Welcome to About me page!

My name is Sharif Rakhimov and I'm very exited you decided to visit my page.

 

I am experienced and dedicated Data Analyst and Data Engineer aimed on finding  data - driven business solutions and automating data pipelines to deliver consistent results. 


In order for you to gain best understanding of my skills and experiences that combined describe who I'm as a Data  Professional, below I provide my work style and methods of how i get the work done. While following this style of work I'm still open to adapting new techniques and experiences that may lead to more effective results. 

Delivering consistent and sound data - driven solutions for a business requires set of unique analytical and technical skills. 

In my typical work flow, I start with analyzing and understanding current business challenge that I intend to solve. Once i have clear picture of what is expected from the project, then I divide project into 2 phases:

1. Finding data - driven solutions and insights

2. Automating the process to deliver consistent results

During Phase 1, I work on finding the right data through data exploration and data profiling, extracting the data, processing data and loading it to proper platform using modern ETL technoligies and tools like data-scraping, API, Python, PySpark, SQL, Advanced Excel and Cloud computing and storage services . Once I have relevant data available and ready for use, I start analyzing data, finding inter-relationships and connections with business challenge I intend to solve, extract valuable insights, forecast future trends and derive actionable decisions. Armed with all my data - findings I draft presentation for stakeholders and visualize my findings to make it more effective and time-efficient using modern analytical tools and technologies like Power Point, Power BI, Plotly Dash, Machine Learning Algorithms, Cloud Analytical Platforms and services

During Phase 2. I start on drafting data pipeline architecture to automate Phase 1. For this purpose I write a script capable of performing full scale ETL process. Then using AWS Cloud services, I allocate necessary services and build an orchestrated and automated process integrating previousely developed script into pipeline and design a schedule for pipeline to run based on business needs, all using AWS cloud services. 

I've always had a passion for analytical work, often times I find myself making minor day to day life decisions based on quick series of analysis unconsciously. In college, when presented with materials for work, I would quickly sort out valuable content from peripheral that would enable me spend more time on studying relevant subject and be ahead of my peers. Nowadays, with data becoming so overwhelmingly BIG, it's crutial to have knowledge and skillts to be able to analyze it using modern tools and technologies. Below I provide set of skills I learned, practiced and obtained during my career:

 

EXPERIENCE

  1. Genesis10. Data Consultant. Feb 2022 - Current (Working for company clients)
    • Provide Application Support within Data Ops team, finding application failure points through analyzing log reports in local and cloud environments, building Confluence page, Data cleaning, transformation and masking, identifying data pipeline week points and addressing it with development team, Monitoring autosys jobs, AWS processes, Splunk Dashboards, Validating data in databases through Hue (in Hadoop) and SQL Workbench, Athena, Redshift (for cloud data stores).
  2. Maple Dining Inc. Managing Partner. Jul 2015 - Jan 2022
    • Manage chain of stores for the company: inventory control, scheduling, policy enforcement, customer interaction, budget management, P&L and other day to day operational tasks
  3. Eskhata Bank.Business Loan expert. Jun 2010 - Dec 2013
    • Screen customers for loan requirements, conduct business and household analysis, conduct underwriting based on preceding analysis, build business financial statements of current position, cash flow, P&L, present potential loan offer to business loan board for approval, monitor current customer base, re-evaluate repayment capacity based on market changes.

EDUCATION

  1. Institute of Business and Services. Bachelors in Economics. Sep 2005 - Jun 2010
    • Awards: Best college student of 2007-2008 in Economics
    • President of college's English Club
    • 3rd place in National Student Olympiad in Economics
  2. Dev10. Data Cohort. Feb 2022 - May 2022
    • Extensive selection process - only 5% of applicants hired.
    • Thorough, extensive and comprehensive data cohort study and practice tought by filed experts