics and Chemistry electives, building quantitative modelling, scientific observation, and disciplined problem-solving.
Mathematics · Physics & Chemistry electives
Profiles
Explore my
profiles.
One place to explore my project, professional, coding-practice, and learning profiles.
Open to opportunities
Need a careful mind?
On a technical problem.
Available for remote work in mathematics, Python, SQL, machine learning, and structured problem-solving. Interested in AI training and review, with a focus on careful reasoning and clear technical feedback.
mushirazaman11@gmail.com ↗