IT Интерн (Java, python, C#)

Описание

NURZHAN DANENOV
Desired Position: Junior Data Analyst/ML Engineer
nurdanenov@gmail.com / +7 702 999 1968 (preferred means of communication) EDUCATION
Al-Farabi Kazakh National University
September 2021 - Current
B.S. |Concentration: Robotics
GPA: 3.63 /4.00
Relevant Coursework : Programming for Engineers, Algorithms in Programming, Fundamentals of
Robotics, Electronics, Electrical Circuits, Theoretical Mechanics, Material and Manufacturing, Dif-
ferential Equations and Linear Algebra, Numerical Methods in Engineering, Physics
EXPERIENCE Junior Analyst
April 2022 - March 2023
ATM Trade and Service
· Collecting and organizing client archive data
· Conducting research and market analysis
· Assisting in financial analysis and forecasting, identifying trends and patterns, and collaborating
with other team members to provide insights and recommendations for business improvement
Tutor at Arqalan Center for Teaching and Learning August 2021 - December 2021
Tutor for Physics and Mathematics
Conducted tutoring sessions for high school students in Physics and Mathematics

SKILLS
Programming Languages
Python, C++ , Git , SQL, Data Analysis , Power BI,
Microsoft Office
Languages English (B2), Russian (C1), Kazakh (Native)
RELEVANT TRAINING AND CERTIFIED COURSES Certified Data Analysis courses (Advanced Excel, Power BI, SQL, Python, ML)
QSTEM Nov 2022 - May 2023
· Learned how to work with large datasets, perform complex calculations, create interactive dash-
boards, and automate repetitive tasks to enhance productivity and efficiency in Excel
· Learned how to connect to various data sources, create interactive reports and dashboards, apply
advanced data modeling techniques, and share insights with stakeholders, empowering them to make
data-driven decisions effectively using Power BI tool
· Gained practical skills in creating and managing databases, writing complex queries, and optimizing
database performance, enabling them to work effectively with relational databases and handle data
efficiently using SQL. The SQL course covered the fundamentals of Structured Query Language
(SQL), including database design and management, querying and manipulating data using SQL
commands, and advanced topics such as joins, subqueries, and stored procedures.
· The advanced Python course covered topics such as ob ject-oriented programming, file handling and
input/output operations, advanced data structures, and database connectivity
· Performed term pro ject that aimed to predict UFC fight results using a comprehensive dataset
spanning from 1993 to 2021. By employing advanced data analysis techniques and machine learning
algorithms, the pro ject aimed to extract meaningful patterns and features from the data to develop
a predictive model that can accurately forecast fight outcomes.