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Nikita Chistyakov

Nikita Chistyakov

Certified

Big Data Engineer

EPITA | Paris

Technologies

My Portfolio Highlights

My New Course

Exploratory Data Analysis in Python

My New Course

Intermediate Python

My New Course

Creating Dashboards in Tableau

Quantitative storyteller, weaving narratives through data analysis.

My Work

Take a look at my latest work.

course

Intermediate Python

DataLab

Product Sales Analysis

course

Data Manipulation with pandas

My Certifications

These are the industry credentials that I’ve earned.

SQL Associate

SQL Associate

Data Analyst

Data Analyst

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Back Market | Jan 2024 - Jul 2024

Payment Analyst

I'm excited to start a new adventure in the Finance department and contribute to payment performance analytics. I will leverage Excel, Tableau, and SQL to monitor and enhance the payment performance based on key metrics, assist with reporting, and establish best practices benchmarks. My goal is to contribute to team success by boosting the performance of current partners and improving strategies of payment success. What excites me about this role is the chance to bring together my skills in finance and technology, learn about the payments field, and apply my passion for data analytics and sustainability. I believe that being part of the Payment & Fraud team, I can contribute to the financial success of Back Market.
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Education and Skill Development | Aug 2021 - Present

Data Science & Analytics

Projects: I. Developed a web application enabling users to upload a query image and a support set of three images. Utilized a few-shot learning algorithm and integrated OpenAI via API to identify the most similar image from the set. Delivered a user-friendly interface for seamless client interaction. II. Implemented advanced Deep Learning, Machine Learning, and NLP algorithms for comprehensive data and text analysis, specializing in solving regression and classification problems. Gained proficiency in Python to design and deploy these cutting-edge technologies in PyCharm, contributing to enhanced data insights and informed decision-making. Libraries used: scikit- learn; pandas; tensorflow; NumPy; Matplotlib. III. Conducted comprehensive data exploration using Orange and DataIKU, merging diverse datasets from SNCF to predict loss and found frequency. Performed in-depth analysis, created data visualizations, and developed a user-friendly dashboard using DataIKU for streamlined insights and reporting. Education and Skill Development: - Master's in Data Science and Analytics from EPITA - Udemy: Python for data science - Exercism.org: Developing programming skills on Python track through code practice and mentorship - DataCamp: Data Scientist with Python track - Giles McMullen-Klein: Python Programmer - DataIKU Academy: ML; Statistical analysis; Dashboard - Bonnie Wan: The Life Brief - Storytelling with data: https://www.storytellingwithdata.com/blog

Goodby Silverstein & Partners | Jun 2012 - Jan 2023

Data research and analytics strategist

I crafted my skill set at GS&P immersed in the world of data as a creative superpower. As a data strategist, I understand that each dataset holds a unique narrative. Utilizing data analytics and statistical tools, I've mastered the art of unveiling the underlying structure of datasets. My proficiency lies in converting raw data into meaningful insights, emphasizing business value and strategic relevance. Through visualization and language, I convey the concealed significance of data, enabling effective communication of findings to guide business improvement in high-value areas. As an ongoing product, I managed the agency's long-standing Omnibus research project for 5 years, overseeing its transition from MatrixLab to Qualtrics for improved efficiency. Facilitated inter-platform migration, handled data encoding, and pre-tested alternative platforms. The project, running for over 10 years, consistently high-visibility with 400+ respondents and 10 participants, serving as a vital resource for primary exploratory research and trend analysis to support strategic objectives.

Omnicom | Jun 2012 - Jan 2023

Data research and analytics strategist

N/A

Diverse jobs while in college | Jan 2007 - Jan 2012

Assorted

From McDonald's to Weather Masters, and everything in between. I have experienced a complete organizational cycle of a workplace, from the kitchens where the food is prepared, to client-facing customer service positions where the products are sold, to the building's rooftops where the air conditioners are installed. These jobs and experiences helped me learn responsibilities, build my character and work ethic, and stay curious and passionate about problem- solving.

Circuit City | Jan 2003 - Jan 2007

Retail Sales Specialist (audio/video systems)

Sales consultation and installation of home and car audio and video equipment/systems (including home theater)

RadioShack | Jan 2000 - Jan 2002

Sales Associate

N/A

My Education

Take a look at my formal education

Master's in computer science in Data Science and AnalyticsEPITA: Ecole d'Ingénieurs en Informatique | 2024
Data Scientist with Python track in Big DataDataCamp | 2022
Data Science track, data analysis, processing, and visualization with PythonUdemy Alumni | 2021
Certificate Program in Quantitative AnalysisUC Berkeley Extension | 2014
Bachelor of Arts (BA), Economics in AccountingCalifornia State University-East Bay | 2011

About Me

Nikita Chistyakov

Looking for data engineering opportunities. My manager once described me as having “a heart for art and a brain for numbers,” a reflection of my ability to balance creativity with analytical thinking.

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